import { useState, useMemo, useRef } from "react";
import { BarChart, Bar, LineChart, Line, ComposedChart, PieChart, Pie,
         XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer, Cell, ReferenceLine } from "recharts";

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const RAW_CAT_CH       = [{"Channel":"Walmart","Category":"Shortage","Net_CB":2218488},{"Channel":"Grocery","Category":"Unknown","Net_CB":1684632},{"Channel":"Club","Category":"Merch Return","Net_CB":1166063},{"Channel":"Grocery","Category":"Shortage","Net_CB":737427},{"Channel":"Drug & Dollar","Category":"Unknown","Net_CB":475624},{"Channel":"Target","Category":"Merch Return","Net_CB":462702},{"Channel":"Club","Category":"Shortage","Net_CB":358173},{"Channel":"Drug & Dollar","Category":"Shortage","Net_CB":339351},{"Channel":"Digital","Category":"Shortage","Net_CB":310123},{"Channel":"Digital","Category":"OTIF","Net_CB":261757},{"Channel":"Drug & Dollar","Category":"OTIF","Net_CB":244608},{"Channel":"Digital","Category":"Fill Rate","Net_CB":234108},{"Channel":"Target","Category":"Substitution","Net_CB":228369},{"Channel":"Drug & Dollar","Category":"Shipping Prep","Net_CB":218358},{"Channel":"Walmart","Category":"Shipping Prep","Net_CB":217888},{"Channel":"Walmart","Category":"Price Claim","Net_CB":208179},{"Channel":"Digital","Category":"Shipping Prep","Net_CB":196524},{"Channel":"Grocery","Category":"Late Ship","Net_CB":172057},{"Channel":"Target","Category":"Fill Rate","Net_CB":145421},{"Channel":"Target","Category":"Shortage","Net_CB":-135607},{"Channel":"Specialty","Category":"Unknown","Net_CB":125729},{"Channel":"Digital","Category":"Late Ship","Net_CB":122519},{"Channel":"Walmart","Category":"Unknown","Net_CB":121822},{"Channel":"Drug & Dollar","Category":"EDI/ASN","Net_CB":111800},{"Channel":"Grocery","Category":"Merch Return","Net_CB":111123},{"Channel":"Specialty","Category":"Shipping Prep","Net_CB":109091},{"Channel":"Target","Category":"EDI/ASN","Net_CB":88512},{"Channel":"Grocery","Category":"Defective","Net_CB":78085},{"Channel":"Specialty","Category":"Shortage","Net_CB":-73155},{"Channel":"Target","Category":"Late Ship","Net_CB":68367},{"Channel":"Specialty","Category":"Price Claim","Net_CB":64106},{"Channel":"Walmart","Category":"OTIF","Net_CB":61756},{"Channel":"Grocery","Category":"Shipping Prep","Net_CB":58781},{"Channel":"Walmart","Category":"Labeling","Net_CB":54429},{"Channel":"Digital","Category":"Price Claim","Net_CB":46839},{"Channel":"Drug & Dollar","Category":"Merch Return","Net_CB":46133},{"Channel":"Drug & Dollar","Category":"Price Claim","Net_CB":43857},{"Channel":"Target","Category":"Price Claim","Net_CB":30581},{"Channel":"Drug & Dollar","Category":"Fill Rate","Net_CB":29577},{"Channel":"Drug & Dollar","Category":"Late Ship","Net_CB":28681},{"Channel":"Club","Category":"Shipping Prep","Net_CB":26080},{"Channel":"Walmart","Category":"SQEP","Net_CB":25861},{"Channel":"Specialty","Category":"Fill Rate","Net_CB":24900},{"Channel":"Walmart","Category":"Damage","Net_CB":24251},{"Channel":"Drug & Dollar","Category":"Damage","Net_CB":22705},{"Channel":"Grocery","Category":"Price Claim","Net_CB":22494},{"Channel":"Walmart","Category":"Defective","Net_CB":19751},{"Channel":"Drug & Dollar","Category":"Audit","Net_CB":18829},{"Channel":"Club","Category":"Unknown","Net_CB":16992},{"Channel":"Drug & Dollar","Category":"Incorrect Paperwork","Net_CB":14200},{"Channel":"Drug & Dollar","Category":"Appointment","Net_CB":12775},{"Channel":"Target","Category":"Unknown","Net_CB":10839},{"Channel":"Grocery","Category":"Unloading Fees","Net_CB":10358},{"Channel":"Digital","Category":"Other","Net_CB":8608},{"Channel":"Digital","Category":"Merch Return","Net_CB":7959},{"Channel":"Other","Category":"Unknown","Net_CB":7868},{"Channel":"Digital","Category":"Unknown","Net_CB":-7839},{"Channel":"Grocery","Category":"EDI/ASN","Net_CB":3951},{"Channel":"Grocery","Category":"Other","Net_CB":3878},{"Channel":"Grocery","Category":"Fill Rate","Net_CB":3777},{"Channel":"Target","Category":"Defective","Net_CB":3505},{"Channel":"Grocery","Category":"Appointment","Net_CB":3500},{"Channel":"Walmart","Category":"Merch Return","Net_CB":3223},{"Channel":"Target","Category":"Damage","Net_CB":3069},{"Channel":"Digital","Category":"EDI/ASN","Net_CB":2980},{"Channel":"Grocery","Category":"Substitution","Net_CB":2164},{"Channel":"Drug & Dollar","Category":"Defective","Net_CB":1950},{"Channel":"Target","Category":"Shipping Prep","Net_CB":1669},{"Channel":"Grocery","Category":"Damage","Net_CB":1071}];        // {Channel,Category,Net_CB} \u2014 all years/brands summed

const MONTH_ORDER = ["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"];
const MI = Object.fromEntries(MONTH_ORDER.map((m,i)=>[m,i]));
const ALL_PERIODS = [
  ...MONTH_ORDER.map((m,i)=>({year:2025,month:m,mi:i,idx:i,   label:`2025-${m}`,qLabel:`2025 Q${Math.ceil((i+1)/3)}`,yLabel:"2025"})),
  ...["Jan","Feb","Mar","Apr","May"].map((m,i)=>({year:2026,month:m,mi:i,idx:12+i,label:`2026-${m}`,qLabel:"2026 Q1",yLabel:"2026"})),
];
const MIN_IDX = 0, MAX_IDX = ALL_PERIODS.length - 1;

const BLABEL  = {HF:"H&F", LM:"L&M"};
const BCOLORS = {HF:"#2563EB", LM:"#7C3AED"};
const BLIGHT  = {HF:"#DBEAFE", LM:"#EDE9FE"};
const CH_COLORS = {"Walmart":"#0071CE","Target":"#CC0000","Club":"#F59E0B","Grocery":"#10B981","Digital":"#6366F1","Drug & Dollar":"#EC4899","Specialty":"#8B5CF6","Other":"#9CA3AF"};
const ALL_CHANNELS = ["Walmart","Target","Club","Grocery","Digital","Drug & Dollar","Specialty"];
const ALL_CATS = ["Appointment", "Audit", "Damage", "Defective", "EDI/ASN", "Fill Rate", "Incorrect Paperwork", "Labeling", "Late Ship", "Merch Return", "OTIF", "Other", "Price Claim", "SQEP", "Shipping Prep", "Shortage", "Substitution", "Unknown", "Unloading Fees"];
const CAT_COLORS = {"Shortage": "#EF4444", "Unknown": "#6B7280", "Merch Return": "#F97316", "OTIF": "#EAB308", "Shipping Prep": "#06B6D4", "Fill Rate": "#8B5CF6", "Price Claim": "#EC4899", "Late Ship": "#F59E0B", "EDI/ASN": "#10B981", "Substitution": "#3B82F6", "Defective": "#84CC16", "Labeling": "#A78BFA", "Damage": "#FB923C", "SQEP": "#E11D48", "Audit": "#0EA5E9", "Appointment": "#D946EF", "Incorrect Paperwork": "#64748B", "Unloading Fees": "#78716C", "Other": "#9CA3AF"};

const RAW_RECOVERY_MONTHLY = [{"Brand": "H&F", "Year": 2025, "Month": "Apr", "Gross_CB": -1031862, "Reversals": 767815, "Net_CB": -264047, "Recovery_Rate": 74.41}, {"Brand": "H&F", "Year": 2025, "Month": "Aug", "Gross_CB": -3517728, "Reversals": 2926576, "Net_CB": -591152, "Recovery_Rate": 83.2}, {"Brand": "H&F", "Year": 2025, "Month": "Dec", "Gross_CB": -4213466, "Reversals": 3919233, "Net_CB": -294233, "Recovery_Rate": 93.02}, {"Brand": "H&F", "Year": 2025, "Month": "Feb", "Gross_CB": -1406141, "Reversals": 891125, "Net_CB": -515016, "Recovery_Rate": 63.37}, {"Brand": "H&F", "Year": 2025, "Month": "Jan", "Gross_CB": -1072408, "Reversals": 710986, "Net_CB": -361422, "Recovery_Rate": 66.3}, {"Brand": "H&F", "Year": 2025, "Month": "Jul", "Gross_CB": -913227, "Reversals": 687187, "Net_CB": -226040, "Recovery_Rate": 75.25}, {"Brand": "H&F", "Year": 2025, "Month": "Jun", "Gross_CB": -1211556, "Reversals": 666289, "Net_CB": -545267, "Recovery_Rate": 54.99}, {"Brand": "H&F", "Year": 2025, "Month": "Mar", "Gross_CB": -1206794, "Reversals": 983530, "Net_CB": -223264, "Recovery_Rate": 81.5}, {"Brand": "H&F", "Year": 2025, "Month": "May", "Gross_CB": -1187899, "Reversals": 570515, "Net_CB": -617384, "Recovery_Rate": 48.03}, {"Brand": "H&F", "Year": 2025, "Month": "Nov", "Gross_CB": -2009091, "Reversals": 831155, "Net_CB": -1177936, "Recovery_Rate": 41.37}, {"Brand": "H&F", "Year": 2025, "Month": "Oct", "Gross_CB": -2818965, "Reversals": 2554246, "Net_CB": -264719, "Recovery_Rate": 90.61}, {"Brand": "H&F", "Year": 2025, "Month": "Sep", "Gross_CB": -1963248, "Reversals": 2285870, "Net_CB": 322622, "Recovery_Rate": 116.43}, {"Brand": "H&F", "Year": 2026, "Month": "Apr", "Gross_CB": -6190367, "Reversals": 5708883, "Net_CB": -481484, "Recovery_Rate": 92.22}, {"Brand": "H&F", "Year": 2026, "Month": "Feb", "Gross_CB": -1833489, "Reversals": 1363450, "Net_CB": -470039, "Recovery_Rate": 74.36}, {"Brand": "H&F", "Year": 2026, "Month": "Jan", "Gross_CB": -4187557, "Reversals": 3487086, "Net_CB": -700471, "Recovery_Rate": 83.27}, {"Brand": "H&F", "Year": 2026, "Month": "Mar", "Gross_CB": -2137078, "Reversals": 1280255, "Net_CB": -856824, "Recovery_Rate": 59.91}, {"Brand": "H&F", "Year": 2026, "Month": "May", "Gross_CB": -1433454, "Reversals": 650665, "Net_CB": -782789, "Recovery_Rate": 45.39}, {"Brand": "L&M", "Year": 2025, "Month": "Apr", "Gross_CB": -408698, "Reversals": 117746, "Net_CB": -290952, "Recovery_Rate": 28.81}, {"Brand": "L&M", "Year": 2025, "Month": "Aug", "Gross_CB": -468364, "Reversals": 37943, "Net_CB": -430421, "Recovery_Rate": 8.1}, {"Brand": "L&M", "Year": 2025, "Month": "Dec", "Gross_CB": -224732, "Reversals": 89438, "Net_CB": -135293, "Recovery_Rate": 39.8}, {"Brand": "L&M", "Year": 2025, "Month": "Feb", "Gross_CB": -2230555, "Reversals": 2268432, "Net_CB": 37877, "Recovery_Rate": 101.7}, {"Brand": "L&M", "Year": 2025, "Month": "Jan", "Gross_CB": -88238, "Reversals": 117670, "Net_CB": 29432, "Recovery_Rate": 133.36}, {"Brand": "L&M", "Year": 2025, "Month": "Jul", "Gross_CB": -484527, "Reversals": 148880, "Net_CB": -335647, "Recovery_Rate": 30.73}, {"Brand": "L&M", "Year": 2025, "Month": "Jun", "Gross_CB": -1034219, "Reversals": 1042668, "Net_CB": 8449, "Recovery_Rate": 100.82}, {"Brand": "L&M", "Year": 2025, "Month": "Mar", "Gross_CB": -4114242, "Reversals": 3735973, "Net_CB": -378268, "Recovery_Rate": 90.81}, {"Brand": "L&M", "Year": 2025, "Month": "May", "Gross_CB": -494690, "Reversals": 22289, "Net_CB": -472400, "Recovery_Rate": 4.51}, {"Brand": "L&M", "Year": 2025, "Month": "Nov", "Gross_CB": -167364, "Reversals": 48632, "Net_CB": -118732, "Recovery_Rate": 29.06}, {"Brand": "L&M", "Year": 2025, "Month": "Oct", "Gross_CB": -222824, "Reversals": 304080, "Net_CB": 81256, "Recovery_Rate": 136.47}, {"Brand": "L&M", "Year": 2025, "Month": "Sep", "Gross_CB": -301409, "Reversals": 170002, "Net_CB": -131407, "Recovery_Rate": 56.4}, {"Brand": "L&M", "Year": 2026, "Month": "Apr", "Gross_CB": -145897, "Reversals": 73991, "Net_CB": -71906, "Recovery_Rate": 50.71}, {"Brand": "L&M", "Year": 2026, "Month": "Feb", "Gross_CB": -683287, "Reversals": 215105, "Net_CB": -468182, "Recovery_Rate": 31.48}, {"Brand": "L&M", "Year": 2026, "Month": "Jan", "Gross_CB": -202229, "Reversals": 22020, "Net_CB": -180210, "Recovery_Rate": 10.89}, {"Brand": "L&M", "Year": 2026, "Month": "Mar", "Gross_CB": -386418, "Reversals": 103854, "Net_CB": -282563, "Recovery_Rate": 26.88}, {"Brand": "L&M", "Year": 2026, "Month": "May", "Gross_CB": -245633, "Reversals": 56984, "Net_CB": -188649, "Recovery_Rate": 23.2}];
const RAW_RECOVERY_CAT = [{"Brand": "H&F", "Year": 2025, "Month": "Apr", "Category": "Defective", "Gross_CB": -4565, "Reversals": 99}, {"Brand": "H&F", "Year": 2025, "Month": "Apr", "Category": "EDI/ASN", "Gross_CB": -6146, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Apr", "Category": "Fill Rate", "Gross_CB": -1758, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Apr", "Category": "Late ship", "Gross_CB": -27400, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Apr", "Category": "Merch Return", "Gross_CB": -76984, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Apr", "Category": "OTIF", "Gross_CB": -5712, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Apr", "Category": "Price Claim", "Gross_CB": -4709, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Apr", "Category": "Shipping Prep", "Gross_CB": -29257, "Reversals": 900}, {"Brand": "H&F", "Year": 2025, "Month": "Apr", "Category": "Shortage", "Gross_CB": -732092, "Reversals": 714480}, {"Brand": "H&F", "Year": 2025, "Month": "Apr", "Category": "Subsitution", "Gross_CB": -6375, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Apr", "Category": "Unknown", "Gross_CB": -136864, "Reversals": 52336}, {"Brand": "H&F", "Year": 2025, "Month": "Aug", "Category": "A&D", "Gross_CB": -3069, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Aug", "Category": "Defective", "Gross_CB": -3926, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Aug", "Category": "EDI/ASN", "Gross_CB": -15216, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Aug", "Category": "Fill Rate", "Gross_CB": -387, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Aug", "Category": "Late ship", "Gross_CB": -17440, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Aug", "Category": "Merch Return", "Gross_CB": -69498, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Aug", "Category": "OTIF", "Gross_CB": -15797, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Aug", "Category": "Price Claim", "Gross_CB": -4915, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Aug", "Category": "Shipping Prep", "Gross_CB": -52627, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Aug", "Category": "Shortage", "Gross_CB": -889951, "Reversals": 564065}, {"Brand": "H&F", "Year": 2025, "Month": "Aug", "Category": "Subsitution", "Gross_CB": -10682, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Aug", "Category": "Unknown", "Gross_CB": -2434220, "Reversals": 2362511}, {"Brand": "H&F", "Year": 2025, "Month": "Dec", "Category": "Defective", "Gross_CB": -35342, "Reversals": 29162}, {"Brand": "H&F", "Year": 2025, "Month": "Dec", "Category": "EDI/ASN", "Gross_CB": -821, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Dec", "Category": "Fill Rate", "Gross_CB": -72773, "Reversals": 5033}, {"Brand": "H&F", "Year": 2025, "Month": "Dec", "Category": "Late ship", "Gross_CB": -21629, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Dec", "Category": "Merch Return", "Gross_CB": -43041, "Reversals": 106850}, {"Brand": "H&F", "Year": 2025, "Month": "Dec", "Category": "OTIF", "Gross_CB": -18973, "Reversals": 617}, {"Brand": "H&F", "Year": 2025, "Month": "Dec", "Category": "Price Claim", "Gross_CB": -8864, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Dec", "Category": "Shipping Prep", "Gross_CB": -134095, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Dec", "Category": "Shortage", "Gross_CB": -1653475, "Reversals": 1676517}, {"Brand": "H&F", "Year": 2025, "Month": "Dec", "Category": "Unknown", "Gross_CB": -2224453, "Reversals": 2101054}, {"Brand": "H&F", "Year": 2025, "Month": "Feb", "Category": "Defective", "Gross_CB": -8053, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Feb", "Category": "EDI/ASN", "Gross_CB": -2275, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Feb", "Category": "Fill Rate", "Gross_CB": -3655, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Feb", "Category": "Late ship", "Gross_CB": -67177, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Feb", "Category": "Merch Return", "Gross_CB": -81418, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Feb", "Category": "OTIF", "Gross_CB": -22322, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Feb", "Category": "Price Claim", "Gross_CB": -8793, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Feb", "Category": "Shipping Prep", "Gross_CB": -12841, "Reversals": 7054}, {"Brand": "H&F", "Year": 2025, "Month": "Feb", "Category": "Shortage", "Gross_CB": -526397, "Reversals": 293165}, {"Brand": "H&F", "Year": 2025, "Month": "Feb", "Category": "Subsitution", "Gross_CB": -5394, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Feb", "Category": "Unknown", "Gross_CB": -667816, "Reversals": 590906}, {"Brand": "H&F", "Year": 2025, "Month": "Jan", "Category": "Defective", "Gross_CB": -9588, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Jan", "Category": "EDI/ASN", "Gross_CB": -10, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Jan", "Category": "Fill Rate", "Gross_CB": -4637, "Reversals": 3253}, {"Brand": "H&F", "Year": 2025, "Month": "Jan", "Category": "Late ship", "Gross_CB": -13664, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Jan", "Category": "Merch Return", "Gross_CB": -65922, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Jan", "Category": "OTIF", "Gross_CB": -9598, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Jan", "Category": "Price Claim", "Gross_CB": -33735, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Jan", "Category": "Shipping Prep", "Gross_CB": -29258, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Jan", "Category": "Shortage", "Gross_CB": -753944, "Reversals": 628662}, {"Brand": "H&F", "Year": 2025, "Month": "Jan", "Category": "Subsitution", "Gross_CB": -6570, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Jan", "Category": "Unknown", "Gross_CB": -145482, "Reversals": 79071}, {"Brand": "H&F", "Year": 2025, "Month": "Jul", "Category": "Defective", "Gross_CB": -2921, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Jul", "Category": "EDI/ASN", "Gross_CB": -5660, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Jul", "Category": "Fill Rate", "Gross_CB": -1271, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Jul", "Category": "Late ship", "Gross_CB": -2024, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Jul", "Category": "Merch Return", "Gross_CB": -101465, "Reversals": 31}, {"Brand": "H&F", "Year": 2025, "Month": "Jul", "Category": "OTIF", "Gross_CB": -43989, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Jul", "Category": "Price Claim", "Gross_CB": -52162, "Reversals": 0}, {"Brand": "H&F", "Year": 2025, "Month": "Jul", "Category": "Shipping Prep", "Gross_CB": -17857, "Reversals": 0}, {"Brand": "H&F", "Year": 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const RAW_RECOVERY_CUST = [{"Brand": "H&F", "Year": 2025, "Customer": "Albertsons", "Gross_CB": -146972, "Reversals": 35036, "Net_CB": -111936, "Recovery_Rate": 23.84}, {"Brand": "H&F", "Year": 2025, "Customer": "Amazon", "Gross_CB": -16472031, "Reversals": 15800980, "Net_CB": -671051, "Recovery_Rate": 95.93}, {"Brand": "H&F", "Year": 2025, "Customer": "BJ's", "Gross_CB": -13280, "Reversals": 0, "Net_CB": -13280, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2025, "Customer": "Burlington", "Gross_CB": -8418, "Reversals": 0, "Net_CB": -8418, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2025, "Customer": "C&S", "Gross_CB": -220431, "Reversals": 43841, "Net_CB": -176590, "Recovery_Rate": 19.89}, {"Brand": "H&F", "Year": 2025, "Customer": "CVS", "Gross_CB": -660569, "Reversals": 477049, "Net_CB": -183520, "Recovery_Rate": 72.22}, {"Brand": "H&F", "Year": 2025, "Customer": "Costco", "Gross_CB": -651890, "Reversals": 5464, "Net_CB": -646426, "Recovery_Rate": 0.84}, {"Brand": "H&F", "Year": 2025, "Customer": "Crossmark", "Gross_CB": -61730, "Reversals": 5075, "Net_CB": -56655, "Recovery_Rate": 8.22}, {"Brand": "H&F", "Year": 2025, "Customer": "Dollar General", "Gross_CB": -93959, "Reversals": 56348, "Net_CB": -37611, "Recovery_Rate": 59.97}, {"Brand": "H&F", "Year": 2025, "Customer": "Food Lion", "Gross_CB": -17435, "Reversals": 0, "Net_CB": -17435, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2025, "Customer": "Giant Eagle, Inc.", "Gross_CB": -2807, "Reversals": 0, "Net_CB": -2807, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2025, "Customer": "Gopuff", "Gross_CB": -14179, "Reversals": 0, "Net_CB": -14179, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2025, "Customer": "H-E-B", "Gross_CB": -20464, "Reversals": 252, "Net_CB": -20212, "Recovery_Rate": 1.23}, {"Brand": "H&F", "Year": 2025, "Customer": "Hannaford", "Gross_CB": -19125, "Reversals": 0, "Net_CB": -19125, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2025, "Customer": "Harris Teeter", "Gross_CB": -41098, "Reversals": 0, "Net_CB": -41098, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2025, "Customer": "Hy-Vee", "Gross_CB": -36939, "Reversals": 200, "Net_CB": -36739, "Recovery_Rate": 0.54}, {"Brand": "H&F", "Year": 2025, "Customer": "Jean Coutu", "Gross_CB": -30639, "Reversals": 54, "Net_CB": -30585, "Recovery_Rate": 0.18}, {"Brand": "H&F", "Year": 2025, "Customer": "KOHLS", "Gross_CB": -233078, "Reversals": 197917, "Net_CB": -35161, "Recovery_Rate": 84.91}, {"Brand": "H&F", "Year": 2025, "Customer": "Kroger", "Gross_CB": -390320, "Reversals": 30502, "Net_CB": -359818, "Recovery_Rate": 7.81}, {"Brand": "H&F", "Year": 2025, "Customer": "Kroger.com", "Gross_CB": -6689, "Reversals": 0, "Net_CB": -6689, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2025, "Customer": "Loblaws", "Gross_CB": -19507, "Reversals": 2078, "Net_CB": -17429, "Recovery_Rate": 10.65}, {"Brand": "H&F", "Year": 2025, "Customer": "London Drugs Limited", "Gross_CB": -3041, "Reversals": 0, "Net_CB": -3041, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2025, "Customer": "Meijer", "Gross_CB": -281720, "Reversals": 86299, "Net_CB": -195421, "Recovery_Rate": 30.63}, {"Brand": "H&F", "Year": 2025, "Customer": "Metro Ontario", "Gross_CB": -5164, "Reversals": 790, "Net_CB": -4374, "Recovery_Rate": 15.3}, {"Brand": "H&F", "Year": 2025, "Customer": "Military Resale Solutions", "Gross_CB": -14807, "Reversals": 1822, "Net_CB": -12985, "Recovery_Rate": 12.3}, {"Brand": "H&F", "Year": 2025, "Customer": "Navajo Inc.", "Gross_CB": -108, "Reversals": 0, "Net_CB": -108, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2025, "Customer": "Pattern", "Gross_CB": -1172, "Reversals": 0, "Net_CB": -1172, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2025, "Customer": "Publix", "Gross_CB": -198986, "Reversals": 184, "Net_CB": -198802, "Recovery_Rate": 0.09}, {"Brand": "H&F", "Year": 2025, "Customer": "Rite Aid", "Gross_CB": -9066, "Reversals": 0, "Net_CB": -9066, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2025, "Customer": "Ross Stores", "Gross_CB": -536, "Reversals": 0, "Net_CB": -536, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2025, "Customer": "Save on Foods", "Gross_CB": -6319, "Reversals": 0, "Net_CB": -6319, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2025, "Customer": "Shoppers Drug Mart Inc.", "Gross_CB": -133708, "Reversals": 14271, "Net_CB": -119437, "Recovery_Rate": 10.67}, {"Brand": "H&F", "Year": 2025, "Customer": "Sobeys", "Gross_CB": -2136, "Reversals": 75, "Net_CB": -2061, "Recovery_Rate": 3.51}, {"Brand": "H&F", "Year": 2025, "Customer": "SpartanNash Company", "Gross_CB": -5466, "Reversals": 47, "Net_CB": -5419, "Recovery_Rate": 0.86}, {"Brand": "H&F", "Year": 2025, "Customer": "TJX", "Gross_CB": -82819, "Reversals": 900, "Net_CB": -81919, "Recovery_Rate": 1.09}, {"Brand": "H&F", "Year": 2025, "Customer": "Target", "Gross_CB": -662103, "Reversals": 588307, "Net_CB": -73796, "Recovery_Rate": 88.85}, {"Brand": "H&F", "Year": 2025, "Customer": "Urban Outfitters", "Gross_CB": -1425, "Reversals": 0, "Net_CB": -1425, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2025, "Customer": "Vanguard Packaging LLC", "Gross_CB": -2181, "Reversals": 0, "Net_CB": -2181, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2025, "Customer": "Wakefern", "Gross_CB": -17200, "Reversals": 3358, "Net_CB": -13842, "Recovery_Rate": 19.52}, {"Brand": "H&F", "Year": 2025, "Customer": "Walgreens", "Gross_CB": -365209, "Reversals": 205593, "Net_CB": -159616, "Recovery_Rate": 56.29}, {"Brand": "H&F", "Year": 2025, "Customer": "Walmart", "Gross_CB": -1388372, "Reversals": 214095, "Net_CB": -1174277, "Recovery_Rate": 15.42}, {"Brand": "H&F", "Year": 2025, "Customer": "Walmart Canada", "Gross_CB": -176362, "Reversals": 2389, "Net_CB": -173973, "Recovery_Rate": 1.35}, {"Brand": "H&F", "Year": 2025, "Customer": "Wegmans", "Gross_CB": -15161, "Reversals": 402, "Net_CB": -14759, "Recovery_Rate": 2.65}, {"Brand": "H&F", "Year": 2025, "Customer": "WinCo", "Gross_CB": -17764, "Reversals": 21199, "Net_CB": 3435, "Recovery_Rate": 119.34}, {"Brand": "H&F", "Year": 2026, "Customer": "Albertsons", "Gross_CB": -131485, "Reversals": 6223, "Net_CB": -125262, "Recovery_Rate": 4.73}, {"Brand": "H&F", "Year": 2026, "Customer": "Amazon", "Gross_CB": -12071262, "Reversals": 11575038, "Net_CB": -496225, "Recovery_Rate": 95.89}, {"Brand": "H&F", "Year": 2026, "Customer": "BJ's", "Gross_CB": -10080, "Reversals": 0, "Net_CB": -10080, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2026, "Customer": "C&S", "Gross_CB": -62334, "Reversals": 13673, "Net_CB": -48661, "Recovery_Rate": 21.93}, {"Brand": "H&F", "Year": 2026, "Customer": "CVS", "Gross_CB": -409687, "Reversals": 100575, "Net_CB": -309113, "Recovery_Rate": 24.55}, {"Brand": "H&F", "Year": 2026, "Customer": "Costco", "Gross_CB": -388864, "Reversals": 60, "Net_CB": -388804, "Recovery_Rate": 0.02}, {"Brand": "H&F", "Year": 2026, "Customer": "Crossmark", "Gross_CB": -102342, "Reversals": 703, "Net_CB": -101639, "Recovery_Rate": 0.69}, {"Brand": "H&F", "Year": 2026, "Customer": "Dollar General", "Gross_CB": -177241, "Reversals": 36107, "Net_CB": -141134, "Recovery_Rate": 20.37}, {"Brand": "H&F", "Year": 2026, "Customer": "Food Lion", "Gross_CB": -6394, "Reversals": 0, "Net_CB": -6394, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2026, "Customer": "Giant Eagle, Inc.", "Gross_CB": -1970, "Reversals": 0, "Net_CB": -1970, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2026, "Customer": "Gopuff", "Gross_CB": -950, "Reversals": 0, "Net_CB": -950, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2026, "Customer": "H-E-B", "Gross_CB": -42996, "Reversals": 5, "Net_CB": -42990, "Recovery_Rate": 0.01}, {"Brand": "H&F", "Year": 2026, "Customer": "Hannaford", "Gross_CB": -14178, "Reversals": 252, "Net_CB": -13926, "Recovery_Rate": 1.77}, {"Brand": "H&F", "Year": 2026, "Customer": "Harris Teeter", "Gross_CB": -11353, "Reversals": 91, "Net_CB": -11263, "Recovery_Rate": 0.8}, {"Brand": "H&F", "Year": 2026, "Customer": "Highstock Inc.", "Gross_CB": -4596, "Reversals": 0, "Net_CB": -4596, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2026, "Customer": "Hy-Vee", "Gross_CB": -1391, "Reversals": 203, "Net_CB": -1188, "Recovery_Rate": 14.61}, {"Brand": "H&F", "Year": 2026, "Customer": "Jean Coutu", "Gross_CB": -40415, "Reversals": 2362, "Net_CB": -38053, "Recovery_Rate": 5.84}, {"Brand": "H&F", "Year": 2026, "Customer": "KOHLS", "Gross_CB": -59129, "Reversals": 287, "Net_CB": -58842, "Recovery_Rate": 0.49}, {"Brand": "H&F", "Year": 2026, "Customer": "Kroger", "Gross_CB": -231738, "Reversals": 0, "Net_CB": -231738, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2026, "Customer": "Loblaws", "Gross_CB": -387, "Reversals": 0, "Net_CB": -387, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2026, "Customer": "London Drugs Limited", "Gross_CB": -3295, "Reversals": 0, "Net_CB": -3295, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2026, "Customer": "Meijer", "Gross_CB": -128232, "Reversals": 123124, "Net_CB": -5108, "Recovery_Rate": 96.02}, {"Brand": "H&F", "Year": 2026, "Customer": "Menard", "Gross_CB": -4335, "Reversals": 25, "Net_CB": -4310, "Recovery_Rate": 0.58}, {"Brand": "H&F", "Year": 2026, "Customer": "Metro Ontario", "Gross_CB": -1860, "Reversals": 0, "Net_CB": -1860, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2026, "Customer": "Military Resale Solutions", "Gross_CB": -4673, "Reversals": 0, "Net_CB": -4673, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2026, "Customer": "Publix", "Gross_CB": -35073, "Reversals": 0, "Net_CB": -35073, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2026, "Customer": "Save on Foods", "Gross_CB": -13384, "Reversals": 0, "Net_CB": -13384, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2026, "Customer": "Shoppers Drug Mart Inc.", "Gross_CB": -145187, "Reversals": 0, "Net_CB": -145187, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2026, "Customer": "Sobeys", "Gross_CB": -3227, "Reversals": 59, "Net_CB": -3168, "Recovery_Rate": 1.82}, {"Brand": "H&F", "Year": 2026, "Customer": "SpartanNash Company", "Gross_CB": -953, "Reversals": 0, "Net_CB": -953, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2026, "Customer": "TJX", "Gross_CB": -51239, "Reversals": 0, "Net_CB": -51239, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2026, "Customer": "Target", "Gross_CB": -697308, "Reversals": 169312, "Net_CB": -527996, "Recovery_Rate": 24.28}, {"Brand": "H&F", "Year": 2026, "Customer": "Wakefern", "Gross_CB": -7668, "Reversals": 0, "Net_CB": -7668, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2026, "Customer": "Walgreens", "Gross_CB": -133072, "Reversals": 18922, "Net_CB": -114149, "Recovery_Rate": 14.22}, {"Brand": "H&F", "Year": 2026, "Customer": "Walmart", "Gross_CB": -631635, "Reversals": 442891, "Net_CB": -188744, "Recovery_Rate": 70.12}, {"Brand": "H&F", "Year": 2026, "Customer": "Walmart Canada", "Gross_CB": -145511, "Reversals": 427, "Net_CB": -145084, "Recovery_Rate": 0.29}, {"Brand": "H&F", "Year": 2026, "Customer": "Wegmans", "Gross_CB": -1571, "Reversals": 0, "Net_CB": -1571, "Recovery_Rate": 0.0}, {"Brand": "H&F", "Year": 2026, "Customer": "WinCo", "Gross_CB": -4930, "Reversals": 0, "Net_CB": -4930, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2025, "Customer": "Albertsons", "Gross_CB": -39807, "Reversals": 1129, "Net_CB": -38678, "Recovery_Rate": 2.84}, {"Brand": "L&M", "Year": 2025, "Customer": "BJ's", "Gross_CB": -23314, "Reversals": 6909, "Net_CB": -16405, "Recovery_Rate": 29.63}, {"Brand": "L&M", "Year": 2025, "Customer": "C&S", "Gross_CB": -25959, "Reversals": 0, "Net_CB": -25959, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2025, "Customer": "CVS", "Gross_CB": -244139, "Reversals": 98052, "Net_CB": -146087, "Recovery_Rate": 40.16}, {"Brand": "L&M", "Year": 2025, "Customer": "Costco", "Gross_CB": -104741, "Reversals": 0, "Net_CB": -104741, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2025, "Customer": "H-E-B", "Gross_CB": -52279, "Reversals": 47843, "Net_CB": -4437, "Recovery_Rate": 91.51}, {"Brand": "L&M", "Year": 2025, "Customer": "Harris Teeter", "Gross_CB": -3050, "Reversals": 0, "Net_CB": -3050, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2025, "Customer": "KeHe", "Gross_CB": -55728, "Reversals": 1867, "Net_CB": -53861, "Recovery_Rate": 3.35}, {"Brand": "L&M", "Year": 2025, "Customer": "Kroger", "Gross_CB": -212140, "Reversals": 15577, "Net_CB": -196563, "Recovery_Rate": 7.34}, {"Brand": "L&M", "Year": 2025, "Customer": "Meijer", "Gross_CB": -334056, "Reversals": 297629, "Net_CB": -36427, "Recovery_Rate": 89.1}, {"Brand": "L&M", "Year": 2025, "Customer": "Military Resale Solutions", "Gross_CB": -122, "Reversals": 0, "Net_CB": -122, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2025, "Customer": "None", "Gross_CB": -1915, "Reversals": 0, "Net_CB": -1915, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2025, "Customer": "Sam's Club", "Gross_CB": -1236594, "Reversals": 812342, "Net_CB": -424252, "Recovery_Rate": 65.69}, {"Brand": "L&M", "Year": 2025, "Customer": "Spartan Nash", "Gross_CB": -538, "Reversals": 0, "Net_CB": -538, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2025, "Customer": "SpartanNash", "Gross_CB": -100, "Reversals": 0, "Net_CB": -100, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2025, "Customer": "Target", "Gross_CB": -440893, "Reversals": 723646, "Net_CB": 282753, "Recovery_Rate": 164.13}, {"Brand": "L&M", "Year": 2025, "Customer": "Ulta", "Gross_CB": -218141, "Reversals": 0, "Net_CB": -218141, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2025, "Customer": "Vanguard Packaging LLC", "Gross_CB": -1091, "Reversals": 0, "Net_CB": -1091, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2025, "Customer": "Wakefern", "Gross_CB": -1137, "Reversals": 0, "Net_CB": -1137, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2025, "Customer": "Walgreens", "Gross_CB": -87564, "Reversals": 18968, "Net_CB": -68596, "Recovery_Rate": 21.66}, {"Brand": "L&M", "Year": 2025, "Customer": "Walmart", "Gross_CB": -7133317, "Reversals": 6078303, "Net_CB": -1055014, "Recovery_Rate": 85.21}, {"Brand": "L&M", "Year": 2025, "Customer": "Walmart Canada", "Gross_CB": -18582, "Reversals": 0, "Net_CB": -18582, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2025, "Customer": "Wegmans", "Gross_CB": -4652, "Reversals": 1490, "Net_CB": -3163, "Recovery_Rate": 32.02}, {"Brand": "L&M", "Year": 2026, "Customer": "Albertsons", "Gross_CB": -26437, "Reversals": 2141, "Net_CB": -24296, "Recovery_Rate": 8.1}, {"Brand": "L&M", "Year": 2026, "Customer": "BJ's", "Gross_CB": -200, "Reversals": 0, "Net_CB": -200, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2026, "Customer": "C&S", "Gross_CB": -19518, "Reversals": 0, "Net_CB": -19518, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2026, "Customer": "CVS", "Gross_CB": -104535, "Reversals": 24070, "Net_CB": -80465, "Recovery_Rate": 23.03}, {"Brand": "L&M", "Year": 2026, "Customer": "Costco", "Gross_CB": -72440, "Reversals": 0, "Net_CB": -72440, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2026, "Customer": "Crossmark", "Gross_CB": -24400, "Reversals": 0, "Net_CB": -24400, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2026, "Customer": "H-E-B", "Gross_CB": -1528, "Reversals": 12, "Net_CB": -1515, "Recovery_Rate": 0.8}, {"Brand": "L&M", "Year": 2026, "Customer": "Harris Teeter", "Gross_CB": -28840, "Reversals": 0, "Net_CB": -28840, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2026, "Customer": "Hy-Vee", "Gross_CB": -238, "Reversals": 487, "Net_CB": 249, "Recovery_Rate": 204.64}, {"Brand": "L&M", "Year": 2026, "Customer": "KeHe", "Gross_CB": -9073, "Reversals": 0, "Net_CB": -9073, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2026, "Customer": "Kroger", "Gross_CB": -124672, "Reversals": 24609, "Net_CB": -100063, "Recovery_Rate": 19.74}, {"Brand": "L&M", "Year": 2026, "Customer": "Meijer", "Gross_CB": -18920, "Reversals": 0, "Net_CB": -18920, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2026, "Customer": "Sam's Club", "Gross_CB": -61020, "Reversals": 170215, "Net_CB": 109194, "Recovery_Rate": 278.95}, {"Brand": "L&M", "Year": 2026, "Customer": "Spartan Nash", "Gross_CB": -363, "Reversals": 0, "Net_CB": -363, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2026, "Customer": "TJX", "Gross_CB": -63921, "Reversals": 61545, "Net_CB": -2376, "Recovery_Rate": 96.28}, {"Brand": "L&M", "Year": 2026, "Customer": "Target", "Gross_CB": -627560, "Reversals": 39174, "Net_CB": -588386, "Recovery_Rate": 6.24}, {"Brand": "L&M", "Year": 2026, "Customer": "Ulta", "Gross_CB": -75300, "Reversals": 0, "Net_CB": -75300, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2026, "Customer": "Wakefern", "Gross_CB": -4584, "Reversals": 0, "Net_CB": -4584, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2026, "Customer": "Walgreens", "Gross_CB": -48640, "Reversals": 0, "Net_CB": -48640, "Recovery_Rate": 0.0}, {"Brand": "L&M", "Year": 2026, "Customer": "Walmart", "Gross_CB": -293991, "Reversals": 145953, "Net_CB": -148038, "Recovery_Rate": 49.65}, {"Brand": "L&M", "Year": 2026, "Customer": "Walmart Canada", "Gross_CB": -55708, "Reversals": 3747, "Net_CB": -51962, "Recovery_Rate": 6.73}, {"Brand": "L&M", "Year": 2026, "Customer": "Wegmans", "Gross_CB": -1576, "Reversals": 0, "Net_CB": -1576, "Recovery_Rate": 0.0}];

const fmt$ = v => { if(v==null) return "\u2014"; const s=v<0?"-":""; const a=Math.abs(v); if(a>=1e6) return `${s}$${(a/1e6).toFixed(2)}M`; if(a>=1000) return `${s}$${Math.round(a/1000)}K`; return `${s}$${Math.round(a)}`; };
const fmtP = v => v==null ? "\u2014" : `${v.toFixed(2)}%`;

function periodInRange(year, month, lo, hi) {
  const p = ALL_PERIODS.find(p=>p.year===year&&p.month===month);
  return p!=null && p.idx>=lo && p.idx<=hi;
}
function bucketKey(p, gran) {
  return gran==="month" ? p.label : gran==="quarter" ? p.qLabel : p.yLabel;
}

// Mutable theme object - Dashboard writes to this before each render
const T = {
  bg:"#F9FAFB", card:"#fff", border:"#E5E7EB", border2:"#D1D5DB",
  text1:"#111827", text2:"#6B7280", text3:"#374151",
  muted:"#9CA3AF", rowAlt:"#FAFAFA", rowBase:"#fff",
  tabActive:"#fff", tabInactive:"#F9FAFB", tabBorder:"#E5E7EB",
  input:"#fff", inputBorder:"#D1D5DB",
};
let _dark = false;

function RangeSlider({lo, hi, setLo, setHi}) {
  const trackRef = useRef(null);
  const pct = v => (v - MIN_IDX) / (MAX_IDX - MIN_IDX) * 100;
  function drag(which, e) {
    e.preventDefault();
    const track = trackRef.current;
    function move(ev) {
      const cx = ev.touches ? ev.touches[0].clientX : ev.clientX;
      const {left, width} = track.getBoundingClientRect();
      const v = Math.max(MIN_IDX, Math.min(MAX_IDX, Math.round((cx - left) / width * (MAX_IDX - MIN_IDX))));
      if (which==="lo") setLo(Math.min(v, hi));
      else              setHi(Math.max(v, lo));
    }
    function up() {
      window.removeEventListener("mousemove", move);
      window.removeEventListener("mouseup", up);
      window.removeEventListener("touchmove", move);
      window.removeEventListener("touchend", up);
    }
    window.addEventListener("mousemove", move);
    window.addEventListener("mouseup", up);
    window.addEventListener("touchmove", move, {passive:false});
    window.addEventListener("touchend", up);
  }
  const loP = pct(lo), hiP = pct(hi);
  return (
    <div style={{position:"relative",height:36,display:"flex",alignItems:"center",userSelect:"none"}}>
      <div ref={trackRef} style={{position:"relative",width:"100%",height:6,background:T.border,borderRadius:3}}>
        <div style={{position:"absolute",left:`${loP}%`,width:`${hiP-loP}%`,height:"100%",background:"#2563EB",borderRadius:3}}/>
        <div onMouseDown={e=>drag("lo",e)} onTouchStart={e=>drag("lo",e)}
          style={{position:"absolute",left:`${loP}%`,top:"50%",transform:"translate(-50%,-50%)",width:18,height:18,borderRadius:"50%",background:T.card,border:"2.5px solid #2563EB",cursor:"grab",boxShadow:"0 1px 4px rgba(0,0,0,.18)",zIndex:2}}/>
        <div onMouseDown={e=>drag("hi",e)} onTouchStart={e=>drag("hi",e)}
          style={{position:"absolute",left:`${hiP}%`,top:"50%",transform:"translate(-50%,-50%)",width:18,height:18,borderRadius:"50%",background:T.card,border:"2.5px solid #2563EB",cursor:"grab",boxShadow:"0 1px 4px rgba(0,0,0,.18)",zIndex:2}}/>
      </div>
    </div>
  );
}

function KPI({label,value,sub,delta,hi}) {
  const up = delta>0;
  return (
    <div style={{background:hi==="red"?(_dark?"#450a0a":"#FEF2F2"):hi==="green"?(_dark?"#052e16":"#F0FDF4"):T.card,border:`1px solid ${T.border}`,borderRadius:10,padding:"13px 17px",minWidth:148}}>
      <div style={{fontSize:10,fontWeight:700,color:T.text2,textTransform:"uppercase",letterSpacing:"0.07em",marginBottom:3}}>{label}</div>
      <div style={{fontSize:20,fontWeight:800,color:T.text1,lineHeight:1.2}}>{value}</div>
      {sub && <div style={{fontSize:11,color:T.text2,marginTop:2}}>{sub}</div>}
      {delta!==undefined && <div style={{fontSize:11,fontWeight:700,color:up?"#DC2626":"#16A34A",marginTop:4}}>{up?"\u25b2":"\u25bc"} {Math.abs(delta).toFixed(1)}% vs prior yr</div>}
    </div>
  );
}
const Pill = ({active,onClick,label,color}) => (
  <button onClick={onClick} style={{padding:"4px 11px",borderRadius:20,fontSize:11,fontWeight:600,cursor:"pointer",border:"1.5px solid",borderColor:active?(color||"#2563EB"):T.border2,background:active?(color||"#2563EB"):T.card,color:active?"#fff":T.text3,whiteSpace:"nowrap"}}>{label}</button>
);
const TabBtn = ({active,onClick,label}) => (
  <button onClick={onClick} style={{padding:"7px 16px",borderRadius:"8px 8px 0 0",fontSize:13,fontWeight:600,cursor:"pointer",border:"1.5px solid",borderBottom:active?`2px solid ${T.tabActive}`:"1.5px solid #E5E7EB",background:active?T.tabActive:T.tabInactive,color:active?"#2563EB":T.text2,marginRight:2,whiteSpace:"nowrap"}}>{label}</button>
);
const Lbl = ({children,style={}}) => <div style={{fontSize:13,fontWeight:700,color:T.text3,marginBottom:10,...style}}>{children}</div>;
const MetricToggle = ({metric,setMetric}) => (
  <div style={{display:"flex",gap:4,alignItems:"center"}}>
    <span style={{fontSize:11,fontWeight:700,color:T.text2}}>VIEW</span>
    <Pill active={metric==="$"} onClick={()=>setMetric("$")} label="$ Amount"/>
    <Pill active={metric==="%"} onClick={()=>setMetric("%")} label="% of GR"/>
  </div>
);

function TrendChart({data, metric, hideHF, hideLM, height=250, gran}) {
  const dotR = gran==="month" ? 3 : 5;
  return (
    <ResponsiveContainer width="100%" height={height}>
      {metric==="$"
        ? <LineChart data={data} margin={{top:4,right:12,left:4,bottom:4}}>
            <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
            <XAxis dataKey="bKey" tick={{fontSize:10,fill:"#6B7280"}} angle={-25} textAnchor="end" height={45}/>
            <YAxis tickFormatter={fmt$} tick={{fontSize:10}} width={70}/>
            <Tooltip formatter={(v,n)=>[fmt$(v),n]}/>
            <Legend wrapperStyle={{fontSize:12}}/>
            <ReferenceLine y={0} stroke="#9CA3AF"/>
            <Line type="monotone" dataKey="Net_CB_HF" name="H&F" stroke={BCOLORS.HF} strokeWidth={2} dot={{r:dotR}} connectNulls hide={hideHF}/>
            <Line type="monotone" dataKey="Net_CB_LM" name="L&M" stroke={BCOLORS.LM} strokeWidth={2} dot={{r:dotR}} connectNulls hide={hideLM}/>
          </LineChart>
        : <LineChart data={data} margin={{top:4,right:12,left:4,bottom:4}}>
            <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
            <XAxis dataKey="bKey" tick={{fontSize:10,fill:"#6B7280"}} angle={-25} textAnchor="end" height={45}/>
            <YAxis tickFormatter={v=>v!=null?`${v.toFixed(1)}%`:"\u2014"} tick={{fontSize:10}} width={52}/>
            <Tooltip formatter={(v,n)=>[v!=null?`${v.toFixed(2)}%`:"\u2014",n]}/>
            <Legend wrapperStyle={{fontSize:12}}/>
            <ReferenceLine y={0} stroke="#9CA3AF"/>
            <Line type="monotone" dataKey="Pct_HF" name="H&F % GR" stroke={BCOLORS.HF} strokeWidth={2} dot={{r:dotR}} connectNulls hide={hideHF}/>
            <Line type="monotone" dataKey="Pct_LM" name="L&M % GR" stroke={BCOLORS.LM} strokeWidth={2} dot={{r:dotR}} connectNulls hide={hideLM}/>
          </LineChart>
      }
    </ResponsiveContainer>
  );
}

function AskAI({rawMonthly,rawCustomer,rawChannel,rawCatMonthly,rawCatCust,rawCatCh}) {
  const [messages, setMessages] = useState([]);
  const [input, setInput] = useState("");
  const [loading, setLoading] = useState(false);
  const bottomRef = useRef(null);

  const SUGGESTIONS = [
    "Which customer has the highest CB % of revenue?",
    "What is H&F's top chargeback category?",
    "Compare H&F vs L&M chargeback rates in 2025 vs 2026 YTD.",
    "Which channel drives the most chargebacks?",
  ];

  const scrollToBottom = () => { if(bottomRef.current) bottomRef.current.scrollIntoView({behavior:"smooth"}); };

  const send = async (text) => {
    const q = (text || input).trim();
    if(!q || loading) return;
    setInput("");
    const userMsg = {role:"user", content:q};
    const newMsgs = [...messages, userMsg];
    setMessages(newMsgs);
    setLoading(true);
    setTimeout(scrollToBottom, 50);

    const systemPrompt = `You are a supply chain analytics assistant for Mammoth Care (MCR).
H&F = Harry's Grooming (brand code HF). L&M = Lume/Mando (brand code LM).
FY2025 = full year Jan-Dec 2025. FY2026 YTD = Jan-May 2026.
Answer concisely with specific figures pulled from the data provided.

RAW_MONTHLY (brand+month totals): ${JSON.stringify(rawMonthly)}
RAW_CUSTOMER (annual by customer): ${JSON.stringify(rawCustomer)}
RAW_CHANNEL (annual by channel): ${JSON.stringify(rawChannel)}
RAW_CAT_MONTHLY (monthly by category): ${JSON.stringify(rawCatMonthly)}
RAW_CAT_CUST (annual by customer+category): ${JSON.stringify(rawCatCust)}
RAW_CAT_CH (all-period by channel+category): ${JSON.stringify(rawCatCh)}`;

    try {
      const res = await fetch("https://api.anthropic.com/v1/messages", {
        method:"POST",
        headers:{"Content-Type":"application/json"},
        body:JSON.stringify({
          model:"claude-sonnet-4-6",
          max_tokens:1000,
          system:systemPrompt,
          messages:newMsgs,
        }),
      });
      const data = await res.json();
      const reply = data.content?.[0]?.text || "Sorry, no response received.";
      setMessages(prev => [...prev, {role:"assistant", content:reply}]);
    } catch(err) {
      setMessages(prev => [...prev, {role:"assistant", content:`Error: ${err.message}`}]);
    }
    setLoading(false);
    setTimeout(scrollToBottom, 50);
  };

  return (
    <div style={{display:"flex",flexDirection:"column",height:520}}>
      <div style={{marginBottom:10}}>
        <div style={{fontSize:13,fontWeight:700,color:T.text1,marginBottom:3}}>Ask Me Anything</div>
        <div style={{fontSize:11,color:T.text2}}>Ask questions about chargebacks across customers, categories, channels and brands.</div>
      </div>
      <div style={{flex:1,overflowY:"auto",border:`1.5px solid ${T.border}`,borderRadius:8,padding:12,marginBottom:10,background:T.rowAlt,display:"flex",flexDirection:"column",gap:10}}>
        {messages.length===0 && (
          <div style={{color:T.muted,fontSize:12,textAlign:"center",marginTop:30}}>
            <div style={{fontSize:28,marginBottom:8}}>?</div>
            <div style={{marginBottom:14}}>Ask a question to get started.</div>
            <div style={{display:"flex",flexDirection:"column",gap:6,alignItems:"center"}}>
              {SUGGESTIONS.map((s,i)=>(
                <button key={i} onClick={()=>send(s)} style={{background:T.card,border:`1.5px solid ${T.border}`,borderRadius:20,padding:"5px 14px",fontSize:11,color:T.text3,cursor:"pointer",fontFamily:"inherit",maxWidth:380}}>{s}</button>
              ))}
            </div>
          </div>
        )}
        {messages.map((m,i)=>(
          <div key={i} style={{display:"flex",gap:8,alignItems:"flex-start",flexDirection:m.role==="user"?"row-reverse":"row"}}>
            <div style={{width:26,height:26,borderRadius:"50%",flexShrink:0,display:"flex",alignItems:"center",justifyContent:"center",fontSize:11,fontWeight:700,background:m.role==="user"?"#2563EB":T.border,color:m.role==="user"?"#fff":T.text3}}>
              {m.role==="user"?"U":"A"}
            </div>
            <div style={{maxWidth:"80%",padding:"9px 13px",fontSize:12,lineHeight:1.65,whiteSpace:"pre-wrap",borderRadius:m.role==="user"?"10px 10px 2px 10px":"10px 10px 10px 2px",background:m.role==="user"?"#2563EB":T.card,color:m.role==="user"?"#fff":T.text1,border:m.role==="user"?"none":`1.5px solid ${T.border}`}}>
              {m.content}
            </div>
          </div>
        ))}
        {loading && (
          <div style={{display:"flex",gap:8,alignItems:"center"}}>
            <div style={{width:26,height:26,borderRadius:"50%",background:_dark?"#1E3A5F":"#F3F4F6",display:"flex",alignItems:"center",justifyContent:"center",fontSize:11,fontWeight:700,color:T.text3}}>A</div>
            <div style={{padding:"9px 13px",fontSize:12,border:`1.5px solid ${T.border}`,borderRadius:"10px 10px 10px 2px",background:T.card,color:T.muted}}>Thinking...</div>
          </div>
        )}
        <div ref={bottomRef}/>
      </div>
      <div style={{display:"flex",gap:8}}>
        <input
          value={input}
          onChange={e=>setInput(e.target.value)}
          onKeyDown={e=>{if(e.key==="Enter"&&!e.shiftKey){e.preventDefault();send();}}}
          placeholder="Ask about chargebacks data..."
          style={{flex:1,padding:"9px 13px",borderRadius:8,border:"1.5px solid #D1D5DB",fontSize:13,outline:"none",fontFamily:"inherit"}}
        />
        <button onClick={()=>send()} disabled={loading||!input.trim()} style={{padding:"9px 20px",borderRadius:8,background:loading||!input.trim()?T.border:"#2563EB",color:loading||!input.trim()?T.muted:"#fff",border:"none",fontWeight:700,fontSize:13,cursor:loading||!input.trim()?"default":"pointer",fontFamily:"inherit"}}>
          Send
        </button>
      </div>
    </div>
  );
}

function RetailerScorecard({ brand, lo, hi, retailerView, setRetailerView, _dark }) {
        const ALL_RETAILERS = [
          "Target","Walmart","Walmart Canada","Amazon","Costco","Sam's Club",
          "CVS","Walgreens","Kroger","Albertsons","Meijer","Dollar General",
          "Publix","H-E-B","Harris Teeter","Crossmark","C&S","Shoppers Drug Mart",
          "TJX","KOHLS","Ulta","KeHe"
        ];

        // ── On-Time & In-Full data keyed by retailer (2026 YTD weekly) ──
        // Weekly data is all 2026 — filter weeks whose month is within the selected lo/hi range
        const selectedMonths = new Set(ALL_PERIODS.filter(p=>p.year===2026&&p.idx>=lo&&p.idx<=hi).map(p=>p.month));
        // "Jan 19" -> "Jan", "Feb 2" -> "Feb", etc.
        const weekInRange = w => selectedMonths.has(w.split(" ")[0]);

        const JUN1_OT = {"Target":100,"Walmart":86,"Drug & Dollar":33,"Grocery":76,"Walgreens":null,"CVS":null};
        const INFUL_BY_RETAILER = {
          "Target":  [{w:"Jan 19",v:99.4},{w:"Feb 2",v:97.7},{w:"Feb 9",v:99.3},{w:"Feb 16",v:98.9},{w:"Feb 23",v:98.1},{w:"Mar 2",v:97.5},{w:"Mar 9",v:null},{w:"Mar 16",v:96.9},{w:"Mar 23",v:96.5},{w:"Mar 30",v:96.9},{w:"Apr 6",v:96.7},{w:"Apr 13",v:97.0},{w:"Apr 20",v:97.3},{w:"Apr 27",v:97.4},{w:"May 4",v:98.2},{w:"May 11",v:98.1},{w:"May 18",v:97.9},{w:"May 25",v:97.9},{w:"Jun 1",v:97.5},{w:"Jun 8",v:null}],
          "Walmart": [{w:"Feb 2",v:94.7},{w:"Feb 9",v:98.3},{w:"Feb 16",v:99.1},{w:"Feb 23",v:99.4},{w:"Mar 2",v:99.5},{w:"Mar 9",v:99.5},{w:"Mar 16",v:null},{w:"Mar 23",v:99.6},{w:"Mar 30",v:99.5},{w:"Apr 6",v:null},{w:"Apr 13",v:null},{w:"Apr 20",v:99.3},{w:"Apr 27",v:99.2},{w:"May 4",v:null},{w:"May 11",v:98.9},{w:"May 18",v:99.0},{w:"May 25",v:99.0},{w:"Jun 1",v:99.2},{w:"Jun 8",v:null}],
        };
        // NA Retail weekly On-Time (aggregate, used for all retailers)
        const NA_OT_WEEKLY = [
          {w:"Jan 19",ot:86.4},{w:"Feb 2",ot:95.7},{w:"Feb 9",ot:93.9},{w:"Feb 16",ot:90.7},{w:"Feb 23",ot:91.1},
          {w:"Mar 2",ot:92.8},{w:"Mar 9",ot:96.1},{w:"Mar 16",ot:96.4},{w:"Mar 23",ot:92.1},{w:"Mar 30",ot:83.5},
          {w:"Apr 6",ot:95.1},{w:"Apr 13",ot:96.1},{w:"Apr 20",ot:95.4},{w:"Apr 27",ot:95.2},
          {w:"May 11",ot:94.6},{w:"May 18",ot:94.9},{w:"May 25",ot:95.5},{w:"Jun 1",ot:89.8},
        ];
        // Merge + apply date range filter
        const retailerIfSeries = INFUL_BY_RETAILER[retailerView];
        const retailerOtif = (() => {
          const otMap = Object.fromEntries(NA_OT_WEEKLY.map(d=>[d.w,d.ot]));
          if (retailerIfSeries) {
            return retailerIfSeries
              .filter(d=>weekInRange(d.w))
              .map(d=>({w:d.w, if:d.v, ot:otMap[d.w]||null}))
              .filter(d=>d.if!==null||d.ot!==null);
          }
          return [
            {w:"Jan 19",if:99.4,ot:86.4,otif:85.9},{w:"Feb 2",if:97.7,ot:95.7,otif:93.5},{w:"Feb 9",if:99.3,ot:93.9,otif:93.2},
            {w:"Feb 16",if:98.9,ot:90.7,otif:89.7},{w:"Feb 23",if:98.1,ot:91.1,otif:89.4},{w:"Mar 2",if:97.5,ot:92.8,otif:92.0},
            {w:"Mar 9",if:96.7,ot:96.1,otif:93.8},{w:"Mar 16",if:97.3,ot:96.4,otif:93.8},{w:"Mar 23",if:97.6,ot:92.1,otif:89.9},
            {w:"Mar 30",if:98.6,ot:83.5,otif:82.3},{w:"Apr 6",if:99.2,ot:95.1,otif:94.3},{w:"Apr 13",if:99.3,ot:96.1,otif:95.4},
            {w:"Apr 20",if:97.8,ot:95.4,otif:93.3},{w:"Apr 27",if:99.0,ot:95.2,otif:94.2},{w:"May 11",if:97.8,ot:94.6,otif:92.5},
            {w:"May 18",if:97.8,ot:94.9,otif:92.8},{w:"May 25",if:97.7,ot:95.5,otif:93.3},{w:"Jun 1",if:98.1,ot:89.8,otif:88.1},
          ].filter(d=>weekInRange(d.w));
        })();
        const hasRetailerOtif = !!retailerIfSeries;
        const jun1OT = JUN1_OT[retailerView];

        // ── In-Stock weekly (date-range filtered) ──
        const INSTOCK_DATA = {
          "Target":  [{w:"Jan 5",v:92.8},{w:"Jan 12",v:94.0},{w:"Jan 19",v:95.3},{w:"Jan 26",v:95.7},{w:"Feb 2",v:95.8},{w:"Feb 9",v:97.8},{w:"Feb 16",v:97.4},{w:"Feb 23",v:97.6},{w:"Mar 2",v:97.6},{w:"Mar 9",v:null},{w:"Mar 16",v:96.9},{w:"Mar 23",v:96.5},{w:"Mar 30",v:96.9},{w:"Apr 6",v:96.7},{w:"Apr 13",v:97.0},{w:"Apr 20",v:97.3},{w:"Apr 27",v:97.4},{w:"May 4",v:98.2},{w:"May 11",v:98.1},{w:"May 18",v:97.9},{w:"May 25",v:97.9},{w:"Jun 1",v:97.5},{w:"Jun 8",v:null}],
          "Walmart": [{w:"Jan 5",v:96.0},{w:"Jan 12",v:87.0},{w:"Jan 19",v:88.0},{w:"Jan 26",v:91.0},{w:"Feb 2",v:94.7},{w:"Feb 9",v:98.3},{w:"Feb 16",v:99.1},{w:"Feb 23",v:99.4},{w:"Mar 2",v:99.5},{w:"Mar 9",v:99.5},{w:"Mar 16",v:null},{w:"Mar 23",v:99.6},{w:"Mar 30",v:99.5},{w:"Apr 6",v:null},{w:"Apr 13",v:null},{w:"Apr 20",v:99.3},{w:"Apr 27",v:99.2},{w:"May 4",v:null},{w:"May 11",v:98.9},{w:"May 18",v:99.0},{w:"May 25",v:99.0},{w:"Jun 1",v:99.2},{w:"Jun 8",v:null}],
          "Amazon":  [{w:"Jan 5",v:98.9},{w:"Jan 12",v:98.8},{w:"Jan 19",v:98.8},{w:"Jan 26",v:98.7},{w:"Feb 2",v:98.6},{w:"Feb 9",v:98.5},{w:"Feb 16",v:98.5},{w:"Feb 23",v:98.1},{w:"Mar 2",v:97.7},{w:"Mar 9",v:97.8},{w:"Mar 16",v:98.0},{w:"Mar 23",v:97.9},{w:"Mar 30",v:97.8},{w:"Apr 6",v:null},{w:"Apr 13",v:97.8},{w:"Apr 20",v:97.8},{w:"Apr 27",v:97.5},{w:"May 4",v:96.8},{w:"May 11",v:96.3},{w:"May 18",v:96.3},{w:"May 25",v:96.2},{w:"Jun 1",v:95.9},{w:"Jun 8",v:96.3}],
        };
        const instockData = (INSTOCK_DATA[retailerView] || []).filter(d=>d.v!==null && weekInRange(d.w));

        // ── Cut $ weekly (2026 YTD) ──
        const CUT_WEEKS = ["2/2","2/9","2/16","2/23","3/2","3/9","3/16","3/23","3/30","4/6","4/13","4/20","4/27","5/4","5/11","5/18","5/25","6/1","6/8"];
        const CUT_DATA = {
          "Target":        [0,552,49934,111583,39913,72612,73330,23559,9915,37518,74458,110479,12903,111865,198719,54904,0,198212,162972],
          "Walmart":       [527,13062,2619,53652,68826,127583,186464,26923,14810,22384,67553,11948,11764,195283,126064,96531,80824,119635,42460],
          "Walmart Canada":[0,2889,6403,7223,15485,34488,144257,0,0,0,0,0,0,2593,0,27,0,54,52],
          "CVS":           [0,0,0,6212,3662,469,5493,0,13332,0,0,0,0,0,0,31094,21315,43331,0],
          "Kroger":        [0,0,0,16078,2857,0,0,0,0,0,0,0,0,1190,7500,21594,21565,18007,0],
          "Meijer":        [0,6962,0,3225,4629,3186,707,6987,4408,4750,3326,2289,1656,6928,5858,7621,6456,12753,3537],
          "Walgreens":     [0,0,0,0,0,0,0,1462,0,1462,12710,12660,0,10952,238,19210,0,9764,6087],
          "C&S":           [3959,3215,252,29153,627,0,5394,0,1848,0,0,0,0,0,0,7034,7064,5243,0],
          "H-E-B":         [0,0,0,7619,14860,4197,10132,591,9053,731,6577,0,0,0,4291,27267,0,1905,3282],
        };
        // Map cut week "m/d" -> month name for range filtering
        const CUT_WEEK_MONTHS = {"2/2":"Feb","2/9":"Feb","2/16":"Feb","2/23":"Feb","3/2":"Mar","3/9":"Mar","3/16":"Mar","3/23":"Mar","3/30":"Mar","4/6":"Apr","4/13":"Apr","4/20":"Apr","4/27":"Apr","5/4":"May","5/11":"May","5/18":"May","5/25":"May","6/1":"Jun","6/8":"Jun"};
        const cutSeries = CUT_DATA[retailerView];
        const cutChartData = cutSeries ? CUT_WEEKS.map((w,i)=>({w,cuts:cutSeries[i]})).filter(d=>d.cuts>0 && selectedMonths.has(CUT_WEEK_MONTHS[d.w])) : [];
        const totalCuts = cutChartData.reduce((s,d)=>s+d.cuts,0);

        // ── Brand + date range filter helpers ──
        const bMatch = b => brand==="All" || b===brand;
        const inRange = (year, month) => { const p=ALL_PERIODS.find(p=>p.year===year&&p.month===month); return p && p.idx>=lo && p.idx<=hi; };

        // ── CB monthly by brand (date-range filtered) ──
        const cbMonthly = RAW_CUST_MONTHLY.filter(d=>d.Customer===retailerView && bMatch(d.Brand) && inRange(d.Year,d.Month))
          .sort((a,b)=>a.Year!==b.Year?a.Year-b.Year:MI[a.Month]-MI[b.Month]);
        const cbByPeriod = {};
        cbMonthly.forEach(d=>{
          const key=`${d.Year}-${d.Month}`;
          if(!cbByPeriod[key]) cbByPeriod[key]={label:key,hf_cb:null,lm_cb:null,total_cb:0};
          if(d.Brand==="HF") cbByPeriod[key].hf_cb=(cbByPeriod[key].hf_cb||0)+d.Net_CB;
          else cbByPeriod[key].lm_cb=(cbByPeriod[key].lm_cb||0)+d.Net_CB;
          cbByPeriod[key].total_cb+=d.Net_CB;
        });

        // ── Revenue allocation: annual cust rev * (monthly brand rev share) ──
        // annual customer rev per brand/year from RAW_CUSTOMER
        const annualCustRevLu = {};
        RAW_CUSTOMER.forEach(d=>{ annualCustRevLu[`${d.Brand}|${d.Year}|${d.Customer}`]=d.Rev; });
        // brand-level monthly rev totals (to get each month's share of annual)
        const annualBrandRevLu = {};
        RAW_MONTHLY.forEach(d=>{
          const yr=d.Year, br=d.Brand;
          if(!annualBrandRevLu[`${br}|${yr}`]) annualBrandRevLu[`${br}|${yr}`]=0;
          annualBrandRevLu[`${br}|${yr}`]+=d.Rev;
        });
        // monthly brand rev lookup
        const monthBrandRevLu = {};
        RAW_MONTHLY.forEach(d=>{ monthBrandRevLu[`${d.Brand}|${d.Year}|${d.Month}`]=d.Rev; });
        // compute allocated monthly customer revenue per brand
        const custMonthRevLu = {}; // key = "Brand|Year|Month"
        ["HF","LM"].forEach(br=>{
          [2025,2026].forEach(yr=>{
            const annualCustRev = annualCustRevLu[`${br}|${yr}|${retailerView}`]
              || annualCustRevLu[`${br}|${yr}|${retailerView.replace(" Inc.","")}`]
              || 0;
            const annualBrandRev = annualBrandRevLu[`${br}|${yr}`]||1;
            MONTH_ORDER.forEach(mo=>{
              const mRev = monthBrandRevLu[`${br}|${yr}|${mo}`]||0;
              custMonthRevLu[`${br}|${yr}|${mo}`] = annualCustRev * (mRev/annualBrandRev);
            });
          });
        });

        const cbChartData = ALL_PERIODS.filter(p=>p.idx>=lo&&p.idx<=hi).map(p=>{
          const key=`${p.year}-${p.month}`;
          const row = cbByPeriod[key];
          if(!row) return {label:p.label,hf:null,lm:null,total:null};
          const hfRev = custMonthRevLu[`HF|${p.year}|${p.month}`]||0;
          const lmRev = custMonthRevLu[`LM|${p.year}|${p.month}`]||0;
          const hfPct = (row.hf_cb!==null && hfRev>0) ? row.hf_cb/hfRev*100 : null;
          const lmPct = (row.lm_cb!==null && lmRev>0) ? row.lm_cb/lmRev*100 : null;
          const totRev = hfRev + lmRev;
          const totPct = (row.total_cb!==0 && totRev>0) ? row.total_cb/totRev*100 : null;
          return {label:p.label, hf:hfPct, lm:lmPct, total:totPct,
                  hf_cb:row.hf_cb, lm_cb:row.lm_cb, total_cb:row.total_cb};
        }).filter(d=>d.hf!==null||d.lm!==null);

        // ── Annual CB summary (brand-filtered) ──
        const yearsInRange = [...new Set(ALL_PERIODS.filter(p=>p.idx>=lo&&p.idx<=hi).map(p=>p.year))];
        const annualCB=RAW_CUSTOMER.filter(d=>(d.Customer===retailerView||d.Customer===retailerView.replace(" Inc.","")) && bMatch(d.Brand) && yearsInRange.includes(d.Year));
        const cb2025=annualCB.filter(d=>d.Year===2025).reduce((s,d)=>s+d.Net_CB,0);
        const cb2026=annualCB.filter(d=>d.Year===2026).reduce((s,d)=>s+d.Net_CB,0);
        const rev2025=annualCB.filter(d=>d.Year===2025).reduce((s,d)=>s+d.Rev,0);
        const rev2026=annualCB.filter(d=>d.Year===2026).reduce((s,d)=>s+d.Rev,0);
        const pct2025=rev2025>0?cb2025/rev2025*100:null;
        const pct2026=rev2026>0?cb2026/rev2026*100:null;

        // ── Recovery (brand + year range filtered) ──
        const recovAll=RAW_RECOVERY_CUST.filter(d=>d.Customer===retailerView && yearsInRange.includes(d.Year) && (brand==="All"||(brand==="HF"&&d.Brand==="H&F")||(brand==="LM"&&d.Brand==="L&M")));
        const grossCBTotal=recovAll.reduce((s,d)=>s+Math.abs(d.Gross_CB),0);
        const reversalsTotal=recovAll.reduce((s,d)=>s+d.Reversals,0);
        const recovRate=grossCBTotal>0?reversalsTotal/grossCBTotal*100:null;

        const hasData=cbChartData.length>0;
        const hasCuts=cutSeries&&totalCuts>0;
        const hasOtif=retailerOtif.length>0;
        const hasInstock=instockData.length>0;

        const SectionHdr = ({icon,title,sub})=>(
          <div style={{display:"flex",alignItems:"center",gap:10,margin:"28px 0 14px",borderTop:`1.5px solid ${T.border}`,paddingTop:18}}>
            <span style={{fontSize:16}}>{icon}</span>
            <div>
              <div style={{fontSize:13,fontWeight:800,color:T.text1}}>{title}</div>
              {sub&&<div style={{fontSize:10,color:T.text2,marginTop:1}}>{sub}</div>}
            </div>
          </div>
        );

        return (
          <div style={{background:T.card,border:"1.5px solid #DDD6FE",borderRadius:"0 10px 10px 10px",padding:20}}>

            {/* ── Header + selector ── */}
            <div style={{display:"flex",alignItems:"flex-start",justifyContent:"space-between",flexWrap:"wrap",gap:12,marginBottom:20}}>
              <div>
                <div style={{fontSize:18,fontWeight:800,color:"#6D28D9"}}>🏪 Retailer Scorecard</div>
                <div style={{fontSize:11,color:T.text2,marginTop:2}}>On-time · In-full · Cuts $ · Chargebacks by reason · 2025–2026 YTD</div>
              </div>
              <div style={{display:"flex",alignItems:"center",gap:8}}>
                {brand!=="All"&&<span style={{background:BLIGHT[brand],color:BCOLORS[brand],fontWeight:700,fontSize:11,borderRadius:6,padding:"4px 10px",border:`1px solid ${BCOLORS[brand]}44`}}>{brand==="HF"?"H&F Only":"L&M Only"}</span>}
                <span style={{fontSize:11,fontWeight:700,color:"#6D28D9"}}>RETAILER</span>
                <select value={retailerView} onChange={e=>setRetailerView(e.target.value)}
                  style={{padding:"8px 14px",borderRadius:8,border:"1.5px solid #DDD6FE",fontSize:13,fontWeight:700,color:"#6D28D9",background:"#F5F3FF",cursor:"pointer",minWidth:190}}>
                  {ALL_RETAILERS.map(r=><option key={r} value={r}>{r}</option>)}
                </select>
              </div>
            </div>

            {!hasData&&!hasOtif&&!hasCuts ? (
              <div style={{textAlign:"center",padding:"48px 0",color:T.text2,fontSize:13}}>
                No data available for <strong>{retailerView}</strong> in the current dataset.
              </div>
            ) : (
              <>
                {/* ── KPI strip ── */}
                <div style={{display:"flex",gap:10,flexWrap:"wrap",marginBottom:4}}>
                  {[
                    {label:"2025 CB % of Rev",    value:pct2025!==null?fmtP(pct2025):"—",  sub:cb2025!==0?`Net CB: ${fmt$(cb2025)}`:"no rev data", hi:pct2025>2?"red":pct2025!==null?"green":null},
                    {label:"2026 YTD CB % of Rev",value:pct2026!==null?fmtP(pct2026):"—",  sub:cb2026!==0?`Net CB: ${fmt$(cb2026)}`:"no rev data", hi:pct2026>2?"red":pct2026!==null?"green":null},
                    ...(hasCuts?[{label:"2026 YTD Cut $",value:fmt$(totalCuts),sub:"actualized weekly",hi:"red"}]:[]),
                    ...(recovRate!==null?[{label:"Avg Recovery Rate",value:`${recovRate.toFixed(1)}%`,sub:"reversals / gross CB",hi:recovRate>50?"green":"red"}]:[]),
                  ].map(k=>(
                    <div key={k.label} style={{background:k.hi==="red"?(_dark?"#450a0a":"#FEF2F2"):k.hi==="green"?(_dark?"#052e16":"#F0FDF4"):T.card,border:`1px solid ${T.border}`,borderRadius:10,padding:"11px 15px",flex:"1 1 130px"}}>
                      <div style={{fontSize:9,fontWeight:700,color:T.text2,textTransform:"uppercase",letterSpacing:".07em",marginBottom:2}}>{k.label}</div>
                      <div style={{fontSize:19,fontWeight:800,color:T.text1}}>{k.value}</div>
                      <div style={{fontSize:10,color:T.muted,marginTop:1}}>{k.sub}</div>
                    </div>
                  ))}
                </div>

                {/* ══ SECTION 1: On-Time & In-Full ══ */}
                <SectionHdr icon="📦" title="On-Time & In-Full"
                  sub={hasRetailerOtif?`In-Full: retailer-specific · On-Time: NA Retail aggregate (retailer-level weekly not available in dataset)`:`NA Retail aggregate (retailer-level not available for ${retailerView})`}/>
                {brand!=="All"&&(
                  <div style={{background:_dark?"#1E293B":"#F1F5F9",border:"1px solid #CBD5E1",borderRadius:8,padding:"8px 12px",marginBottom:12,fontSize:11,color:"#475569",lineHeight:1.6}}>
                    ℹ️ OTIF and In-Stock data is tracked at the Mammoth Brands level and is not split by brand. The <strong>{brand==="HF"?"H&F":"L&M"}</strong> filter does not apply here.
                  </div>
                )}
                {jun1OT!==undefined&&jun1OT!==null&&(
                  <div style={{background:"#FFFBEB",border:"1px solid #FDE68A",borderRadius:8,padding:"8px 12px",marginBottom:12,fontSize:11,color:"#92400E",lineHeight:1.6}}>
                    ⚡ <strong>Jun 1 On-Time snapshot — {retailerView}: {jun1OT}%</strong> · Weekly retailer-level On-Time series is not tracked in this dataset. On-Time line below reflects NA Retail aggregate.
                  </div>
                )}
                <div style={{display:"flex",gap:12,fontSize:11,color:T.text2,marginBottom:8,flexWrap:"wrap"}}>
                  <span style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:"#3B82F6",display:"inline-block"}}></span>In-Full %{hasRetailerOtif?" (retailer)":""}</span>
                  <span style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:"#10B981",display:"inline-block"}}></span>On-Time % (NA Retail)</span>
                  {!hasRetailerOtif&&<span style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:"#EF4444",display:"inline-block"}}></span>OTIF %</span>}
                </div>
                <ResponsiveContainer width="100%" height={240}>
                  <LineChart data={retailerOtif} margin={{top:4,right:16,left:4,bottom:4}}>
                    <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
                    <XAxis dataKey="w" tick={{fontSize:10,fill:"#9CA3AF"}} angle={-30} textAnchor="end" height={45}/>
                    <YAxis domain={[78,102]} tickFormatter={v=>v+"%"} tick={{fontSize:10}} width={38}/>
                    <Tooltip formatter={(v,n)=>[v!=null?v.toFixed(1)+"%":"N/A",n]}/>
                    <ReferenceLine y={95} stroke="#D97706" strokeDasharray="4 4" label={{value:"95%",fontSize:9,fill:"#D97706",position:"right"}}/>
                    <Line type="monotone" dataKey="if"   name="In-Full %"  stroke="#3B82F6" strokeWidth={2} dot={{r:2}} connectNulls/>
                    <Line type="monotone" dataKey="ot"   name="On-Time % (NA Retail)" stroke="#10B981" strokeWidth={2} dot={{r:2}} strokeDasharray="4 3" connectNulls/>
                    {!hasRetailerOtif&&<Line type="monotone" dataKey="otif" name="OTIF %"    stroke="#EF4444" strokeWidth={2} dot={{r:2}} strokeDasharray="2 4" connectNulls/>}
                  </LineChart>
                </ResponsiveContainer>

                {/* In-Stock line (where available) */}
                {hasInstock&&(
                  <div style={{marginTop:16}}>
                    <div style={{fontSize:12,fontWeight:700,color:T.text3,marginBottom:6}}>In-Stock % — {retailerView} <span style={{fontWeight:400,color:T.muted,fontSize:10}}>2026 YTD weekly</span></div>
                    <ResponsiveContainer width="100%" height={200}>
                      <LineChart data={instockData} margin={{top:4,right:16,left:4,bottom:4}}>
                        <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
                        <XAxis dataKey="w" tick={{fontSize:10,fill:"#9CA3AF"}} angle={-30} textAnchor="end" height={45}/>
                        <YAxis domain={[84,101]} tickFormatter={v=>v+"%"} tick={{fontSize:10}} width={38}/>
                        <Tooltip formatter={(v)=>[v!=null?v.toFixed(1)+"%":"N/A","In-Stock %"]}/>
                        <ReferenceLine y={95} stroke="#D97706" strokeDasharray="4 4" label={{value:"95%",fontSize:9,fill:"#D97706",position:"right"}}/>
                        <Line type="monotone" dataKey="v" name="In-Stock %" stroke="#7C3AED" strokeWidth={2} dot={{r:2}} connectNulls/>
                      </LineChart>
                    </ResponsiveContainer>
                  </div>
                )}

                {/* ══ SECTION 2: Cuts $ Over Time ══ */}
                <SectionHdr icon="✂️" title="Cuts $ Over Time"
                  sub={hasCuts?`2026 YTD weekly actualized · Total: ${fmt$(totalCuts)}`:"2026 YTD weekly data"}/>
                {hasCuts ? (
                  <>
                    <div style={{display:"flex",gap:12,fontSize:11,color:T.text2,marginBottom:8,flexWrap:"wrap"}}>
                      <span style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:"#10B981",display:"inline-block"}}></span>&lt;$100K — low</span>
                      <span style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:"#F59E0B",display:"inline-block"}}></span>$100–299K — elevated</span>
                      <span style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:"#EF4444",display:"inline-block"}}></span>$300K+ — high</span>
                    </div>
                    <ResponsiveContainer width="100%" height={220}>
                      <BarChart data={cutChartData} margin={{top:4,right:16,left:4,bottom:4}}>
                        <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
                        <XAxis dataKey="w" tick={{fontSize:10,fill:"#9CA3AF"}} angle={-30} textAnchor="end" height={45}/>
                        <YAxis tickFormatter={v=>v>=1000?"$"+(v/1000).toFixed(0)+"K":"$"+v} tick={{fontSize:10}} width={56}/>
                        <Tooltip formatter={(v)=>["$"+Math.round(v).toLocaleString(),"Cut $"]}/>
                        <Bar dataKey="cuts" name="Cut $" radius={[3,3,0,0]}>
                          {cutChartData.map((d,i)=><Cell key={i} fill={d.cuts>=300000?"#EF4444":d.cuts>=100000?"#F59E0B":"#10B981"}/>)}
                        </Bar>
                      </BarChart>
                    </ResponsiveContainer>
                  </>
                ) : (
                  <div style={{fontSize:11,color:T.text2,padding:"12px 0",background:T.card,border:`1px solid ${T.border}`,borderRadius:8,paddingLeft:14,lineHeight:1.6}}>
                    ℹ️ Weekly cut $ data is not available for <strong>{retailerView}</strong>. This dataset tracks Target, Walmart, Walmart Canada, CVS, Kroger, Meijer, Walgreens, C&S, and H-E-B.
                  </div>
                )}

                {/* ══ SECTION 3: Chargebacks Over Time ══ */}
                {hasData&&(
                  <>
                    <SectionHdr icon="💳" title="Chargebacks % of Revenue Over Time"
                      sub="Monthly CB as % of allocated gross revenue by brand · Jan 2025 – May 2026 · Revenue allocated via brand-level monthly weight"/>
                    <div style={{display:"flex",gap:12,fontSize:11,color:T.text2,marginBottom:8,flexWrap:"wrap"}}>
                      <span style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:BCOLORS.HF,display:"inline-block"}}></span>H&F CB%</span>
                      <span style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:BCOLORS.LM,display:"inline-block"}}></span>L&M CB%</span>
                      <span style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:"#F59E0B",display:"inline-block"}}></span>Combined CB%</span>
                    </div>
                    <ResponsiveContainer width="100%" height={240}>
                      <ComposedChart data={cbChartData} margin={{top:4,right:16,left:4,bottom:4}}>
                        <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
                        <XAxis dataKey="label" tick={{fontSize:10,fill:"#9CA3AF"}} angle={-30} textAnchor="end" height={45}/>
                        <YAxis tickFormatter={v=>v!=null?v.toFixed(1)+"%":""} tick={{fontSize:10}} width={52}/>
                        <Tooltip formatter={(v,n)=>[v!=null?v.toFixed(2)+"%":"N/A",n]}/>
                        <ReferenceLine y={0} stroke="#9CA3AF"/>
                        <ReferenceLine y={2} stroke="#F59E0B" strokeDasharray="4 3" label={{value:"2% threshold",fontSize:9,fill:"#D97706",position:"right"}}/>
                        <Line type="monotone" dataKey="hf"    name="H&F CB%"      stroke={BCOLORS.HF} strokeWidth={2} dot={{r:3}} connectNulls hide={brand==="LM"}/>
                        <Line type="monotone" dataKey="lm"    name="L&M CB%"      stroke={BCOLORS.LM} strokeWidth={2} dot={{r:3}} connectNulls hide={brand==="HF"}/>
                        <Line type="monotone" dataKey="total" name="Combined CB%"  stroke="#F59E0B"    strokeWidth={2} dot={{r:3}} connectNulls hide={brand!=="All"} strokeDasharray="5 3"/>
                      </ComposedChart>
                    </ResponsiveContainer>

                    {/* CB % of Revenue tiles */}
                    {annualCB.filter(d=>d.Rev>0).length>0&&(
                      <div style={{display:"flex",gap:10,flexWrap:"wrap",marginTop:14}}>
                        {annualCB.filter(d=>d.Rev>0).map((d,i)=>(
                          <div key={i} style={{background:T.card,border:`1px solid ${T.border}`,borderRadius:8,padding:"10px 14px",flex:"1 1 130px"}}>
                            <div style={{fontSize:9,fontWeight:700,color:T.text2,textTransform:"uppercase",letterSpacing:".05em",marginBottom:2}}>{d.Year} · {d.Brand==="HF"?"H&F":"L&M"}</div>
                            <div style={{fontSize:17,fontWeight:800,color:d.Pct>3?"#DC2626":d.Pct>1.5?"#D97706":"#059669"}}>{fmtP(d.Pct)}</div>
                            <div style={{fontSize:10,color:T.muted}}>{fmt$(d.Net_CB)} on {fmt$(d.Rev)} rev</div>
                          </div>
                        ))}
                      </div>
                    )}
                  </>
                )}

                {/* ── Recovery table ── */}
                {recovAll.length>0&&(
                  <>
                    <SectionHdr icon="↩️" title="Chargeback Recovery" sub="Gross CB, reversals, and recovery rate by brand/year"/>
                    <table style={{width:"100%",borderCollapse:"collapse",fontSize:12}}>
                      <thead>
                        <tr style={{borderBottom:`2px solid ${T.border}`}}>
                          {["Brand","Year","Gross CB","Reversals","Net CB","Recovery %"].map(h=>(
                            <th key={h} style={{textAlign:["Gross CB","Reversals","Net CB","Recovery %"].includes(h)?"right":"left",padding:"6px 8px",fontWeight:700,color:T.text3,fontSize:10,textTransform:"uppercase"}}>{h}</th>
                          ))}
                        </tr>
                      </thead>
                      <tbody>
                        {recovAll.sort((a,b)=>a.Year-b.Year).map((r,i)=>{
                          const rc=r.Recovery_Rate>=50?"#16A34A":r.Recovery_Rate>=25?"#D97706":"#DC2626";
                          return (
                            <tr key={i} style={{borderBottom:`1px solid ${T.border}`,background:i%2===0?T.rowAlt:T.rowBase}}>
                              <td style={{padding:"5px 8px"}}><span style={{background:BLIGHT[r.Brand==="H&F"?"HF":"LM"],color:BCOLORS[r.Brand==="H&F"?"HF":"LM"],fontWeight:700,fontSize:10,borderRadius:4,padding:"2px 6px"}}>{r.Brand}</span></td>
                              <td style={{padding:"5px 8px",color:T.text2}}>{r.Year}</td>
                              <td style={{padding:"5px 8px",textAlign:"right",color:"#DC2626",fontWeight:600}}>{fmt$(Math.abs(r.Gross_CB))}</td>
                              <td style={{padding:"5px 8px",textAlign:"right",color:"#16A34A",fontWeight:600}}>{fmt$(r.Reversals)}</td>
                              <td style={{padding:"5px 8px",textAlign:"right",fontWeight:700}}>{fmt$(Math.abs(r.Net_CB))}</td>
                              <td style={{padding:"5px 8px",textAlign:"right",fontWeight:700,color:rc}}>{r.Recovery_Rate.toFixed(1)}%</td>
                            </tr>
                          );
                        })}
                      </tbody>
                    </table>
                  </>
                )}
              </>
            )}
          </div>
        );
}

export default function Dashboard() {
  // Global filters
  const [brand,    setBrand]    = useState("All");
  const [dark,     setDark]     = useState(false);
  const [lo,       setLo]       = useState(12); // Jan 2026
  const [hi,       setHi]       = useState(MAX_IDX);
  const [gran,     setGran]     = useState("month");
  const [categories, setCategories] = useState(["All"]);

  // helpers - use array so useMemo dep comparisons work correctly
  const catMatch = c => categories[0]==="All" || categories.includes(c);
  const toggleCat = c => {
    if (c === "All") { setCategories(["All"]); return; }
    setCategories(prev => {
      const cur = prev[0] === "All" ? [] : prev;
      if (cur.includes(c)) {
        const next = cur.filter(x => x !== c);
        return next.length === 0 ? ["All"] : next;
      }
      return [...cur, c];
    });
  };


  // Mutate module-level T so external components (KPI, Pill, TabBtn, etc.) pick it up
  _dark = dark;
  if (dark) {
    Object.assign(T, {bg:"#0F172A",card:"#1E293B",border:"#334155",border2:"#475569",
      text1:"#F1F5F9",text2:"#94A3B8",text3:"#CBD5E1",
      muted:"#64748B",rowAlt:"#1E293B",rowBase:"#0F172A",
      tabActive:"#1E293B",tabInactive:"#0F172A",tabBorder:"#334155",
      input:"#1E293B",inputBorder:"#475569"});
  } else {
    Object.assign(T, {bg:"#F9FAFB",card:"#fff",border:"#E5E7EB",border2:"#D1D5DB",
      text1:"#111827",text2:"#6B7280",text3:"#374151",
      muted:"#9CA3AF",rowAlt:"#FAFAFA",rowBase:"#fff",
      tabActive:"#fff",tabInactive:"#F9FAFB",tabBorder:"#E5E7EB",
      input:"#fff",inputBorder:"#D1D5DB"});
  }

  const [tab, setTab] = useState("trends");
  const [retailerView, setRetailerView] = useState("Walmart");

  // Per-tab state
  const [metric,         setMetric]         = useState("%");
  const [custTrendCust,  setCustTrendCust]   = useState("Walmart");
  const [custTrendBrand, setCustTrendBrand]  = useState("All");
  const [custTrendMetric,setCustTrendMetric] = useState("%");
  const [chTrendCh,      setChTrendCh]       = useState("Walmart");
  const [chTrendBrand,   setChTrendBrand]    = useState("All");
  const [chTrendMetric,  setChTrendMetric]   = useState("%");
  const [hypCustomer,    setHypCustomer]     = useState("All");
  const [hypBrand,       setHypBrand]        = useState("All");
  const [custSearch,     setCustSearch]      = useState("");
  const [sortCust,       setSortCust]        = useState("Net_CB");

  // Helpers
  const bMatch  = b => brand==="All"    || b===brand;
  const inRange  = (yr, mo) => periodInRange(yr, mo, lo, hi);
  const loP = ALL_PERIODS[lo], hiP = ALL_PERIODS[hi];
  const rangeLabel = `${loP.month} ${loP.year} \u2013 ${hiP.month} ${hiP.year}`;
  const hideHF = brand==="LM", hideLM = brand==="HF", isAll = brand==="All";
  const dotR = gran==="month" ? 3 : 5;

  // Bucket builder \u2014 shared across all tabs
  function makeBuckets(rows) {
    const map = {};
    rows.forEach(d => {
      const p = ALL_PERIODS.find(p=>p.year===d.Year&&p.month===d.Month);
      if (!p || p.idx<lo || p.idx>hi) return;
      const bk = bucketKey(p, gran);
      if (!map[bk]) map[bk] = {bKey:bk, sortKey:p.idx, Net_CB_HF:0, Net_CB_LM:0, Rev_HF:0, Rev_LM:0};
      else map[bk].sortKey = Math.min(map[bk].sortKey, p.idx);
      map[bk][`Net_CB_${d.Brand}`] = (map[bk][`Net_CB_${d.Brand}`]||0) + (d.Net_CB||0);
      if (d.Rev) map[bk][`Rev_${d.Brand}`] = (map[bk][`Rev_${d.Brand}`]||0) + d.Rev;
    });
    return Object.values(map)
      .sort((a,b)=>a.sortKey-b.sortKey)
      .map(r=>({...r,
        Pct_HF: r.Rev_HF>0 ? r.Net_CB_HF/r.Rev_HF*100 : null,
        Pct_LM: r.Rev_LM>0 ? r.Net_CB_LM/r.Rev_LM*100 : null,
      }));
  }

  // \u2500\u2500 TRENDS data \u2500\u2500
  // When category is "All" use RAW_MONTHLY; when filtered use RAW_CAT_MONTHLY
  const trendData = useMemo(() => {
    const _allCats = categories[0]==="All";
    if (_allCats) {
      return makeBuckets(RAW_MONTHLY.filter(d=>bMatch(d.Brand)));
    }
    // Build a rev lookup from RAW_MONTHLY so % mode works for filtered categories
    const revLu = {};
    RAW_MONTHLY.forEach(d=>{ revLu[`${d.Brand}|${d.Year}|${d.Month}`] = d.Rev; });
    const src = RAW_CAT_MONTHLY
      .filter(d=>bMatch(d.Brand)&&categories.includes(d.Category))
      .map(d=>({...d, Rev: revLu[`${d.Brand}|${d.Year}|${d.Month}`]||0}));
    return makeBuckets(src);
  }, [brand,lo,hi,gran,categories]);

  // -- KPIs --
  const kpiData = useMemo(() => {
    const _allCats = categories[0]==="All";
    const rows = _allCats
      ? RAW_MONTHLY.filter(d=>bMatch(d.Brand)&&inRange(d.Year,d.Month))
      : RAW_CAT_MONTHLY.filter(d=>bMatch(d.Brand)&&categories.includes(d.Category)&&inRange(d.Year,d.Month));
    const totalCB  = rows.reduce((s,d)=>s+d.Net_CB,0);
    // always use brand-level rev as denominator so % is meaningful
    const revRows  = RAW_MONTHLY.filter(d=>bMatch(d.Brand)&&inRange(d.Year,d.Month));
    const totalRev = revRows.reduce((s,d)=>s+d.Rev,0);
    const pct = totalRev>0 ? totalCB/totalRev*100 : 0;
    const r25 = RAW_MONTHLY.filter(d=>bMatch(d.Brand)&&d.Year===2025);
    const r26 = RAW_MONTHLY.filter(d=>bMatch(d.Brand)&&d.Year===2026);
    const cb25=r25.reduce((s,d)=>s+d.Net_CB,0), rv25=r25.reduce((s,d)=>s+d.Rev,0);
    const cb26=r26.reduce((s,d)=>s+d.Net_CB,0), rv26=r26.reduce((s,d)=>s+d.Rev,0);
    const p25=rv25>0?cb25/rv25*100:0, p26=rv26>0?cb26/rv26*100:0;
    return {totalCB,totalRev,pct,cb25,rv25,cb26,rv26,p25,p26,yoyD:p25>0?(p26-p25)/p25*100:0};
  }, [brand,lo,hi,categories]);

  // -- RETAILER CATEGORY PIES -----------------------------------------------
  const retailerPieData = useMemo(() => {
    // Revenue lookup: sum rev across filtered years per customer+brand
    const revMap = {};
    RAW_CUSTOMER.filter(d =>
      bMatch(d.Brand) &&
      ALL_PERIODS.some(p => p.year===d.Year && p.idx>=lo && p.idx<=hi)
    ).forEach(d => {
      revMap[d.Customer] = (revMap[d.Customer]||0) + (d.Rev||0);
    });

    const map = {};
    RAW_CAT_CUST.filter(d =>
      bMatch(d.Brand) &&
      ALL_PERIODS.some(p => p.year===d.Year && p.idx>=lo && p.idx<=hi)
    ).forEach(d => {
      if (!map[d.Customer]) map[d.Customer] = {Customer:d.Customer, cats:{}, total:0};
      map[d.Customer].cats[d.Category] = (map[d.Customer].cats[d.Category]||0) + d.Net_CB;
      map[d.Customer].total += d.Net_CB;
    });
    return Object.values(map)
      .filter(r => r.total > 0)
      .sort((a,b) => b.total - a.total)
      .map(r => {
        const rev = revMap[r.Customer] || 0;
        return {
          Customer: r.Customer,
          total: r.total,
          rev,
          slices: Object.entries(r.cats)
            .filter(([,v]) => v > 0)
            .sort(([,a],[,b]) => b - a)
            .map(([name, value]) => ({
              name,
              value,
              pct: rev > 0 ? value / rev * 100 : 0,
            })),
        };
      });
  }, [brand, lo, hi]);

  // -- CUSTOMER TABLE --------------------------------------------------------
  const custRows = useMemo(() => {
    // Use RAW_CAT_CUST when filtered, aggregate RAW_CUSTOMER otherwise
    const _allCats = categories[0]==="All";
    if (_allCats) {
      return RAW_CUSTOMER
        .filter(d=>bMatch(d.Brand)&&ALL_PERIODS.some(p=>p.year===d.Year&&p.idx>=lo&&p.idx<=hi))
        .filter(d=>custSearch===""||d.Customer.toLowerCase().includes(custSearch.toLowerCase()))
        .sort((a,b)=>sortCust==="Net_CB"?b.Net_CB-a.Net_CB:sortCust==="Pct"?(b.Rev>0?b.Pct:0)-(a.Rev>0?a.Pct:0):b.Rev-a.Rev);
    }
    // Aggregate RAW_CAT_CUST by customer for selected category
    const map = {};
    RAW_CAT_CUST.filter(d=>bMatch(d.Brand)&&categories.includes(d.Category)&&ALL_PERIODS.some(p=>p.year===d.Year&&p.idx>=lo&&p.idx<=hi)).forEach(d=>{
      const k=`${d.Brand}|${d.Customer}`;
      if(!map[k]) map[k]={Brand:d.Brand,Customer:d.Customer,Channel:d.Channel,Net_CB:0,Rev:0,Pct:0};
      map[k].Net_CB+=d.Net_CB;
    });
    // pull annual rev from RAW_CUSTOMER
    Object.values(map).forEach(r=>{
      const rev = RAW_CUSTOMER.filter(d=>d.Brand===r.Brand&&d.Customer===r.Customer).reduce((s,d)=>s+d.Rev,0);
      r.Rev = rev;
      r.Pct = rev>0?r.Net_CB/rev*100:0;
    });
    return Object.values(map)
      .filter(d=>custSearch===""||d.Customer.toLowerCase().includes(custSearch.toLowerCase()))
      .sort((a,b)=>sortCust==="Net_CB"?b.Net_CB-a.Net_CB:sortCust==="Pct"?(b.Rev>0?b.Pct:0)-(a.Rev>0?a.Pct:0):b.Rev-a.Rev);
  }, [brand,lo,hi,categories,custSearch,sortCust]);

  // \u2500\u2500 CUSTOMER TRENDLINE \u2500\u2500
  const custRevLookup = useMemo(() => {
    // Annual rev keyed by Brand|Year|Customer
    const lu={};
    RAW_CUSTOMER.forEach(d=>{ lu[`${d.Brand}|${d.Year}|${d.Customer}`]=d.Rev; });
    return lu;
  }, []);

  const custTrendData = useMemo(() => {
    // Build buckets of monthly CB; then attach the annual rev for each brand+year bucket
    // so Pct = (period CB) / (annual rev for that brand+year)
    const rows = RAW_CUST_MONTHLY
      .filter(d=>d.Customer===custTrendCust&&(custTrendBrand==="All"||d.Brand===custTrendBrand));
    const map = {};
    rows.forEach(d => {
      const p = ALL_PERIODS.find(p=>p.year===d.Year&&p.month===d.Month);
      if (!p || p.idx<lo || p.idx>hi) return;
      const bk = bucketKey(p, gran);
      if (!map[bk]) map[bk] = {bKey:bk, sortKey:p.idx, Net_CB_HF:0, Net_CB_LM:0, years:{}};
      else map[bk].sortKey = Math.min(map[bk].sortKey, p.idx);
      map[bk][`Net_CB_${d.Brand}`] = (map[bk][`Net_CB_${d.Brand}`]||0) + (d.Net_CB||0);
      // track which brand+years fall in this bucket (for rev lookup)
      if (!map[bk].years[d.Brand]) map[bk].years[d.Brand] = new Set();
      map[bk].years[d.Brand].add(d.Year);
    });
    return Object.values(map).sort((a,b)=>a.sortKey-b.sortKey).map(r => {
      const revHF = [...(r.years.HF||[])].reduce((s,yr)=>s+(custRevLookup[`HF|${yr}|${custTrendCust}`]||0),0);
      const revLM = [...(r.years.LM||[])].reduce((s,yr)=>s+(custRevLookup[`LM|${yr}|${custTrendCust}`]||0),0);
      return {...r,
        Rev_HF: revHF, Rev_LM: revLM,
        Pct_HF: revHF>0 ? r.Net_CB_HF/revHF*100 : null,
        Pct_LM: revLM>0 ? r.Net_CB_LM/revLM*100 : null,
      };
    });
  }, [custTrendCust,custTrendBrand,lo,hi,gran,custRevLookup]);

  const custList = useMemo(() => [...new Set(RAW_CUST_MONTHLY.map(d=>d.Customer))].sort(), []);

  // -- CHANNEL BAR --
  const chBarData = useMemo(() => {
    const map={};
    const _allCats = categories[0]==="All";
    const src = _allCats
      ? RAW_CHANNEL.filter(d=>bMatch(d.Brand)&&ALL_PERIODS.some(p=>p.year===d.Year&&p.idx>=lo&&p.idx<=hi))
      : RAW_CAT_CH.filter(d=>categories.includes(d.Category));
    src.forEach(d=>{
      const ch = d.Channel||d.channel;
      if(!map[ch]) map[ch]={channel:ch,Net_CB:0};
      map[ch].Net_CB+=d.Net_CB;
    });
    return Object.values(map).sort((a,b)=>b.Net_CB-a.Net_CB);
  }, [brand,lo,hi,categories]);

  // -- CHANNEL TRENDLINE --
  const chRevLookup = useMemo(() => {
    // Annual rev keyed by Brand|Year|Channel
    const lu={};
    RAW_CUSTOMER.forEach(d=>{ const k=`${d.Brand}|${d.Year}|${d.Channel}`; lu[k]=(lu[k]||0)+d.Rev; });
    return lu;
  }, []);

  const chTrendData = useMemo(() => {
    const rows = RAW_CH_MONTHLY
      .filter(d=>d.Channel===chTrendCh&&(chTrendBrand==="All"||d.Brand===chTrendBrand));
    const map = {};
    rows.forEach(d => {
      const p = ALL_PERIODS.find(p=>p.year===d.Year&&p.month===d.Month);
      if (!p || p.idx<lo || p.idx>hi) return;
      const bk = bucketKey(p, gran);
      if (!map[bk]) map[bk] = {bKey:bk, sortKey:p.idx, Net_CB_HF:0, Net_CB_LM:0, years:{}};
      else map[bk].sortKey = Math.min(map[bk].sortKey, p.idx);
      map[bk][`Net_CB_${d.Brand}`] = (map[bk][`Net_CB_${d.Brand}`]||0) + (d.Net_CB||0);
      if (!map[bk].years[d.Brand]) map[bk].years[d.Brand] = new Set();
      map[bk].years[d.Brand].add(d.Year);
    });
    return Object.values(map).sort((a,b)=>a.sortKey-b.sortKey).map(r => {
      const revHF = [...(r.years.HF||[])].reduce((s,yr)=>s+(chRevLookup[`HF|${yr}|${chTrendCh}`]||0),0);
      const revLM = [...(r.years.LM||[])].reduce((s,yr)=>s+(chRevLookup[`LM|${yr}|${chTrendCh}`]||0),0);
      return {...r,
        Rev_HF: revHF, Rev_LM: revLM,
        Pct_HF: revHF>0 ? r.Net_CB_HF/revHF*100 : null,
        Pct_LM: revLM>0 ? r.Net_CB_LM/revLM*100 : null,
      };
    });
  }, [chTrendCh,chTrendBrand,lo,hi,gran,chRevLookup]);

  // \u2500\u2500 HYPOTHESIS \u2500\u2500
  const hypCustomers = useMemo(() =>
    ["All",...new Set(RAW_HYP.map(d=>d.Customer))].sort((a,b)=>a==="All"?-1:b==="All"?1:a.localeCompare(b))
  , []);

  const hypBkts = useMemo(() => {
    const bm = b => hypBrand==="All"||b===hypBrand;
    const cm = c => hypCustomer==="All"||c===hypCustomer;
    const rows = RAW_HYP.filter(d=>bm(d.Brand)&&cm(d.Customer)&&periodInRange(d.Year,d.Month,lo,hi))
      .map(d=>({...d, Rev: d.Lag_Rev||0}));
    const map={};
    rows.forEach(d=>{
      const p=ALL_PERIODS.find(p=>p.year===d.Year&&p.month===d.Month);
      if(!p) return;
      const bk=bucketKey(p,gran);
      if(!map[bk]) map[bk]={bKey:bk,sortKey:p.idx,Net_CB_HF:0,Net_CB_LM:0,Rev_HF:0,Rev_LM:0};
      else map[bk].sortKey=Math.min(map[bk].sortKey,p.idx);
      map[bk][`Net_CB_${d.Brand}`]=(map[bk][`Net_CB_${d.Brand}`]||0)+d.Net_CB;
      if(d.Lag_Rev>0) map[bk][`Rev_${d.Brand}`]=(map[bk][`Rev_${d.Brand}`]||0)+d.Lag_Rev;
    });
    return Object.values(map)
      .sort((a,b)=>a.sortKey-b.sortKey)
      .map(r=>({...r,
        Pct_HF: r.Rev_HF>0&&r.Net_CB_HF!=null ? r.Net_CB_HF/r.Rev_HF*100 : null,
        Pct_LM: r.Rev_LM>0&&r.Net_CB_LM!=null ? r.Net_CB_LM/r.Rev_LM*100 : null,
      }));
  }, [hypBrand,hypCustomer,lo,hi,gran]);

  const hypSummary = useMemo(() => {
    const bm = b => hypBrand==="All"||b===hypBrand;
    const cm = c => hypCustomer==="All"||c===hypCustomer;
    const rows = RAW_HYP.filter(d=>bm(d.Brand)&&cm(d.Customer)&&periodInRange(d.Year,d.Month,lo,hi)&&d.Hyp_Pct!=null);
    const map={};
    rows.forEach(d=>{
      const k=`${d.Brand}|${d.Customer}`;
      if(!map[k]) map[k]={Brand:d.Brand,Customer:d.Customer,Net_CB:0,Lag_Rev:0};
      map[k].Net_CB+=d.Net_CB;
      map[k].Lag_Rev+=d.Lag_Rev;
    });
    return Object.values(map)
      .map(r=>({...r, Hyp_Pct: r.Lag_Rev>0?r.Net_CB/r.Lag_Rev*100:null}))
      .sort((a,b)=>b.Net_CB-a.Net_CB);
  }, [hypBrand,hypCustomer,lo,hi]);

  // Category filter bar
  const catFilterBar = (
    <div style={{display:"flex",gap:4,alignItems:"center",flexWrap:"wrap",marginTop:8}}>
      <span style={{fontSize:11,fontWeight:700,color:T.text2,flexShrink:0}}>CATEGORY</span>
      <Pill active={categories[0]==="All"} onClick={()=>toggleCat("All")} label="All"/>
      {ALL_CATS.map(c=>(
        <Pill key={c} active={categories[0]!=="All" && categories.includes(c)} onClick={()=>toggleCat(c)} label={c} color={CAT_COLORS[c]}/>
      ))}
    </div>
  );

  return (
    <div style={{fontFamily:"Inter,system-ui,sans-serif",background:T.bg,minHeight:"100vh",padding:"20px 24px"}}>

      {/* Header */}
      <div style={{display:"flex",alignItems:"flex-start",justifyContent:"space-between",marginBottom:14,flexWrap:"wrap",gap:10}}>
        <div>
          <h1 style={{margin:0,fontSize:20,fontWeight:800,color:T.text1}}>ALPHA - CSC Reporting</h1>
        </div>
        <div style={{display:"flex",gap:6,alignItems:"center",flexWrap:"wrap"}}>
          <button onClick={()=>setDark(d=>!d)} style={{padding:"4px 12px",borderRadius:20,fontSize:11,fontWeight:600,cursor:"pointer",border:"1.5px solid",borderColor:dark?"#475569":"#D1D5DB",background:dark?"#1E293B":"#fff",color:dark?"#94A3B8":"#374151",marginRight:8}}>{dark?"Light":"Dark"}</button>
          <span style={{fontSize:11,fontWeight:700,color:T.text2}}>BRAND</span>
          {[["All","All"],["HF","H&F"],["LM","L&M"]].map(([v,l])=><Pill key={v} active={brand===v} onClick={()=>setBrand(v)} label={l}/>)}
        </div>
      </div>

      {/* Date range + granularity */}
      <div style={{background:T.card,border:`1.5px solid ${T.border}`,borderRadius:10,padding:"14px 20px",marginBottom:14}}>
        <div style={{display:"flex",alignItems:"center",justifyContent:"space-between",marginBottom:8,flexWrap:"wrap",gap:8}}>
          <div style={{fontSize:12,fontWeight:700,color:T.text3}}>
            Date Range: <span style={{color:"#2563EB"}}>{rangeLabel}</span>
          </div>
          <div style={{display:"flex",gap:4,alignItems:"center"}}>
            <span style={{fontSize:11,fontWeight:700,color:T.text2}}>GROUP BY</span>
            {[["month","Month"],["quarter","Quarter"],["year","Year"]].map(([v,l])=><Pill key={v} active={gran===v} onClick={()=>setGran(v)} label={l}/>)}
          </div>
        </div>
        <RangeSlider lo={lo} hi={hi} setLo={setLo} setHi={setHi}/>
        <div style={{display:"flex",justifyContent:"space-between",marginTop:4}}>
          {[0, Math.round(MAX_IDX/3), Math.round(MAX_IDX*2/3), MAX_IDX].map(idx=>(
            <span key={idx} style={{fontSize:10,color:idx===lo||idx===hi?T.text3:T.muted,fontWeight:idx===lo||idx===hi?700:400}}>
              {ALL_PERIODS[idx].month} {ALL_PERIODS[idx].year}
            </span>
          ))}
        </div>
      </div>

      {/* KPIs */}
      <div style={{display:"flex",gap:10,marginBottom:16,flexWrap:"wrap"}}>
        <KPI label="Net Chargebacks" value={fmt$(kpiData.totalCB)} sub={rangeLabel}/>
        <KPI label="Gross Revenue" value={fmt$(kpiData.totalRev)} sub={rangeLabel}/>
        <KPI label="CB % of Revenue" value={fmtP(kpiData.pct)} hi={kpiData.pct>2?"red":"green"}/>
        <KPI label="2025 CB %" value={fmtP(kpiData.p25)} sub={`${fmt$(kpiData.cb25)} on ${fmt$(kpiData.rv25)} rev`}/>
        <KPI label="2026 YTD CB %" value={fmtP(kpiData.p26)} sub={`${fmt$(kpiData.cb26)} on ${fmt$(kpiData.rv26)} rev`} delta={kpiData.yoyD} hi={kpiData.p26>kpiData.p25?"red":"green"}/>
      </div>

      {/* Tabs */}
      <div style={{display:"flex",alignItems:"flex-end",marginBottom:0,flexWrap:"wrap",gap:2}}>

        {["perf_overview","perf_cuts","perf_callouts"].map((id,i)=>{
          const labels=["📊 Perf: Overview","📊 Perf: Cuts $","📊 Perf: Supply"];
          const on=tab===id;
          return <button key={id} onClick={()=>setTab(id)} style={{padding:"7px 16px",borderRadius:"8px 8px 0 0",fontSize:13,fontWeight:600,cursor:"pointer",border:"1.5px solid",borderColor:on?"#2563EB":"#BFDBFE",borderBottom:on?`2px solid ${T.tabActive}`:"1.5px solid #BFDBFE",background:on?"#EFF6FF":"#DBEAFE",color:on?"#1D4ED8":"#3B82F6",marginRight:2,whiteSpace:"nowrap"}}>{labels[i]}</button>;
        })}
        {(()=>{const on=tab==="retailer_view"; return <button onClick={()=>setTab("retailer_view")} style={{padding:"7px 16px",borderRadius:"8px 8px 0 0",fontSize:13,fontWeight:600,cursor:"pointer",border:"1.5px solid",borderColor:on?"#7C3AED":"#DDD6FE",borderBottom:on?`2px solid ${T.tabActive}`:"1.5px solid #DDD6FE",background:on?"#F5F3FF":"#EDE9FE",color:on?"#6D28D9":"#8B5CF6",marginRight:2,whiteSpace:"nowrap",marginLeft:4,marginRight:4}}>🏪 Retailer Scorecard</button>;})()}
        {[["trends","$ CB: Overview"],["customers","$ CB: Customer"],["channels","$ CB: Channel"],["recovery","$ CB: Revenue Recovery"],["askai","$ CB: Ask Me Anything"]].map(([id,label])=>{
          const on=tab===id;
          return <button key={id} onClick={()=>setTab(id)} style={{padding:"7px 16px",borderRadius:"8px 8px 0 0",fontSize:13,fontWeight:600,cursor:"pointer",border:"1.5px solid",borderColor:on?"#16A34A":"#BBF7D0",borderBottom:on?`2px solid ${T.tabActive}`:"1.5px solid #BBF7D0",background:on?"#F0FDF4":"#DCFCE7",color:on?"#15803D":"#22C55E",marginRight:2,whiteSpace:"nowrap"}}>{label}</button>;
        })}
        <button onClick={()=>setTab("hypothesis")} style={{padding:"7px 16px",borderRadius:"8px 8px 0 0",fontSize:13,fontWeight:600,cursor:"pointer",border:"1.5px solid",borderColor:tab==="hypothesis"?"#D97706":T.border,borderBottom:tab==="hypothesis"?`2px solid ${T.tabActive}`:`1.5px solid ${T.border}`,background:tab==="hypothesis"?"#FFFBEB":T.tabInactive,color:tab==="hypothesis"?"#92400E":T.muted,marginRight:2,whiteSpace:"nowrap",marginLeft:8}}>$ CB: * Hypothesis Testing</button>
        <div style={{flex:1}}/>
        {tab==="trends" && <div style={{paddingBottom:2}}><MetricToggle metric={metric} setMetric={setMetric}/></div>}
      </div>

      <div style={{background:T.card,border:`1.5px solid ${T.border}`,borderRadius:"0 10px 10px 10px",padding:20}}>

        {/* \u2550\u2550\u2550\u2550 TRENDS \u2550\u2550\u2550\u2550 */}
        {tab==="trends" && (
          <div>
            <Lbl>Monthly Net Chargebacks</Lbl>
            <ResponsiveContainer width="100%" height={300}>
              {metric==="$"
                ? <BarChart data={trendData} margin={{top:4,right:12,left:4,bottom:4}}>
                    <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
                    <XAxis dataKey="bKey" tick={{fontSize:10,fill:"#6B7280"}} angle={-25} textAnchor="end" height={45}/>
                    <YAxis tickFormatter={fmt$} tick={{fontSize:10}} width={68}/>
                    <Tooltip formatter={(v,n)=>[fmt$(v),n]}/>
                    <Legend wrapperStyle={{fontSize:12}}/>
                    <ReferenceLine y={0} stroke="#9CA3AF"/>
                    <Bar dataKey="Net_CB_HF" name="H&F" fill={BCOLORS.HF} radius={[3,3,0,0]} hide={hideHF}/>
                    <Bar dataKey="Net_CB_LM" name="L&M" fill={BCOLORS.LM} radius={[3,3,0,0]} hide={hideLM}/>
                  </BarChart>
                : <LineChart data={trendData} margin={{top:4,right:12,left:4,bottom:4}}>
                    <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
                    <XAxis dataKey="bKey" tick={{fontSize:10,fill:"#6B7280"}} angle={-25} textAnchor="end" height={45}/>
                    <YAxis tickFormatter={v=>`${(v||0).toFixed(1)}%`} tick={{fontSize:10}} width={52}/>
                    <Tooltip formatter={(v,n)=>[v!=null?`${v.toFixed(2)}%`:"\u2014",n]}/>
                    <Legend wrapperStyle={{fontSize:12}}/>
                    <ReferenceLine y={0} stroke="#9CA3AF"/>
                    <Line type="monotone" dataKey="Pct_HF" name="H&F % GR" stroke={BCOLORS.HF} strokeWidth={2.5} dot={{r:dotR}} connectNulls hide={hideHF}/>
                    <Line type="monotone" dataKey="Pct_LM" name="L&M % GR" stroke={BCOLORS.LM} strokeWidth={2.5} dot={{r:dotR}} connectNulls hide={hideLM}/>
                  </LineChart>
              }
            </ResponsiveContainer>

            {/* Retailer category pies */}
            {categories[0]==="All" && retailerPieData.length>0 && (
              <div style={{marginTop:24}}>
                <Lbl>Category Mix by Retailer - % of Gross Revenue</Lbl>
                <div style={{display:"grid",gridTemplateColumns:"repeat(auto-fill,minmax(180px,1fr))",gap:14}}>
                  {retailerPieData.map(({Customer,total,rev,slices})=>(
                    <div key={Customer} style={{border:"1px solid #E5E7EB",borderRadius:8,padding:"10px 12px",background:T.rowAlt}}>
                      <div style={{fontSize:11,fontWeight:700,color:T.text1,marginBottom:1}}>{Customer}</div>
                      <div style={{fontSize:10,color:T.text2,marginBottom:4}}>
                        {fmt$(total)} total{rev>0?` (${(total/rev*100).toFixed(2)}% of GR)`:""}
                      </div>
                      <ResponsiveContainer width="100%" height={130}>
                        <PieChart>
                          <Pie data={slices} cx="50%" cy="50%" outerRadius={52} dataKey="pct" labelLine={false}>
                            {slices.map((s,i)=>(
                              <Cell key={i} fill={CAT_COLORS[s.name]||"#9CA3AF"}/>
                            ))}
                          </Pie>
                          <Tooltip formatter={(v,n)=>[`${(+v).toFixed(2)}%`,n]}/>
                        </PieChart>
                      </ResponsiveContainer>
                      <div style={{display:"flex",flexDirection:"column",gap:2,marginTop:2}}>
                        {slices.slice(0,3).map((s,i)=>(
                          <div key={i} style={{display:"flex",justifyContent:"space-between",fontSize:10}}>
                            <span style={{display:"flex",alignItems:"center",gap:3}}>
                              <span style={{width:8,height:8,borderRadius:"50%",background:CAT_COLORS[s.name]||"#9CA3AF",flexShrink:0,display:"inline-block"}}/>
                              {s.name}
                            </span>
                            <span style={{fontWeight:600,color:T.text3}}>{rev>0?`${s.pct.toFixed(2)}%`:fmt$(s.value)}</span>
                          </div>
                        ))}
                      </div>
                    </div>
                  ))}
                </div>
                <div style={{fontSize:10,color:T.muted,marginTop:8}}>Pie size = category % of customer gross revenue. Retailers with no revenue data show $ amounts instead.</div>
              </div>
            )}
          </div>
        )}

        {/* \u2550\u2550\u2550\u2550 CUSTOMERS \u2550\u2550\u2550\u2550 */}
        {tab==="customers" && (
          <div>
            {/* Trendline */}
            <div style={{marginBottom:28,paddingBottom:24,borderBottom:`1.5px solid ${T.border}`}}>
              <div style={{display:"flex",alignItems:"center",justifyContent:"space-between",marginBottom:10,flexWrap:"wrap",gap:8}}>
                <Lbl style={{marginBottom:0}}>Customer Trendline{categories[0]!=="All"?` - ${categories.join(", ")}`:""}</Lbl>
                <MetricToggle metric={custTrendMetric} setMetric={setCustTrendMetric}/>
              </div>
              <div style={{display:"flex",gap:10,alignItems:"center",marginBottom:12,flexWrap:"wrap"}}>
                <span style={{fontSize:11,fontWeight:700,color:T.text2}}>CUSTOMER</span>
                <select value={custTrendCust} onChange={e=>setCustTrendCust(e.target.value)}
                  style={{padding:"5px 10px",borderRadius:8,border:"1.5px solid #D1D5DB",fontSize:12,color:T.text3,background:T.card}}>
                  {custList.map(c=><option key={c} value={c}>{c}</option>)}
                </select>
                
          <span style={{fontSize:11,fontWeight:700,color:T.text2}}>BRAND</span>
                {[["All","All"],["HF","H&F"],["LM","L&M"]].map(([v,l])=><Pill key={v} active={custTrendBrand===v} onClick={()=>setCustTrendBrand(v)} label={l}/>)}
              </div>
              <TrendChart key={categories.join(",")} data={custTrendData} metric={custTrendMetric} hideHF={custTrendBrand==="LM"} hideLM={custTrendBrand==="HF"} height={240} gran={gran}/>
              {custTrendMetric==="%" && <div style={{fontSize:10,color:T.muted,marginTop:4}}>% = period CB \u00f7 annual revenue for that customer. Multi-year ranges sum both CB and rev.</div>}
              {categories[0]!=="All" && <div style={{fontSize:10,color:T.muted,marginTop:2}}>Note: trendline shows all categories for selected customer; category filter applies to summary table below.</div>}
            </div>
            {/* Table controls */}
            <div style={{display:"flex",gap:10,marginBottom:14,alignItems:"center",flexWrap:"wrap"}}>
              <input placeholder="Search customer\u2026" value={custSearch} onChange={e=>setCustSearch(e.target.value)}
                style={{padding:"6px 11px",borderRadius:8,border:"1.5px solid #D1D5DB",fontSize:13,width:200,outline:"none"}}/>
              <span style={{fontSize:11,fontWeight:700,color:T.text2}}>SORT</span>
              {[["Net_CB","$ CB"],["Pct","% Rev"],["Rev","Revenue"]].map(([v,l])=><Pill key={v} active={sortCust===v} onClick={()=>setSortCust(v)} label={l}/>)}
            </div>
            {/* Bar */}
            <div style={{marginBottom:20}}>
              <div style={{fontSize:12,fontWeight:700,color:T.text3,marginBottom:8}}>Top Customers by Net Chargebacks{categories[0]!=="All"?` (${categories.join(", ")})`:""}</div>
              <ResponsiveContainer key={categories.join(",")} width="100%" height={Math.max(200,Math.min(custRows.length,15)*30)}>
                <BarChart data={custRows.slice(0,15)} layout="vertical" margin={{top:4,right:60,left:0,bottom:4}}>
                  <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"} horizontal={false}/>
                  <XAxis type="number" tickFormatter={fmt$} tick={{fontSize:10}}/>
                  <YAxis type="category" dataKey="Customer" tick={{fontSize:11}} width={155}/>
                  <Tooltip formatter={v=>[fmt$(v),"Net CB"]}/>
                  <ReferenceLine x={0} stroke="#9CA3AF"/>
                  <Bar dataKey="Net_CB" radius={[0,3,3,0]}>
                    {custRows.slice(0,15).map((r,i)=><Cell key={i} fill={categories[0]!=="All"?(CAT_COLORS[categories[0]]||"#6B7280"):(BCOLORS[r.Brand]||"#6B7280")} fillOpacity={r.Net_CB<0?0.45:0.85}/>)}
                  </Bar>
                </BarChart>
              </ResponsiveContainer>
            </div>
            {/* Table */}
            <div style={{overflowX:"auto"}}>
              <table style={{width:"100%",borderCollapse:"collapse",fontSize:12}}>
                <thead>
                  <tr style={{borderBottom:`2px solid ${T.border}`}}>
                    {["Brand","Customer","Channel","Net CB ($)","Revenue","CB % Rev"].map(h=>(
                      <th key={h} style={{textAlign:["Net CB ($)","Revenue","CB % Rev"].includes(h)?"right":"left",padding:"7px 10px",fontWeight:700,color:T.text3,fontSize:11,textTransform:"uppercase",letterSpacing:"0.04em"}}>{h}</th>
                    ))}
                  </tr>
                </thead>
                <tbody>
                  {custRows.slice(0,50).map((r,i)=>{
                    const flag = r.Rev>0&&r.Pct>3;
                    return (
                      <tr key={i} style={{borderBottom:`1px solid ${T.border}`,background:i%2===0?T.rowAlt:T.rowBase}}>
                        <td style={{padding:"6px 10px"}}><span style={{background:BLIGHT[r.Brand],color:BCOLORS[r.Brand],fontWeight:700,fontSize:10,borderRadius:4,padding:"2px 6px"}}>{BLABEL[r.Brand]}</span></td>
                        <td style={{padding:"6px 10px",fontWeight:600,color:T.text1}}>{r.Customer}</td>
                        <td style={{padding:"6px 10px"}}><span style={{background:(CH_COLORS[r.Channel]||"#9CA3AF")+"22",color:CH_COLORS[r.Channel]||"#6B7280",fontWeight:600,fontSize:10,borderRadius:4,padding:"2px 6px"}}>{r.Channel}</span></td>
                        <td style={{padding:"6px 10px",textAlign:"right",fontWeight:700,color:r.Net_CB<0?"#16A34A":T.text1}}>{fmt$(r.Net_CB)}</td>
                        <td style={{padding:"6px 10px",textAlign:"right",color:T.text3}}>{r.Rev>0?fmt$(r.Rev):"\u2014"}</td>
                        <td style={{padding:"6px 10px",textAlign:"right",fontWeight:700,color:flag?"#DC2626":r.Net_CB<0?"#16A34A":T.text3}}>{r.Rev>0?fmtP(r.Pct):"\u2014"}{flag?" \u26a0":""}</td>
                      </tr>
                    );
                  })}
                </tbody>
              </table>
              {custRows.length>50 && <div style={{textAlign:"center",padding:8,color:T.text2,fontSize:11}}>Showing 50 of {custRows.length}</div>}
            </div>
          </div>
        )}

        {/* \u2550\u2550\u2550\u2550 CHANNELS \u2550\u2550\u2550\u2550 */}
        {tab==="channels" && (
          <div>
            <div style={{height:16}}/>
            {/* Trendline */}
            <div style={{marginBottom:28,paddingBottom:24,borderBottom:`1.5px solid ${T.border}`}}>
              <div style={{display:"flex",alignItems:"center",justifyContent:"space-between",marginBottom:10,flexWrap:"wrap",gap:8}}>
                <Lbl style={{marginBottom:0}}>Channel Trendline{categories[0]!=="All"?` - ${categories.join(", ")}`:""}</Lbl>
                <MetricToggle metric={chTrendMetric} setMetric={setChTrendMetric}/>
              </div>
              <div style={{display:"flex",gap:10,alignItems:"center",marginBottom:12,flexWrap:"wrap"}}>
                <span style={{fontSize:11,fontWeight:700,color:T.text2}}>CHANNEL</span>
                <select value={chTrendCh} onChange={e=>setChTrendCh(e.target.value)}
                  style={{padding:"5px 10px",borderRadius:8,border:"1.5px solid #D1D5DB",fontSize:12,color:T.text3,background:T.card}}>
                  {ALL_CHANNELS.map(c=><option key={c} value={c}>{c}</option>)}
                </select>
                
          <span style={{fontSize:11,fontWeight:700,color:T.text2}}>BRAND</span>
                {[["All","All"],["HF","H&F"],["LM","L&M"]].map(([v,l])=><Pill key={v} active={chTrendBrand===v} onClick={()=>setChTrendBrand(v)} label={l}/>)}
              </div>
              <TrendChart key={categories.join(",")} data={chTrendData} metric={chTrendMetric} hideHF={chTrendBrand==="LM"} hideLM={chTrendBrand==="HF"} height={250} gran={gran}/>
              {chTrendMetric==="%" && <div style={{fontSize:10,color:T.muted,marginTop:4}}>% = period CB \u00f7 annual revenue for that channel. Multi-year ranges sum both CB and rev.</div>}
            </div>
            {/* Bar + table */}
            <div style={{display:"flex",gap:20,flexWrap:"wrap"}}>
              <div style={{flex:"2 1 360px"}}>
                <Lbl>Net Chargebacks by Channel{categories[0]!=="All"?` - ${categories.join(", ")}`:""}</Lbl>
                <ResponsiveContainer key={categories.join(",")} width="100%" height={280}>
                  <BarChart data={chBarData} margin={{top:4,right:12,left:4,bottom:4}}>
                    <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
                    <XAxis dataKey="channel" tick={{fontSize:11,fill:"#374151"}}/>
                    <YAxis tickFormatter={fmt$} tick={{fontSize:10}} width={68}/>
                    <Tooltip formatter={v=>[fmt$(v),"Net CB"]}/>
                    <ReferenceLine y={0} stroke="#9CA3AF"/>
                    <Bar dataKey="Net_CB" radius={[4,4,0,0]}>
                      {chBarData.map((r,i)=><Cell key={i} fill={categories[0]!=="All"?(CAT_COLORS[categories[0]]||"#9CA3AF"):(CH_COLORS[r.channel]||"#9CA3AF")} fillOpacity={r.Net_CB<0?0.4:0.85}/>)}
                    </Bar>
                  </BarChart>
                </ResponsiveContainer>
              </div>
              <div style={{flex:"1 1 220px"}}>
                <Lbl>Channel \u00d7 Category Breakdown</Lbl>
                <div style={{overflowY:"auto",maxHeight:280}}>
                  <table style={{width:"100%",borderCollapse:"collapse",fontSize:11}}>
                    <thead>
                      <tr style={{borderBottom:`2px solid ${T.border}`}}>
                        <th style={{textAlign:"left",padding:"5px 8px",fontWeight:700,fontSize:10,textTransform:"uppercase"}}>Channel</th>
                        <th style={{textAlign:"left",padding:"5px 8px",fontWeight:700,fontSize:10,textTransform:"uppercase"}}>Category</th>
                        <th style={{textAlign:"right",padding:"5px 8px",fontWeight:700,fontSize:10,textTransform:"uppercase"}}>Net CB</th>
                      </tr>
                    </thead>
                    <tbody>
                      {RAW_CAT_CH
                        .filter(r=>categories[0]==="All"||categories.includes(r.Category))
                        .sort((a,b)=>b.Net_CB-a.Net_CB)
                        .slice(0,40)
                        .map((r,i)=>(
                        <tr key={i} style={{borderBottom:`1px solid ${T.border}`,background:i%2===0?T.rowAlt:T.rowBase}}>
                          <td style={{padding:"4px 8px"}}><span style={{background:(CH_COLORS[r.Channel]||"#9CA3AF")+"22",color:CH_COLORS[r.Channel]||"#6B7280",fontWeight:600,fontSize:10,borderRadius:3,padding:"1px 5px"}}>{r.Channel}</span></td>
                          <td style={{padding:"4px 8px"}}><span style={{background:(CAT_COLORS[r.Category]||"#9CA3AF")+"22",color:CAT_COLORS[r.Category]||"#6B7280",fontWeight:600,fontSize:10,borderRadius:3,padding:"1px 5px"}}>{r.Category}</span></td>
                          <td style={{padding:"4px 8px",textAlign:"right",fontWeight:700,color:r.Net_CB<0?"#16A34A":T.text1}}>{fmt$(r.Net_CB)}</td>
                        </tr>
                      ))}
                    </tbody>
                  </table>
                </div>
              </div>
            </div>
          </div>
        )}

        {/* \u2550\u2550\u2550\u2550 REVENUE RECOVERY \u2550\u2550\u2550\u2550 */}
        {tab==="recovery" && (() => {
          const brandR = brand==="HF"?"H&F":brand==="LM"?"L&M":brand;
          const bMatchR = b => brand==="All" || b===brandR;
          const inRangeR = (yr, mo) => { const p=ALL_PERIODS.find(p=>p.year===yr&&p.month===mo); return p&&p.idx>=lo&&p.idx<=hi; };
          const monthlyRows = RAW_RECOVERY_MONTHLY.filter(d=>bMatchR(d.Brand)&&inRangeR(d.Year,d.Month));
          const trendMap={};
          monthlyRows.forEach(d=>{
            const p=ALL_PERIODS.find(p=>p.year===d.Year&&p.month===d.Month);
            if(!p) return;
            const bk=bucketKey(p,gran);
            if(!trendMap[bk]) trendMap[bk]={bKey:bk,sortKey:p.idx,Gross_CB:0,Reversals:0};
            trendMap[bk].Gross_CB+=d.Gross_CB; trendMap[bk].Reversals+=d.Reversals;
          });
          const trendRows=Object.values(trendMap).sort((a,b)=>a.sortKey-b.sortKey).map(r=>({...r,
            Gross_CB_abs:Math.abs(r.Gross_CB),
            Recovery_Rate:r.Gross_CB!==0?r.Reversals/Math.abs(r.Gross_CB)*100:0,
          }));
          const catMap={};
          RAW_RECOVERY_CAT.filter(d=>bMatchR(d.Brand)&&inRangeR(d.Year,d.Month)).forEach(d=>{
            if(!catMap[d.Category]) catMap[d.Category]={Category:d.Category,Gross_CB:0,Reversals:0};
            catMap[d.Category].Gross_CB+=d.Gross_CB; catMap[d.Category].Reversals+=d.Reversals;
          });
          const catRows=Object.values(catMap).map(r=>({...r,
            Gross_CB_abs:Math.abs(r.Gross_CB),Net_CB:r.Gross_CB+r.Reversals,
            Recovery_Rate:r.Gross_CB!==0?r.Reversals/Math.abs(r.Gross_CB)*100:0,
          })).sort((a,b)=>b.Gross_CB_abs-a.Gross_CB_abs);
          const custMap={};
          RAW_RECOVERY_CUST.filter(d=>bMatchR(d.Brand)&&ALL_PERIODS.some(p=>p.year===d.Year&&p.idx>=lo&&p.idx<=hi)).forEach(d=>{
            const k=`${d.Brand}|${d.Customer}`;
            if(!custMap[k]) custMap[k]={Brand:d.Brand,Customer:d.Customer,Gross_CB:0,Reversals:0};
            custMap[k].Gross_CB+=d.Gross_CB; custMap[k].Reversals+=d.Reversals;
          });
          const custRows2=Object.values(custMap).map(r=>({...r,
            Gross_CB_abs:Math.abs(r.Gross_CB),Net_CB:r.Gross_CB+r.Reversals,
            Recovery_Rate:r.Gross_CB!==0?r.Reversals/Math.abs(r.Gross_CB)*100:0,
          })).sort((a,b)=>b.Gross_CB_abs-a.Gross_CB_abs);
          const totalGross=Math.abs(monthlyRows.reduce((s,d)=>s+d.Gross_CB,0));
          const totalRev=monthlyRows.reduce((s,d)=>s+d.Reversals,0);
          const totalNet=monthlyRows.reduce((s,d)=>s+d.Net_CB,0);
          const overallRate=totalGross>0?totalRev/totalGross*100:0;
          const rateColor=r=>r>=50?"#16A34A":r>=25?"#D97706":"#DC2626";
          return (
            <div>
              <div style={{display:"flex",alignItems:"center",gap:6,marginBottom:16,flexWrap:"wrap"}}>
                
          <span style={{fontSize:11,fontWeight:700,color:T.text2}}>BRAND</span>
                {[["All","All"],["HF","H&F"],["LM","L&M"]].map(([v,l])=><Pill key={v} active={brand===v} onClick={()=>setBrand(v)} label={l}/>)}
              </div>
              <div style={{display:"flex",gap:12,flexWrap:"wrap",marginBottom:24}}>
                {[{label:"Gross Chargebacks",value:fmt$(totalGross),sub:"before reversals",color:"#DC2626"},
                  {label:"Total Reversals",value:fmt$(totalRev),sub:"recovered",color:"#16A34A"},
                  {label:"Net Chargebacks",value:fmt$(Math.abs(totalNet)),sub:"after reversals",color:"#2563EB"},
                  {label:"Recovery Rate",value:`${overallRate.toFixed(1)}%`,sub:"reversals / gross CB",color:rateColor(overallRate)},
                ].map(({label,value,sub,color})=>(
                  <div key={label} style={{flex:"1 1 160px",background:T.card,border:`1.5px solid ${T.border}`,borderRadius:10,padding:"14px 18px",borderTop:`3px solid ${color}`}}>
                    <div style={{fontSize:11,fontWeight:700,color:T.text2,textTransform:"uppercase",letterSpacing:"0.04em",marginBottom:4}}>{label}</div>
                    <div style={{fontSize:22,fontWeight:800,color:T.text1}}>{value}</div>
                    <div style={{fontSize:11,color:T.muted,marginTop:2}}>{sub}</div>
                  </div>
                ))}
              </div>
              <div style={{marginBottom:28}}>
                <Lbl>Gross Chargebacks vs Reversals</Lbl>
                <ResponsiveContainer width="100%" height={280}>
                  <BarChart data={trendRows} margin={{top:4,right:12,left:4,bottom:4}}>
                    <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
                    <XAxis dataKey="bKey" tick={{fontSize:10,fill:"#6B7280"}} angle={-25} textAnchor="end" height={45}/>
                    <YAxis tickFormatter={fmt$} tick={{fontSize:10}} width={72}/>
                    <Tooltip formatter={(v,n)=>[fmt$(v),n]}/>
                    <Legend wrapperStyle={{fontSize:11}}/>
                    <Bar dataKey="Gross_CB_abs" name="Gross CB" fill="#FCA5A5" radius={[3,3,0,0]}/>
                    <Bar dataKey="Reversals" name="Reversals" fill="#86EFAC" radius={[3,3,0,0]}/>
                  </BarChart>
                </ResponsiveContainer>
              </div>
              <div style={{marginBottom:28}}>
                <Lbl>Recovery Rate % by Period</Lbl>
                <ResponsiveContainer width="100%" height={200}>
                  <LineChart data={trendRows} margin={{top:4,right:12,left:4,bottom:4}}>
                    <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
                    <XAxis dataKey="bKey" tick={{fontSize:10,fill:"#6B7280"}} angle={-25} textAnchor="end" height={45}/>
                    <YAxis tickFormatter={v=>`${v.toFixed(0)}%`} tick={{fontSize:10}} width={44} domain={[0,110]}/>
                    <Tooltip formatter={v=>[`${v.toFixed(1)}%`,"Recovery Rate"]}/>
                    <ReferenceLine y={50} stroke="#D97706" strokeDasharray="4 4" label={{value:"50%",fontSize:10,fill:"#D97706",position:"right"}}/>
                    <Line type="monotone" dataKey="Recovery_Rate" name="Recovery Rate" stroke="#7C3AED" strokeWidth={2} dot={{r:4}} connectNulls/>
                  </LineChart>
                </ResponsiveContainer>
              </div>
              <div style={{display:"flex",gap:20,flexWrap:"wrap"}}>
                <div style={{flex:"1 1 340px"}}>
                  <Lbl>By Category</Lbl>
                  <table style={{width:"100%",borderCollapse:"collapse",fontSize:12}}>
                    <thead><tr style={{borderBottom:`2px solid ${T.border}`}}>
                      {["Category","Gross CB","Reversals","Net CB","Recovery %"].map(h=>(
                        <th key={h} style={{textAlign:h==="Category"?"left":"right",padding:"6px 8px",fontWeight:700,color:T.text3,fontSize:10,textTransform:"uppercase"}}>{h}</th>
                      ))}
                    </tr></thead>
                    <tbody>{catRows.map((r,i)=>(
                      <tr key={i} style={{borderBottom:`1px solid ${T.border}`,background:i%2===0?T.rowAlt:T.rowBase}}>
                        <td style={{padding:"5px 8px"}}><span style={{background:(CAT_COLORS[r.Category]||"#9CA3AF")+"22",color:CAT_COLORS[r.Category]||"#6B7280",fontWeight:600,fontSize:10,borderRadius:3,padding:"2px 5px"}}>{r.Category}</span></td>
                        <td style={{padding:"5px 8px",textAlign:"right",color:"#DC2626",fontWeight:600}}>{fmt$(r.Gross_CB_abs)}</td>
                        <td style={{padding:"5px 8px",textAlign:"right",color:"#16A34A",fontWeight:600}}>{fmt$(r.Reversals)}</td>
                        <td style={{padding:"5px 8px",textAlign:"right",fontWeight:700}}>{fmt$(Math.abs(r.Net_CB))}</td>
                        <td style={{padding:"5px 8px",textAlign:"right",fontWeight:700,color:rateColor(r.Recovery_Rate)}}>{r.Recovery_Rate.toFixed(1)}%</td>
                      </tr>
                    ))}</tbody>
                  </table>
                </div>
                <div style={{flex:"1 1 400px"}}>
                  <Lbl>By Customer</Lbl>
                  <div style={{overflowY:"auto",maxHeight:500}}>
                    <table style={{width:"100%",borderCollapse:"collapse",fontSize:12}}>
                      <thead><tr style={{borderBottom:`2px solid ${T.border}`}}>
                        {["Brand","Customer","Gross CB","Reversals","Net CB","Recovery %"].map(h=>(
                          <th key={h} style={{textAlign:["Brand","Customer"].includes(h)?"left":"right",padding:"6px 8px",fontWeight:700,color:T.text3,fontSize:10,textTransform:"uppercase"}}>{h}</th>
                        ))}
                      </tr></thead>
                      <tbody>{custRows2.map((r,i)=>(
                        <tr key={i} style={{borderBottom:`1px solid ${T.border}`,background:i%2===0?T.rowAlt:T.rowBase}}>
                          <td style={{padding:"5px 8px"}}><span style={{background:BLIGHT[r.Brand==="H&F"?"HF":"LM"]||"#F3F4F6",color:BCOLORS[r.Brand==="H&F"?"HF":"LM"]||"#6B7280",fontWeight:700,fontSize:10,borderRadius:4,padding:"2px 6px"}}>{r.Brand}</span></td>
                          <td style={{padding:"5px 8px",fontWeight:600,color:T.text1}}>{r.Customer}</td>
                          <td style={{padding:"5px 8px",textAlign:"right",color:"#DC2626",fontWeight:600}}>{fmt$(r.Gross_CB_abs)}</td>
                          <td style={{padding:"5px 8px",textAlign:"right",color:"#16A34A",fontWeight:600}}>{fmt$(r.Reversals)}</td>
                          <td style={{padding:"5px 8px",textAlign:"right",fontWeight:700}}>{fmt$(Math.abs(r.Net_CB))}</td>
                          <td style={{padding:"5px 8px",textAlign:"right",fontWeight:700,color:rateColor(r.Recovery_Rate)}}>{r.Recovery_Rate.toFixed(1)}%</td>
                        </tr>
                      ))}</tbody>
                    </table>
                  </div>
                </div>
              </div>
            </div>
          );
        })()}

        {/* \u2550\u2550\u2550\u2550 HYPOTHESIS \u2550\u2550\u2550\u2550 */}
        {tab==="hypothesis" && (
          <div>
            <div style={{background:dark?"#1E3A5F":"#EFF6FF",border:`1.5px solid ${dark?"#1E40AF":"#BFDBFE"}`,borderRadius:8,padding:"10px 14px",marginBottom:18}}>
              <div style={{fontSize:12,fontWeight:700,color:"#1D4ED8",marginBottom:3}}>Rolling Lag Hypothesis</div>
              <div style={{fontSize:11,color:"#1E40AF",lineHeight:1.6}}>Each month's chargeback $ is divided by revenue from 3 months prior (M\u22123) to test whether CBs correlate with a lagged billing cycle. Revenue is pulled at the individual customer \u00d7 brand \u00d7 month level from the FPA P&amp;L.</div>
            </div>
            <div style={{display:"flex",gap:10,alignItems:"center",marginBottom:16,flexWrap:"wrap"}}>
              <span style={{fontSize:11,fontWeight:700,color:T.text2}}>CUSTOMER</span>
              <select value={hypCustomer} onChange={e=>setHypCustomer(e.target.value)}
                style={{padding:"5px 10px",borderRadius:8,border:"1.5px solid #D1D5DB",fontSize:12,color:T.text3,background:T.card}}>
                {hypCustomers.map(c=><option key={c} value={c}>{c}</option>)}
              </select>
              
          <span style={{fontSize:11,fontWeight:700,color:T.text2}}>BRAND</span>
              {[["All","All"],["HF","H&F"],["LM","L&M"]].map(([v,l])=><Pill key={v} active={hypBrand===v} onClick={()=>setHypBrand(v)} label={l}/>)}
            </div>
            <Lbl>CB % of 3-Month Lagged Revenue</Lbl>
            <ResponsiveContainer width="100%" height={270}>
              <LineChart data={hypBkts} margin={{top:4,right:12,left:4,bottom:4}}>
                <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
                <XAxis dataKey="bKey" tick={{fontSize:10,fill:"#6B7280"}} angle={-25} textAnchor="end" height={45}/>
                <YAxis tickFormatter={v=>v!=null?`${v.toFixed(1)}%`:"\u2014"} tick={{fontSize:10}} width={52}/>
                <Tooltip formatter={(v,n)=>[v!=null?`${v.toFixed(2)}%`:"\u2014",n]}/>
                <Legend wrapperStyle={{fontSize:12}}/>
                <ReferenceLine y={0} stroke="#9CA3AF"/>
                <Line type="monotone" dataKey="Pct_HF" name="H&F % Lag Rev" stroke={BCOLORS.HF} strokeWidth={2} dot={{r:dotR}} connectNulls hide={hypBrand==="LM"}/>
                <Line type="monotone" dataKey="Pct_LM" name="L&M % Lag Rev" stroke={BCOLORS.LM} strokeWidth={2} dot={{r:dotR}} connectNulls hide={hypBrand==="HF"}/>
              </LineChart>
            </ResponsiveContainer>
            <div style={{marginTop:24}}>
              <Lbl>Net CB $ vs 3-Month Lagged Revenue</Lbl>
              <ResponsiveContainer width="100%" height={270}>
                <ComposedChart data={hypBkts} margin={{top:4,right:16,left:4,bottom:4}}>
                  <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
                  <XAxis dataKey="bKey" tick={{fontSize:10,fill:"#6B7280"}} angle={-25} textAnchor="end" height={45}/>
                  <YAxis yAxisId="cb"  tickFormatter={fmt$} tick={{fontSize:10}} width={68}/>
                  <YAxis yAxisId="rev" orientation="right" tickFormatter={fmt$} tick={{fontSize:10}} width={72}/>
                  <Tooltip formatter={(v,n)=>[fmt$(v),n]}/>
                  <Legend wrapperStyle={{fontSize:12}}/>
                  <ReferenceLine yAxisId="cb" y={0} stroke="#9CA3AF"/>
                  <Bar yAxisId="cb" dataKey="Net_CB_HF" name="H&F CB $"    fill={BCOLORS.HF} fillOpacity={0.85} radius={[2,2,0,0]} hide={hypBrand==="LM"}/>
                  <Bar yAxisId="cb" dataKey="Net_CB_LM" name="L&M CB $"    fill={BCOLORS.LM} fillOpacity={0.85} radius={[2,2,0,0]} hide={hypBrand==="HF"}/>
                  <Line yAxisId="rev" type="monotone" dataKey="Rev_HF" name="H&F Lag Rev" stroke={BCOLORS.HF} strokeWidth={1.5} strokeDasharray="5 3" dot={false} connectNulls hide={hypBrand==="LM"}/>
                  <Line yAxisId="rev" type="monotone" dataKey="Rev_LM" name="L&M Lag Rev" stroke={BCOLORS.LM} strokeWidth={1.5} strokeDasharray="5 3" dot={false} connectNulls hide={hypBrand==="HF"}/>
                </ComposedChart>
              </ResponsiveContainer>
              <div style={{fontSize:10,color:T.muted,marginTop:4}}>Bars = CB $ (left axis). Dashed lines = 3-month lagged revenue (right axis).</div>
            </div>
            <div style={{marginTop:28,borderTop:"1.5px solid #F3F4F6",paddingTop:20}}>
              <Lbl>Summary by Customer</Lbl>
              <div style={{overflowX:"auto"}}>
                <table style={{width:"100%",borderCollapse:"collapse",fontSize:12}}>
                  <thead>
                    <tr style={{borderBottom:`2px solid ${T.border}`}}>
                      {["Brand","Customer","Net CB ($)","Lagged Rev (M\u22123)","CB % Lag Rev","Signal"].map(h=>(
                        <th key={h} style={{textAlign:["Net CB ($)","Lagged Rev (M\u22123)","CB % Lag Rev"].includes(h)?"right":"left",padding:"7px 10px",fontWeight:700,color:T.text3,fontSize:11,textTransform:"uppercase",letterSpacing:"0.04em"}}>{h}</th>
                      ))}
                    </tr>
                  </thead>
                  <tbody>
                    {hypSummary.map((r,i)=>{
                      const pct = r.Hyp_Pct;
                      const isHi  = pct!=null && pct>3;
                      const isMid = pct!=null && pct>1.5 && pct<=3;
                      const isNeg = r.Net_CB < 0;
                      const signal   = isNeg?"\u2713 Reversal":isHi?"\u26a0 Elevated":isMid?"\u25b3 Monitor":"\u2713 Normal";
                      const sigColor = isNeg?"#16A34A":isHi?"#DC2626":isMid?"#D97706":"#16A34A";
                      return (
                        <tr key={i} style={{borderBottom:`1px solid ${T.border}`,background:i%2===0?T.rowAlt:T.rowBase}}>
                          <td style={{padding:"6px 10px"}}><span style={{background:BLIGHT[r.Brand],color:BCOLORS[r.Brand],fontWeight:700,fontSize:10,borderRadius:4,padding:"2px 6px"}}>{BLABEL[r.Brand]}</span></td>
                          <td style={{padding:"6px 10px",fontWeight:600,color:T.text1}}>{r.Customer}</td>
                          <td style={{padding:"6px 10px",textAlign:"right",fontWeight:700,color:r.Net_CB<0?"#16A34A":T.text1}}>{fmt$(r.Net_CB)}</td>
                          <td style={{padding:"6px 10px",textAlign:"right",color:T.text3}}>{r.Lag_Rev>0?fmt$(r.Lag_Rev):"\u2014"}</td>
                          <td style={{padding:"6px 10px",textAlign:"right",fontWeight:700,color:isHi?"#DC2626":isMid?"#D97706":isNeg?"#16A34A":"#374151"}}>{pct!=null?fmtP(pct):"\u2014"}</td>
                          <td style={{padding:"6px 10px"}}><span style={{fontSize:11,fontWeight:700,color:sigColor}}>{signal}</span></td>
                        </tr>
                      );
                    })}
                  </tbody>
                </table>
              </div>
              <div style={{fontSize:10,color:T.muted,marginTop:6}}>Lagged rev = cumulative M\u22123 revenue. \u26a0 Elevated = lag % &gt; 3%. \u25b3 Monitor = 1.5\u20133%.</div>
            </div>
          </div>
        )}

        {tab==="askai" && (
          <AskAI
            rawMonthly={RAW_MONTHLY}
            rawCustomer={RAW_CUSTOMER}
            rawChannel={RAW_CHANNEL}
            rawCatMonthly={RAW_CAT_MONTHLY}
            rawCatCust={RAW_CAT_CUST}
            rawCatCh={RAW_CAT_CH}
          />
        )}

      </div>

      {/* ══════════════ PERF: OVERVIEW TAB (from CSC Performance Dashboard) ══════════════ */}
      {tab==="perf_overview" && (
        <div style={{background:T.card,border:`1.5px solid ${T.border}`,borderRadius:"0 10px 10px 10px",padding:20}}>
          {/* Header */}
          <div style={{display:"flex",justifyContent:"space-between",alignItems:"flex-start",marginBottom:16,flexWrap:"wrap",gap:8}}>
            <div>
              <div style={{fontSize:17,fontWeight:800,color:T.text1}}>CSC Performance Dashboard</div>
              <div style={{fontSize:11,color:T.text2,marginTop:2}}>Global product availability · Actualized data · Week of June 22, 2026</div>
            </div>
          </div>

          {/* KPI row */}
          <div style={{display:"flex",gap:8,flexWrap:"wrap",marginBottom:18}}>
            {[
              {label:"Actualized In-Full",   value:"96.0%", cls:"warn", sub:"$612K in cuts · wk Jun 15"},
              {label:"Actualized On-Time",   value:"90.1%", cls:"bad",  sub:"Up from 83.0% prior wk"},
              {label:"Actualized OTIF",      value:"86.5%", cls:"bad",  sub:"Up from 80.8% prior wk"},
              {label:"Jun 22 Projected In-Full", value:"94.9%", cls:"bad",  sub:"$467K projected cuts"},
            ].map(k=>(
              <div key={k.label} style={{background:T.card,border:`1px solid ${T.border}`,borderRadius:8,padding:"10px 14px",flex:"1",minWidth:130}}>
                <div style={{fontSize:9,fontWeight:700,color:T.text2,textTransform:"uppercase",letterSpacing:".06em",marginBottom:2}}>{k.label}</div>
                <div style={{fontSize:20,fontWeight:800,color:k.cls==="bad"?"#DC2626":k.cls==="warn"?"#D97706":"#059669"}}>{k.value}</div>
                <div style={{fontSize:10,color:T.text2,marginTop:1}}>{k.sub}</div>
              </div>
            ))}
          </div>

          {/* Section: Retail */}
          <div style={{display:"flex",alignItems:"center",gap:10,margin:"20px 0 12px"}}>
            <span style={{fontSize:13}}>🛒</span>
            <span style={{fontSize:10,fontWeight:700,color:T.text3,textTransform:"uppercase",letterSpacing:".08em",whiteSpace:"nowrap"}}>Retail</span>
            <div style={{flex:1,borderTop:`1.5px solid ${T.border}`}}/>
          </div>

          {/* Retail OTIF chart */}
          <div style={{fontSize:12,fontWeight:700,color:T.text3,marginBottom:8}}>Retail OTIF — actualized weekly % <span style={{fontWeight:400,color:T.text2,fontSize:10}}>(latest actualized: wk Jun 15, 2026)</span></div>
          <div style={{display:"flex",flexWrap:"wrap",gap:12,fontSize:11,color:T.text2,marginBottom:8}}>
            {[["#3B82F6","In-Full %"],["#10B981","On-Time %"],["#EF4444","OTIF %"]].map(([c,l])=>(
              <span key={l} style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:c,display:"inline-block"}}></span>{l}</span>
            ))}
          </div>
          <ResponsiveContainer width="100%" height={240}>
            <LineChart margin={{top:4,right:12,left:4,bottom:4}} data={[
              {w:"Jan 19",if:99.4,ot:86.4,otif:85.9},{w:"Feb 2",if:97.7,ot:95.7,otif:93.5},{w:"Feb 9",if:99.3,ot:93.9,otif:93.2},{w:"Feb 16",if:98.9,ot:90.7,otif:89.7},{w:"Feb 23",if:98.1,ot:91.1,otif:89.4},{w:"Mar 2",if:97.5,ot:92.8,otif:92.0},{w:"Mar 9",if:96.7,ot:96.1,otif:93.8},{w:"Mar 16",if:97.3,ot:96.4,otif:93.8},{w:"Mar 23",if:97.6,ot:92.1,otif:89.9},{w:"Mar 30",if:98.6,ot:83.5,otif:82.3},{w:"Apr 6",if:99.2,ot:95.1,otif:94.3},{w:"Apr 13",if:99.3,ot:96.1,otif:95.4},{w:"Apr 20",if:97.8,ot:95.4,otif:93.3},{w:"Apr 27",if:99.0,ot:95.2,otif:94.2},{w:"May 11",if:97.8,ot:94.6,otif:92.5},{w:"May 18",if:97.8,ot:94.9,otif:92.8},{w:"May 25",if:97.7,ot:95.5,otif:93.3},{w:"Jun 1",if:98.1,ot:89.8,otif:88.1},{w:"Jun 8",if:97.4,ot:83.0,otif:80.8},{w:"Jun 15",if:96.0,ot:90.1,otif:86.5}
            ]}>
              <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
              <XAxis dataKey="w" tick={{fontSize:10,fill:"#9CA3AF"}} angle={-30} textAnchor="end" height={45}/>
              <YAxis domain={[78,101]} tick={{fontSize:10}} tickFormatter={v=>v+"%"} width={38}/>
              <Tooltip formatter={(v,n)=>[v!=null?v.toFixed(1)+"%":"N/A",n]}/>
              <Line type="monotone" dataKey="if"   name="In-Full %"  stroke="#3B82F6" strokeWidth={2} dot={{r:2}} connectNulls/>
              <Line type="monotone" dataKey="ot"   name="On-Time %"  stroke="#10B981" strokeWidth={2} dot={{r:2}} strokeDasharray="4 3" connectNulls/>
              <Line type="monotone" dataKey="otif" name="OTIF %"     stroke="#EF4444" strokeWidth={2} dot={{r:2}} strokeDasharray="2 4" connectNulls/>
            </LineChart>
          </ResponsiveContainer>

          <div style={{borderTop:`2px solid ${T.border}`,margin:"20px 0 16px"}}/>

          {/* In-Full by channel chart */}
          <div style={{fontSize:12,fontWeight:700,color:T.text3,marginBottom:8}}>In-Full % by channel — actualized YTD</div>
          <div style={{display:"flex",flexWrap:"wrap",gap:12,fontSize:11,color:T.text2,marginBottom:8}}>
            {[["#3B82F6","NA Retail"],["#10B981","INTL Retail"],["#F59E0B","AMZ US H&F 1P"],["#8B5CF6","AMZ UK/EU 1P"]].map(([c,l])=>(
              <span key={l} style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:c,display:"inline-block"}}></span>{l}</span>
            ))}
          </div>
          <ResponsiveContainer width="100%" height={250}>
            <LineChart margin={{top:4,right:12,left:4,bottom:4}} data={[
              {w:"Feb 9",na:99.3,intl:100,amzus:99.9,amzuk:null},{w:"Feb 16",na:98.8,intl:100,amzus:93.8,amzuk:100},{w:"Feb 23",na:98.1,intl:100,amzus:98.9,amzuk:95},{w:"Mar 2",na:97.4,intl:98.5,amzus:91.9,amzuk:100},{w:"Mar 9",na:96.8,intl:100,amzus:87.8,amzuk:100},{w:"Mar 16",na:97.3,intl:100,amzus:90.8,amzuk:100},{w:"Mar 23",na:97.6,intl:100,amzus:99.0,amzuk:100},{w:"Mar 30",na:98.5,intl:100,amzus:82.7,amzuk:100},{w:"Apr 6",na:99.2,intl:100,amzus:72.0,amzuk:100},{w:"Apr 13",na:99.3,intl:100,amzus:59.9,amzuk:100},{w:"Apr 20",na:97.8,intl:100,amzus:96.0,amzuk:100},{w:"Apr 27",na:99.0,intl:100,amzus:99.2,amzuk:100},{w:"May 4",na:99.5,intl:100,amzus:85.4,amzuk:100},{w:"May 11",na:97.7,intl:100,amzus:84.1,amzuk:100},{w:"May 18",na:97.7,intl:100,amzus:82.3,amzuk:null},{w:"May 25",na:97.7,intl:97,amzus:93.7,amzuk:100},{w:"Jun 1",na:98.1,intl:95,amzus:94.5,amzuk:100},{w:"Jun 8",na:97.4,intl:100,amzus:80.1,amzuk:99.0},{w:"Jun 15",na:95.8,intl:100,amzus:75.0,amzuk:99.8}
            ]}>
              <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
              <XAxis dataKey="w" tick={{fontSize:10,fill:"#9CA3AF"}} angle={-30} textAnchor="end" height={45}/>
              <YAxis domain={[55,102]} tick={{fontSize:10}} tickFormatter={v=>v+"%"} width={38}/>
              <Tooltip formatter={(v,n)=>[v!=null?v.toFixed(1)+"%":"N/A",n]}/>
              <Line type="monotone" dataKey="na"    name="NA Retail"     stroke="#3B82F6" strokeWidth={2} dot={{r:2}} connectNulls/>
              <Line type="monotone" dataKey="intl"  name="INTL Retail"   stroke="#10B981" strokeWidth={2} dot={{r:2}} strokeDasharray="4 3" connectNulls/>
              <Line type="monotone" dataKey="amzus" name="AMZ US H&F 1P" stroke="#F59E0B" strokeWidth={2} dot={{r:2}} strokeDasharray="2 4" connectNulls/>
              <Line type="monotone" dataKey="amzuk" name="AMZ UK/EU 1P"  stroke="#8B5CF6" strokeWidth={2} dot={{r:2}} strokeDasharray="6 2" connectNulls/>
            </LineChart>
          </ResponsiveContainer>
          <div style={{fontSize:10,color:T.text2,background:T.card,borderLeft:`3px solid ${T.border2}`,borderRadius:"0 6px 6px 0",padding:"8px 10px",marginBottom:12,lineHeight:1.6}}>⚡ Amazon US H&F 1P dips to 59.9% (wk Apr 13) and 72% (wk Apr 6) were Amazon ordering anomalies, not supply issues.</div>

          {/* On-Time by channel tiles */}
          <div style={{fontSize:12,fontWeight:700,color:T.text3,marginBottom:8}}>On-Time % by channel — week of Jun 15, 2026</div>
          <div style={{display:"grid",gridTemplateColumns:"repeat(auto-fill,minmax(130px,1fr))",gap:8,marginBottom:14}}>
            {[
              {n:"Target",         v:100,cls:"good"},{n:"Walmart",        v:89, cls:"warn"},
              {n:"Drug & Dollar",  v:89, cls:"warn"}, {n:"Digital",        v:100,cls:"good"},
              {n:"Club",           v:89, cls:"warn"},{n:"International",  v:100,cls:"good"},
              {n:"Canada Prepaid", v:85, cls:"warn"}, {n:"Grocery",        v:76, cls:"warn"},
              {n:"Specialty",      v:80, cls:"warn"},
            ].map(({n,v,cls})=>(
              <div key={n} style={{background:T.card,border:`1px solid ${T.border}`,borderRadius:8,padding:"8px 10px"}}>
                <div style={{fontSize:9,fontWeight:700,color:T.text2,textTransform:"uppercase",letterSpacing:".05em",marginBottom:3}}>{n}</div>
                <div style={{fontSize:15,fontWeight:800,color:cls==="good"?"#059669":cls==="warn"?"#D97706":"#DC2626"}}>{v}%</div>
                <div style={{background:T.border,borderRadius:2,height:3,marginTop:5}}>
                  <div style={{background:cls==="good"?"#10B981":cls==="warn"?"#F59E0B":"#EF4444",width:`${v}%`,height:3,borderRadius:2}}/>
                </div>
              </div>
            ))}
          </div>
          <div style={{fontSize:10,color:T.text2,background:T.card,borderLeft:`3px solid ${T.border2}`,borderRadius:"0 6px 6px 0",padding:"8px 10px",marginBottom:12,lineHeight:1.6}}>⚡ On-Time recovered to 90.1% (wk Jun 15), up from 83.0% the prior week. Performance was pressured by carrier issues at RJW, with Grocery (76%) and Walmart (89%) the most impacted channels. We have escalated the issue to multiple levels of RJW leadership and are actively working toward a resolution.</div>

          <div style={{borderTop:`2px solid ${T.border}`,margin:"20px 0 16px"}}/>

          {/* In-Stock by retailer */}
          <div style={{fontSize:12,fontWeight:700,color:T.text3,marginBottom:8}}>In-Stock % by retailer — YTD (Jan 5 – Jun 8, 2026)</div>
          <div style={{display:"flex",flexWrap:"wrap",gap:12,fontSize:11,color:T.text2,marginBottom:8}}>
            {[["#3B82F6","Target"],["#10B981","Walmart"],["#F97316","D&D"],["#F59E0B","L&M 3P AMZ"],["#8B5CF6","INTL Retail"]].map(([c,l])=>(
              <span key={l} style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:c,display:"inline-block"}}></span>{l}</span>
            ))}
          </div>
          <ResponsiveContainer width="100%" height={240}>
            <LineChart margin={{top:4,right:12,left:4,bottom:4}} data={[
              {w:"Jan 5", tgt:92.8,wmt:96.0,dd:93.0,amz:98.9,intl:97.0},{w:"Jan 12",tgt:94.0,wmt:87.0,dd:94.0,amz:98.8,intl:98.0},{w:"Jan 19",tgt:95.3,wmt:88.0,dd:94.0,amz:98.8,intl:97.0},{w:"Jan 26",tgt:95.7,wmt:91.0,dd:95.0,amz:98.7,intl:96.0},{w:"Feb 2", tgt:95.8,wmt:94.7,dd:95.0,amz:98.6,intl:96.0},{w:"Feb 9", tgt:97.8,wmt:98.3,dd:null,amz:98.5,intl:97.0},{w:"Feb 16",tgt:97.4,wmt:99.1,dd:null,amz:98.5,intl:97.0},{w:"Feb 23",tgt:97.6,wmt:99.4,dd:null,amz:98.1,intl:97.0},{w:"Mar 2", tgt:97.6,wmt:99.5,dd:null,amz:97.7,intl:97.9},{w:"Mar 9", tgt:null,wmt:99.5,dd:92.0,amz:97.8,intl:97.8},{w:"Mar 16",tgt:96.9,wmt:null,dd:null,amz:98.0,intl:96.2},{w:"Mar 23",tgt:96.5,wmt:99.6,dd:94.0,amz:97.9,intl:97.8},{w:"Mar 30",tgt:96.9,wmt:99.5,dd:null,amz:97.8,intl:96.9},{w:"Apr 6", tgt:96.7,wmt:null,dd:95.0,amz:null,intl:97.8},{w:"Apr 13",tgt:97.0,wmt:null,dd:null,amz:97.8,intl:97.7},{w:"Apr 20",tgt:97.3,wmt:99.3,dd:94.6,amz:97.8,intl:96.9},{w:"Apr 27",tgt:97.4,wmt:99.2,dd:null,amz:97.5,intl:97.5},{w:"May 4", tgt:98.2,wmt:null,dd:96.0,amz:96.8,intl:97.9},{w:"May 11",tgt:98.1,wmt:98.9,dd:95.3,amz:96.3,intl:98.8},{w:"May 18",tgt:97.9,wmt:99.0,dd:94.8,amz:96.3,intl:98.8},{w:"May 25",tgt:97.9,wmt:99.0,dd:null,amz:96.2,intl:97.9},{w:"Jun 1", tgt:97.5,wmt:99.2,dd:null,amz:95.9,intl:98.3},{w:"Jun 8", tgt:null,wmt:null,dd:null,amz:96.3,intl:97.8},{w:"Jun 15",tgt:94.2,wmt:97.0,dd:93.9,amz:95.9,intl:99.7},{w:"Jun 22",tgt:null,wmt:null,dd:null,amz:94.75,intl:98.0}
            ]}>
              <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
              <XAxis dataKey="w" tick={{fontSize:10,fill:"#9CA3AF"}} angle={-30} textAnchor="end" height={45}/>
              <YAxis domain={[84,101]} tick={{fontSize:10}} tickFormatter={v=>v+"%"} width={38}/>
              <Tooltip formatter={(v,n)=>[v!=null?v.toFixed(1)+"%":"N/A",n]}/>
              <Line type="monotone" dataKey="tgt"  name="Target"      stroke="#3B82F6" strokeWidth={2} dot={{r:2}} connectNulls/>
              <Line type="monotone" dataKey="wmt"  name="Walmart"     stroke="#10B981" strokeWidth={2} dot={{r:2}} strokeDasharray="4 3" connectNulls/>
              <Line type="monotone" dataKey="dd"   name="D&D"         stroke="#F97316" strokeWidth={2} dot={{r:2}} strokeDasharray="2 4" connectNulls/>
              <Line type="monotone" dataKey="amz"  name="L&M 3P AMZ"  stroke="#F59E0B" strokeWidth={2} dot={{r:2}} strokeDasharray="6 2" connectNulls/>
              <Line type="monotone" dataKey="intl" name="INTL Retail" stroke="#8B5CF6" strokeWidth={2} dot={{r:2}} strokeDasharray="3 3" connectNulls/>
            </LineChart>
          </ResponsiveContainer>

          {/* Section: Shopify/DTC */}
          <div style={{display:"flex",alignItems:"center",gap:10,margin:"24px 0 12px"}}>
            <span style={{fontSize:13}}>🛍️</span>
            <span style={{fontSize:10,fontWeight:700,color:T.text3,textTransform:"uppercase",letterSpacing:".08em",whiteSpace:"nowrap"}}>Shopify / DTC</span>
            <div style={{flex:1,borderTop:`1.5px solid ${T.border}`}}/>
          </div>

          <div style={{fontSize:12,fontWeight:700,color:T.text3,marginBottom:8}}>DTC Perfect Order Rate — actualized by brand</div>
          <div style={{display:"flex",flexWrap:"wrap",gap:12,fontSize:11,color:T.text2,marginBottom:8}}>
            {[["#3B82F6","Harry's"],["#8B5CF6","Flamingo"],["#10B981","Lume"],["#F97316","Mando"]].map(([c,l])=>(
              <span key={l} style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:c,display:"inline-block"}}></span>{l}</span>
            ))}
          </div>
          <ResponsiveContainer width="100%" height={230}>
            <LineChart margin={{top:4,right:12,left:4,bottom:4}} data={[
              {w:"Feb 2", h:89.3,f:86.6,l:20.2,m:15.3},{w:"Feb 9", h:89.1,f:92.1,l:49.4,m:44.4},{w:"Feb 16",h:90.5,f:84.1,l:72.1,m:69.0},{w:"Feb 23",h:87.0,f:79.8,l:79.4,m:78.3},{w:"Mar 2", h:87.8,f:83.6,l:80.1,m:76.3},{w:"Mar 9", h:89.1,f:84.0,l:74.3,m:72.1},{w:"Mar 16",h:90.7,f:81.7,l:40.2,m:32.0},{w:"Mar 23",h:93.1,f:90.7,l:66.5,m:66.5},{w:"Mar 30",h:94.0,f:73.1,l:70.3,m:87.0},{w:"Apr 6", h:91.1,f:79.3,l:85.3,m:81.3},{w:"Apr 13",h:92.1,f:78.5,l:74.1,m:73.2},{w:"Apr 20",h:93.8,f:91.4,l:72.8,m:75.5},{w:"Apr 27",h:93.9,f:75.4,l:85.6,m:85.1},{w:"May 4", h:93.0,f:86.3,l:79.6,m:73.8},{w:"May 11",h:90.8,f:85.3,l:79.9,m:81.6},{w:"May 18",h:87.4,f:78.6,l:76.6,m:77.9},{w:"May 25",h:85.4,f:73.6,l:52.8,m:57.9},{w:"Jun 1",h:92.9,f:89.1,l:83.9,m:81.9},{w:"Jun 8",h:92.5,f:91.9,l:83.2,m:81.6}
            ]}>
              <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
              <XAxis dataKey="w" tick={{fontSize:10,fill:"#9CA3AF"}} angle={-30} textAnchor="end" height={45}/>
              <YAxis domain={[10,100]} tick={{fontSize:10}} tickFormatter={v=>v+"%"} width={38}/>
              <Tooltip formatter={(v,n)=>[v.toFixed(1)+"%",n]}/>
              <Line type="monotone" dataKey="h" name="Harry's"  stroke="#3B82F6" strokeWidth={2} dot={{r:3}}/>
              <Line type="monotone" dataKey="f" name="Flamingo" stroke="#8B5CF6" strokeWidth={2} dot={{r:3}} strokeDasharray="4 3"/>
              <Line type="monotone" dataKey="l" name="Lume"     stroke="#10B981" strokeWidth={2} dot={{r:3}} strokeDasharray="2 4"/>
              <Line type="monotone" dataKey="m" name="Mando"    stroke="#F97316" strokeWidth={2} dot={{r:3}} strokeDasharray="6 2"/>
            </LineChart>
          </ResponsiveContainer>
          <div style={{fontSize:10,color:T.text2,background:T.card,borderLeft:`3px solid ${T.border2}`,borderRadius:"0 6px 6px 0",padding:"8px 10px",lineHeight:1.6}}>⚡ Jun 8 POR is projected: Harry's 92.5%, Flamingo 91.9%, Lume 83.2%, Mando 81.6% — reflecting a sharp rebound from the May 25 Memorial Day dip. L&M recovery driven by fulfillment returning to SLA (0.7 business days) and OTD tightening to 4.5 days.</div>
        </div>
      )}

      {/* ══════════════ PERF: CUTS $ TAB ══════════════ */}
      {tab==="perf_cuts" && (
        <div style={{background:T.card,border:`1.5px solid ${T.border}`,borderRadius:"0 10px 10px 10px",padding:20}}>

          {/* Summary cards */}
          <div style={{display:"grid",gridTemplateColumns:"1fr 1fr 1fr",gap:10,marginBottom:16}}>
            {[
              {label:"YTD Cut $ (Feb 2 – Jun 22)",val:"$4.8M",sub:"21 weeks of actuals · all channels",note:"Lume/Mando body wash and solid deo supply constraints are the dominant driver since mid-March. Jun 8 was the peak week at $548K.",dotColor:"#DC2626"},
              {label:"Jun 22 Week (Latest)",val:"$285K",sub:"Week of Jun 22 · partial data",note:"Driven by Lume Body Wash Lavender ($116K) and Unscented ($89K) plus Lume Solid Deo Powder ($78K). Walmart and Target remain primary affected customers.",dotColor:"#D97706"},
              {label:"Jun 8 Week (Peak)",val:"$548K",sub:"Week of Jun 8 · highest week YTD",note:"Peak driven by Lume/Mando body wash micro failures plus solid deo supply constraints. Walmart US ($221K) and Target ($163K) bore the majority of cuts.",dotColor:"#DC2626"},
            ].map(c=>(
              <div key={c.label} style={{background:T.card,border:`1px solid ${T.border}`,borderRadius:8,padding:"12px 14px"}}>
                <div style={{fontSize:9,fontWeight:700,color:T.text2,textTransform:"uppercase",letterSpacing:".06em",marginBottom:4}}>{c.label}</div>
                <div style={{fontSize:22,fontWeight:800,color:"#D97706"}}>{c.val}</div>
                <div style={{fontSize:10,color:T.text2,marginTop:2}}>{c.sub}</div>
                <div style={{display:"flex",gap:6,marginTop:8,alignItems:"flex-start",fontSize:10,color:T.text2,lineHeight:1.5}}>
                  <span style={{display:"inline-block",width:7,height:7,borderRadius:"50%",background:c.dotColor,flexShrink:0,marginTop:3}}/>
                  {c.note}
                </div>
              </div>
            ))}
          </div>

          {/* Cut $ bar chart — full YTD */}
          <div style={{fontSize:12,fontWeight:700,color:T.text3,marginBottom:8}}>NA Retail cut $ by week — Feb 2 through Jun 22, 2026</div>
          <div style={{display:"flex",flexWrap:"wrap",gap:12,fontSize:11,color:T.text2,marginBottom:8}}>
            {[["#10B981","<$50K — low"],["#3B82F6","$50–200K — elevated"],["#EF4444","$200K+ — high"]].map(([c,l])=>(
              <span key={l} style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:c,display:"inline-block"}}></span>{l}</span>
            ))}
          </div>
          <ResponsiveContainer width="100%" height={240}>
            <BarChart margin={{top:4,right:12,left:4,bottom:4}} data={[
              {w:"2/2",v:7},{w:"2/9",v:45.1},{w:"2/16",v:107.6},{w:"2/23",v:235.2},{w:"3/2",v:185.4},
              {w:"3/9",v:255.4},{w:"3/16",v:437.0},{w:"3/23",v:60.4},{w:"3/30",v:56.1},{w:"4/6",v:66.8},
              {w:"4/13",v:164.6},{w:"4/20",v:137.4},{w:"4/27",v:26.6},{w:"5/4",v:365.0},{w:"5/11",v:384.4},
              {w:"5/18",v:318.4},{w:"5/25",v:226.0},{w:"6/1",v:436.7},{w:"6/8",v:548.3},{w:"6/15",v:470.1},
              {w:"6/22",v:284.9}
            ]}>
              <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
              <XAxis dataKey="w" tick={{fontSize:10,fill:"#9CA3AF"}} angle={-30} textAnchor="end" height={40}/>
              <YAxis tick={{fontSize:10}} tickFormatter={v=>"$"+v+"K"} width={52}/>
              <Tooltip formatter={(v)=>["$"+v+"K","Cut $"]}/>
              <ReferenceLine y={200} stroke="#D97706" strokeDasharray="3 3" strokeWidth={1}/>
              <Bar dataKey="v" name="Cut $" radius={[3,3,0,0]}>
                {[7,45.1,107.6,235.2,185.4,255.4,437.0,60.4,56.1,66.8,164.6,137.4,26.6,365.0,384.4,318.4,226.0,436.7,548.3,470.1,284.9].map((v,i)=>(
                  <Cell key={i} fill={v>=200?"#EF4444":v>=50?"#3B82F6":"#10B981"}/>
                ))}
              </Bar>
            </BarChart>
          </ResponsiveContainer>
          <div style={{fontSize:10,color:T.text2,background:T.card,borderLeft:`3px solid ${T.border2}`,borderRadius:"0 6px 6px 0",padding:"8px 10px",marginBottom:12,lineHeight:1.6}}>
            ⚡ Cuts were contained through mid-Feb (SKU transitions + minor supply), then spiked sharply in Feb 23–Mar 16 ($893K, 3 wks) driven by Lume Body Wash Unscented and Mando Cedar Grove supply constraints. Apr 27 dipped to $27K as replenishments landed. Cuts re-accelerated in May–Jun on body wash micro failures and broader Lume/Mando solid deo constraints, peaking at $548K (Jun 8).
          </div>

          <div style={{borderTop:`2px solid ${T.border}`,margin:"20px 0 16px"}}/>

          {/* Period context table */}
          <div style={{fontSize:12,fontWeight:700,color:T.text3,marginBottom:8}}>Cut $ context — key drivers by period</div>
          <table style={{width:"100%",borderCollapse:"collapse",fontSize:11}}>
            <thead>
              <tr style={{borderBottom:`2px solid ${T.border}`}}>
                <th style={{textAlign:"left",padding:"6px 8px",fontWeight:700,color:T.text3,fontSize:10,textTransform:"uppercase"}}>Period</th>
                <th style={{textAlign:"right",padding:"6px 8px",fontWeight:700,color:T.text3,fontSize:10,textTransform:"uppercase"}}>Cut $</th>
                <th style={{textAlign:"left",padding:"6px 8px",fontWeight:700,color:T.text3,fontSize:10,textTransform:"uppercase"}}>Primary Drivers</th>
              </tr>
            </thead>
            <tbody>
              {[
                {p:"Feb 2–16",v:"$160K",vc:"#3B82F6",d:"Mando AP Solid Cedar Grove R2 at Target ($52K) + Lume Body Wash Unscented at Walmart ($44K) + SKU transitions (Dolphin Handle Lilac, Truman Pack CAN, Craft Pack Gunmetal)"},
                {p:"Feb 23 – Mar 2",v:"$421K",vc:"#EF4444",d:"Moisture+ Refill 8CT at Target ($75K) + Lume Body Wash Unscented supply ramp ($71K) + H'26 Body Wash Wildlands at Walmart + Walmart Canada Truman Pack CAN transition"},
                {p:"Mar 9–16",v:"$692K",vc:"#EF4444",d:"Lume Body Wash Unscented at Walmart ($199K, peak supply constraint) + Mando Cedar Grove R2 ($56K) + Walmart Canada Truman Pack CAN transition ($178K)"},
                {p:"Mar 23 – Apr 27",v:"$512K",vc:"#EF4444",d:"Lume Deo Spray Soft Powder at Target ($158K, VAS project) + H'25 Refill G2++ 12CT Billboard ($104K) + Walgreens Lume/Mando deo ramp"},
                {p:"May 4–25",v:"$1,294K",vc:"#EF4444",d:"Solid Deo 2.6oz Unscented ($142K) + Lume Body Wash Unscented ($141K) + KeHE Lume/Mando solid deo ($119K) + Target body wash + CVS solid deo cuts"},
                {p:"Jun 1–22",v:"$1,740K",vc:"#EF4444",d:"Lume Body Wash 7oz Unscented ($347K), Lavender ($235K), Tangerine ($179K) — micro failure production hold. Solid Deo Powder ($132K). Walmart US ($668K) + Target ($587K) primary customers."},
              ].map((r,i)=>(
                <tr key={i} style={{borderBottom:`1px solid ${T.border}`,background:i%2===0?T.rowAlt:T.rowBase}}>
                  <td style={{padding:"5px 8px",color:T.text2,whiteSpace:"nowrap"}}>{r.p}</td>
                  <td style={{padding:"5px 8px",textAlign:"right",fontWeight:700,color:r.vc,whiteSpace:"nowrap"}}>{r.v}</td>
                  <td style={{padding:"5px 8px",color:T.text2,fontSize:10}}>{r.d}</td>
                </tr>
              ))}
            </tbody>
          </table>

          <div style={{borderTop:`2px solid ${T.border}`,margin:"20px 0 16px"}}/>

          {/* Top SKUs YTD */}
          <div style={{fontSize:12,fontWeight:700,color:T.text3,marginBottom:8}}>Top cut SKUs — YTD (Feb 2 – Jun 22, 2026)</div>
          <table style={{width:"100%",borderCollapse:"collapse",fontSize:11}}>
            <thead>
              <tr style={{borderBottom:`2px solid ${T.border}`}}>
                <th style={{textAlign:"left",padding:"6px 8px",fontWeight:700,color:T.text3,fontSize:10,textTransform:"uppercase"}}>SKU Description</th>
                <th style={{textAlign:"left",padding:"6px 8px",fontWeight:700,color:T.text3,fontSize:10,textTransform:"uppercase"}}>Brand</th>
                <th style={{textAlign:"right",padding:"6px 8px",fontWeight:700,color:T.text3,fontSize:10,textTransform:"uppercase"}}>YTD Cut $</th>
                <th style={{textAlign:"left",padding:"6px 8px",fontWeight:700,color:T.text3,fontSize:10,textTransform:"uppercase"}}>Root Cause</th>
              </tr>
            </thead>
            <tbody>
              {[
                {sku:"Body Wash 7oz Tube Unscented F",          brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", cut:802367, reason:"Micro failure production hold — peak supply constraint Mar–Jun"},
                {sku:"Solid Deo 2.6oz Stick Powder",            brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", cut:325699, reason:"Raw material delay — supply constrained May–Aug"},
                {sku:"F '25 Moisture+ Pack Fig US RTL",         brand:"Flamingo", bdg:"#FCE7F3",bc:"#9D174D", cut:308581, reason:"SKU hold / rework; VAS project ongoing"},
                {sku:"Body Wash 7oz Tube Tangerine F",           brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", cut:282148, reason:"Micro failure production hold — supply constrained Jun–Aug"},
                {sku:"Body Wash 7oz Tube Lavender F",            brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", cut:234810, reason:"Micro failure production hold — supply constrained Jun–Aug"},
                {sku:"H '25 Refill G2++ 12CT Billboard US RTL", brand:"Harry's",  bdg:"#DBEAFE",bc:"#1D4ED8", cut:220418, reason:"Inventory availability — high demand / replen timing"},
                {sku:"Lume Deo Spray 3.6oz Soft Powder TGT OL", brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", cut:212481, reason:"VAS project at Target — label rework delay"},
                {sku:"H '26 Body Wash Wildlands 18oz US",        brand:"Harry's",  bdg:"#DBEAFE",bc:"#1D4ED8", cut:185034, reason:"Raw material delay — production delay late Feb/Mar"},
                {sku:"Deo Cream 2.2oz Stick Powder",             brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", cut:184470, reason:"Supply constrained — orders past due from supplier"},
                {sku:"Mando AP Solid 2.6oz Cedar Grove R2",     brand:"Mando",    bdg:"#EDE9FE",bc:"#5B21B6", cut:174390, reason:"Supply constraint — Target Feb–Mar; constrained through 8/31"},
                {sku:"Solid Deo 2.6oz Stick Unscented",         brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", cut:141546, reason:"Raw material delay — supply constrained through 8/17"},
                {sku:"Mando Solid Deo 2.6oz Mt. Fuji",          brand:"Mando",    bdg:"#EDE9FE",bc:"#5B21B6", cut:137924, reason:"Supply constraint — constrained; units delivering wk 6/15"},
              ].map((r,i)=>(
                <tr key={i} style={{borderBottom:`1px solid ${T.border}`,background:i%2===0?T.rowAlt:T.rowBase}}>
                  <td style={{padding:"6px 8px",color:T.text1,fontWeight:500}}>{r.sku}</td>
                  <td style={{padding:"6px 8px"}}><span style={{background:r.bdg,color:r.bc,fontWeight:700,fontSize:9,borderRadius:3,padding:"2px 6px"}}>{r.brand}</span></td>
                  <td style={{padding:"6px 8px",textAlign:"right",fontWeight:700,color:r.cut>=200000?"#DC2626":r.cut>=80000?"#D97706":T.text1}}>${r.cut.toLocaleString()}</td>
                  <td style={{padding:"6px 8px",color:T.text2,fontSize:10}}>{r.reason}</td>
                </tr>
              ))}
            </tbody>
          </table>

          <div style={{borderTop:`2px solid ${T.border}`,margin:"20px 0 16px"}}/>

          {/* Stacked bar by sold-to party */}
          <div style={{fontSize:12,fontWeight:700,color:T.text3,marginBottom:8}}>Cut $ by sold-to party — weekly (Feb 2 – Jun 22)</div>
          {(()=>{
            const stpParties=[
              {name:"Walmart US",     color:"#10B981", data:[527,13895,42267,53652,68826,127583,186464,26923,14810,22384,67553,11948,11764,195283,126064,96531,80824,119635,220765,237144,90191]},
              {name:"Target",         color:"#3B82F6", data:[0,552,49934,111583,39913,72612,73330,23559,9915,37518,74458,110479,12903,111865,198719,54904,0,198212,162972,149193,76968]},
              {name:"CVS",            color:"#F97316", data:[0,0,0,6212,3662,469,5493,0,13332,0,0,0,0,0,0,31094,21315,43331,0,0,61396]},
              {name:"KeHE",           color:"#F59E0B", data:[0,6088,0,0,0,9333,0,0,0,0,0,0,0,0,36517,35332,47384,7596,12366,0,0]},
              {name:"Walgreens",      color:"#8B5CF6", data:[0,0,0,0,0,0,0,1462,0,1462,12710,12660,0,10952,238,19210,0,9764,29935,15904,22185]},
              {name:"Kroger",         color:"#60A5FA", data:[0,0,1218,16078,2857,0,0,0,0,0,0,0,0,1190,7500,21594,21565,18007,20572,5952,1760]},
              {name:"Meijer",         color:"#14B8A6", data:[0,6962,0,3225,4629,3186,707,6987,4408,4750,3326,2289,1656,6928,5858,7621,6456,12753,3537,15165,6453]},
              {name:"Walmart Canada", color:"#A78BFA", data:[0,2889,6403,7223,15485,34488,144257,0,0,0,0,0,0,2593,0,27,0,54,52,107,53]},
              {name:"Other",          color:"#9CA3AF", data:[6475,14743,7793,37259,50018,7720,26722,1437,13597,731,6577,0,238,36231,9529,52046,48501,27302,98101,46608,25934]},
            ];
            const weeks=["2/2","2/9","2/16","2/23","3/2","3/9","3/16","3/23","3/30","4/6","4/13","4/20","4/27","5/4","5/11","5/18","5/25","6/1","6/8","6/15","6/22"];
            const chartData=weeks.map((w,i)=>{
              const obj={w};
              stpParties.forEach(p=>{obj[p.name]=p.data[i]||0;});
              return obj;
            });
            const grandTotal=stpParties.reduce((s,p)=>s+p.data.reduce((a,b)=>a+b,0),0);
            return (
              <div>
                <div style={{display:"flex",flexWrap:"wrap",gap:12,fontSize:11,color:T.text2,marginBottom:8}}>
                  {stpParties.map(p=>(
                    <span key={p.name} style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:p.color,display:"inline-block"}}></span>{p.name}</span>
                  ))}
                </div>
                <ResponsiveContainer width="100%" height={280}>
                  <BarChart data={chartData} margin={{top:4,right:12,left:4,bottom:4}}>
                    <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
                    <XAxis dataKey="w" tick={{fontSize:10,fill:"#9CA3AF"}} angle={-30} textAnchor="end" height={40}/>
                    <YAxis tick={{fontSize:10}} tickFormatter={v=>"$"+Math.round(v/1000)+"K"} width={52}/>
                    <Tooltip formatter={(v,n)=>v>0?["$"+Math.round(v).toLocaleString(),n]:null} filterNull/>
                    {stpParties.map(p=>(
                      <Bar key={p.name} dataKey={p.name} stackId="a" fill={p.color+"cc"} radius={[0,0,0,0]}/>
                    ))}
                  </BarChart>
                </ResponsiveContainer>
                <div style={{borderTop:`2px solid ${T.border}`,margin:"20px 0 16px"}}/>
                <div style={{fontSize:12,fontWeight:700,color:T.text3,marginBottom:8}}>Cut $ by sold-to party — YTD totals (Feb 2 – Jun 22)</div>
                <table style={{width:"100%",borderCollapse:"collapse",fontSize:11}}>
                  <thead>
                    <tr style={{borderBottom:`2px solid ${T.border}`}}>
                      <th style={{width:16,padding:"6px 8px"}}></th>
                      <th style={{textAlign:"left",padding:"6px 8px",fontWeight:700,color:T.text3,fontSize:10,textTransform:"uppercase"}}>Sold-To Party</th>
                      <th style={{textAlign:"right",padding:"6px 8px",fontWeight:700,color:T.text3,fontSize:10,textTransform:"uppercase"}}>YTD Cut $</th>
                      <th style={{textAlign:"right",padding:"6px 8px",fontWeight:700,color:T.text3,fontSize:10,textTransform:"uppercase"}}>Share</th>
                      <th style={{padding:"6px 8px",fontWeight:700,color:T.text3,fontSize:10,textTransform:"uppercase"}}>Bar</th>
                    </tr>
                  </thead>
                  <tbody>
                    {stpParties.map((p,i)=>{
                      const tot=p.data.reduce((a,b)=>a+b,0);
                      const pct=(tot/grandTotal*100).toFixed(1);
                      const sparkW=Math.min(100,(tot/stpParties.reduce((mx,pp)=>Math.max(mx,pp.data.reduce((a,b)=>a+b,0)),0))*100);
                      const color=tot>=500000?"#DC2626":tot>=100000?"#D97706":T.text1;
                      return (
                        <tr key={p.name} style={{borderBottom:`1px solid ${T.border}`,background:i%2===0?T.rowAlt:T.rowBase}}>
                          <td style={{padding:"7px 4px 7px 8px"}}><span style={{display:"inline-block",width:8,height:8,borderRadius:2,background:p.color}}/></td>
                          <td style={{padding:"6px 8px",color:T.text3}}>{p.name}</td>
                          <td style={{padding:"6px 8px",textAlign:"right",fontWeight:700,color}}>${Math.round(tot).toLocaleString()}</td>
                          <td style={{padding:"6px 8px",textAlign:"right",color:T.text2,fontWeight:400}}>{pct}%</td>
                          <td style={{padding:"6px 8px"}}><div style={{background:T.border,borderRadius:2,height:6}}><div style={{background:p.color,width:sparkW.toFixed(1)+"%",height:6,borderRadius:2}}/></div></td>
                        </tr>
                      );
                    })}
                  </tbody>
                </table>
                <div style={{fontSize:10,color:T.text2,background:T.card,borderLeft:`3px solid ${T.border2}`,borderRadius:"0 6px 6px 0",padding:"8px 10px",marginTop:12,lineHeight:1.6}}>
                  ⚡ Walmart US ($1.8M, 38%) and Target ($1.6M, 33%) account for 71% of YTD cuts. Both are downstream of the same Lume body wash and solid deo supply constraints. CVS ($186K), KeHE ($155K), and Walgreens ($136K) reflect the Drug &amp; Dollar channel impact of the same SKU constraints.
                </div>
              </div>
            );
          })()}
        </div>
      )}

      {tab==="perf_callouts" && (
        <div style={{background:T.card,border:`1.5px solid ${T.border}`,borderRadius:"0 10px 10px 10px",padding:20}}>
          <div style={{marginBottom:12}}>
            <div style={{fontSize:12,fontWeight:700,color:T.text3,marginBottom:2}}>Active supply callouts — week of June 22, 2026</div>
            <div style={{fontSize:10,color:T.text2}}>45 active items across Harry's, Flamingo, Lume, and Mando</div>
          </div>
          <table style={{width:"100%",borderCollapse:"collapse",fontSize:11}}>
            <thead>
              <tr style={{borderBottom:`2px solid ${T.border}`}}>
                <th style={{textAlign:"left",padding:"6px 8px",fontWeight:700,color:T.text3,fontSize:10,textTransform:"uppercase",width:80}}>Brand</th>
                <th style={{textAlign:"left",padding:"6px 8px",fontWeight:700,color:T.text3,fontSize:10,textTransform:"uppercase",width:70}}>Risk</th>
                <th style={{textAlign:"left",padding:"6px 8px",fontWeight:700,color:T.text3,fontSize:10,textTransform:"uppercase"}}>SKU / Issue</th>
                <th style={{textAlign:"left",padding:"6px 8px",fontWeight:700,color:T.text3,fontSize:10,textTransform:"uppercase",width:160}}>ETA / Notes</th>
              </tr>
            </thead>
            <tbody>
              {[
                {brand:"Harry's",  bdg:"#DBEAFE",bc:"#1D4ED8", risk:"High",   rc:"#DC2626", sku:"H'26 2-in-1 Shampoo Wildlands 14oz US",             notes:"Raw material delay in April led to production delay. Supplier resumed production; 33K ETA 6/17.",                                                                      eta:"ETA 6/17"},
                {brand:"Harry's",  bdg:"#DBEAFE",bc:"#1D4ED8", risk:"High",   rc:"#DC2626", sku:"H'26 Shave Cream 6oz Canada Retail",                 notes:"ISM transfer wiped majority of inventory. Cuts expected 5/25–7/6.",                                                                                                    eta:"25K ETA 7/10"},
                {brand:"Harry's",  bdg:"#DBEAFE",bc:"#1D4ED8", risk:"Medium", rc:"#D97706", sku:"H Face Lotion 1.7oz 2CT TGT Retail",                 notes:"VAS kicked off; RJW working on kitting. ETA TBD.",                                                                                                                     eta:"TBD"},
                {brand:"Harry's",  bdg:"#DBEAFE",bc:"#1D4ED8", risk:"Medium", rc:"#D97706", sku:"H'25 Truman Value Pack G2++ Ember RTL",               notes:"Not expecting cuts but monitoring production and shipment delays.",                                                                                                    eta:"ETA 6/29"},
                {brand:"Harry's",  bdg:"#DBEAFE",bc:"#1D4ED8", risk:"Medium", rc:"#D97706", sku:"H'25 Shave Cream 2oz US Amazon",                     notes:"Overperformance led to OOS on AMZ. Next production ongoing.",                                                                                                         eta:"25K ETA 7/1"},
                {brand:"Harry's",  bdg:"#DBEAFE",bc:"#1D4ED8", risk:"Medium", rc:"#D97706", sku:"H'25 Shave Cream 3.4oz CAN DTC",                     notes:"Included in allergen IL update under development. May need to expand production.",                                                                                    eta:"TBD"},
                {brand:"Harry's",  bdg:"#DBEAFE",bc:"#1D4ED8", risk:"Low",    rc:"#059669", sku:"H'25 Hair Texturizing Putty 2.5oz CAN Retail",        notes:"10K ETA RJW.",                                                                                                                                                         eta:"ETA 6/29"},
                {brand:"Harry's",  bdg:"#DBEAFE",bc:"#1D4ED8", risk:"Low",    rc:"#059669", sku:"H'25 Truman Pack G2++ Ember RTL",                     notes:"50K inbound delayed to 6/27; partial cuts Monday due to receiving.",                                                                                                   eta:"ETA 6/29"},
                {brand:"Harry's",  bdg:"#DBEAFE",bc:"#1D4ED8", risk:"Low",    rc:"#059669", sku:"H'25 Truman Pack G2++ Sage RTL",                      notes:"Production delayed 3 weeks from China; cartridge shortage. Using alternative supplier.",                                                                              eta:"ETA 7/13"},
                {brand:"Harry's",  bdg:"#DBEAFE",bc:"#1D4ED8", risk:"Low",    rc:"#059669", sku:"H'26 Eye Cream 0.5oz US All Channel",                 notes:"Inbound arrived to RJW 6/24.",                                                                                                                                         eta:"Available 6/24"},
                {brand:"Harry's",  bdg:"#DBEAFE",bc:"#1D4ED8", risk:"Low",    rc:"#059669", sku:"H'25 Hair Cream 5.1oz US Amazon",                     notes:"Back in stock at retail.",                                                                                                                                             eta:"Available 6/15"},
                {brand:"Flamingo", bdg:"#FCE7F3",bc:"#9D174D", risk:"High",   rc:"#DC2626", sku:"F'25 Moisture+ Pack Fig US RTL",                      notes:"~12.8K units rework to be complete by 6/25; 20K units inbound ETA wk 7/13.",                                                                                         eta:"Ongoing through 7/13"},
                {brand:"Flamingo", bdg:"#FCE7F3",bc:"#9D174D", risk:"High",   rc:"#DC2626", sku:"F'26 Handle Pink US RTL 1CT",                         notes:"Airshipping 40 pallets June delivery (46,400 units). Likely cutting 2–3 wks in July/August. Additional production ~30 pallets for arrival, may not need due to ISM.", eta:"8/3*"},
                {brand:"Flamingo", bdg:"#FCE7F3",bc:"#9D174D", risk:"High",   rc:"#DC2626", sku:"F Body Depilatory 200ML All Channel",                 notes:"Weekly inbounds of ~60,000 units arriving 6/29.",                                                                                                                     eta:"ETA 6/29"},
                {brand:"Flamingo", bdg:"#FCE7F3",bc:"#9D174D", risk:"Medium", rc:"#D97706", sku:"F'8CT Cartridge Pack CAN Retail",                     notes:"Inbound of 3,840 units received. Shoppers demand not in Beacon — risk of partial OOS.",                                                                              eta:"ETA 6/25"},
                {brand:"Flamingo", bdg:"#FCE7F3",bc:"#9D174D", risk:"Medium", rc:"#D97706", sku:"F' Recovery Serum 1.7floz US All Channel",            notes:"Inbound tracking towards 8/15; demand increases driven by TikTok.",                                                                                                   eta:"Inbound 8/15"},
                {brand:"Flamingo", bdg:"#FCE7F3",bc:"#9D174D", risk:"Medium", rc:"#D97706", sku:"F' Shower Holder Premium DTC Digital",                notes:"Inbound arriving.",                                                                                                                                                    eta:"ETA 7/20"},
                {brand:"Flamingo", bdg:"#FCE7F3",bc:"#9D174D", risk:"Low",    rc:"#059669", sku:"F'26 Travel Razor Pack US Retail",                    notes:"Golden SKU. Production ongoing. No cuts projected.",                                                                                                                   eta:"Cuts not projected"},
                {brand:"Flamingo", bdg:"#FCE7F3",bc:"#9D174D", risk:"Low",    rc:"#059669", sku:"F' Shave Gel 1.0oz US Retail",                        notes:"No real risk. Leaving on list for visibility through end of year.",                                                                                                  eta:"See notes"},
                {brand:"Mando",    bdg:"#EDE9FE",bc:"#5B21B6", risk:"High",   rc:"#DC2626", sku:"Mando Sweat Control Solid 2.6oz Mt. Fuji DTC+AMZ",    notes:"OOS across the network.",                                                                                                                                             eta:"8/31"},
                {brand:"Mando",    bdg:"#EDE9FE",bc:"#5B21B6", risk:"High",   rc:"#DC2626", sku:"Mando AP Solid 2.6oz Clover Woods R2 All Channel",    notes:"Constrained across the network.",                                                                                                                                     eta:"8/31"},
                {brand:"Mando",    bdg:"#EDE9FE",bc:"#5B21B6", risk:"High",   rc:"#DC2626", sku:"Mando AP Solid 2.6oz Mt. Fuji R2 Amazon",             notes:"Constrained across the network.",                                                                                                                                     eta:"TBD"},
                {brand:"Mando",    bdg:"#EDE9FE",bc:"#5B21B6", risk:"High",   rc:"#DC2626", sku:"Mando Body Wash 8.5oz Pro Sport DTC+AMZ",             notes:"Production in trial after new cleaning/sanitization process approved. Production should resume shortly.",                                                             eta:"8/30"},
                {brand:"Mando",    bdg:"#EDE9FE",bc:"#5B21B6", risk:"High",   rc:"#DC2626", sku:"Mando Solid Deo 2.6oz Cedar All Channel",             notes:"Units delivering to DCs wk 6/15.",                                                                                                                                    eta:"6/19"},
                {brand:"Mando",    bdg:"#EDE9FE",bc:"#5B21B6", risk:"High",   rc:"#DC2626", sku:"Mando Solid Deo 2.6oz Bourbon All Channel",           notes:"Constrained through 8/31. Channel allocation in place.",                                                                                                              eta:"8/31"},
                {brand:"Mando",    bdg:"#EDE9FE",bc:"#5B21B6", risk:"Medium", rc:"#D97706", sku:"Mando Solid Deo 2.6oz Clover All Channel",            notes:"Constrained through 8/31.",                                                                                                                                           eta:"8/31"},
                {brand:"Mando",    bdg:"#EDE9FE",bc:"#5B21B6", risk:"Low",    rc:"#059669", sku:"Mando Solid Deo 2.6oz Mt. Fuji All Channel",          notes:"Units delivering to DCs wk 6/15.",                                                                                                                                    eta:"8/31"},
                {brand:"Mando",    bdg:"#EDE9FE",bc:"#5B21B6", risk:"Low",    rc:"#059669", sku:"Mando Deo Cream 3.0oz Tube Mt. Fuji Amazon",          notes:"Constrained.",                                                                                                                                                         eta:"TBD"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"High",   rc:"#DC2626", sku:"Lume AP Solid 2.6oz Fresh Spring R2 All Channel",     notes:"Constrained through 8/31. Channel allocation in place.",                                                                                                              eta:"8/31"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"High",   rc:"#DC2626", sku:"Lume AP Solid 2.6oz Vanilla R2 All Channel",          notes:"Constrained through 8/31. Channel allocation in place.",                                                                                                              eta:"8/31"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"High",   rc:"#DC2626", sku:"Lume Sweat Cream Tube 3.0oz Tangerine DTC+AMZ",       notes:"Constraint from supplier — orders 2 months past due.",                                                                                                                eta:"7/20"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"High",   rc:"#DC2626", sku:"Lume Sweat Cream Tube 3.0oz Powder DTC+AMZ",          notes:"Constraint from supplier — orders 2 months past due.",                                                                                                                eta:"7/20"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"High",   rc:"#DC2626", sku:"Body Wash 7oz Tube Tangerine/Unscented/Lavender Retail", notes:"Production in trial after new cleaning/sanitization process; 22K units should deliver 6/26.",                                                                  eta:"7/15–7/30"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"High",   rc:"#DC2626", sku:"Body Wash 8.5oz Tube Unscented/Lavender/Tangerine DTC+AMZ", notes:"Production in trial after new cleaning/sanitization process approved.",                                                                                   eta:"7/22–7/30"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"High",   rc:"#DC2626", sku:"Solid Deo 2.6oz Minted All Channel",                  notes:"Constrained through August. Channel allocation in place.",                                                                                                            eta:"8/31"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"High",   rc:"#DC2626", sku:"Solid Deo 2.6oz Powder All Channel",                  notes:"Constrained through August. Channel allocation in place.",                                                                                                            eta:"8/17"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"High",   rc:"#DC2626", sku:"Lume Solid Deo 0.5oz Mini Stick Powder Retail",       notes:"Units delivered to RJW; still constrained to supply.",                                                                                                                eta:"7/20"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"High",   rc:"#DC2626", sku:"Solid Deo 2.6oz Alpine DTC+AMZ",                      notes:"Constrained through 8/31.",                                                                                                                                           eta:"8/31"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"High",   rc:"#DC2626", sku:"Solid Deo 2.6oz Unscented All Channel",                notes:"Constrained through 8/17. Channel allocation in place.",                                                                                                             eta:"8/17"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"High",   rc:"#DC2626", sku:"Solid Deo 2.6oz Vanilla Bliss All Channel",            notes:"Constrained through 8/17. Channel allocation in place.",                                                                                                            eta:"8/17"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"High",   rc:"#DC2626", sku:"Solid Deo 2.6oz Coconut All Channel",                  notes:"Constrained through 8/17. Channel allocation in place.",                                                                                                            eta:"8/17"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"High",   rc:"#DC2626", sku:"Solid Deo 0.5oz Mini Stick Tangerine All Channel",     notes:"Constrained through 8/31.",                                                                                                                                           eta:"8/31"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"High",   rc:"#DC2626", sku:"Deo Cream 2.2oz Vanilla Bliss DTC+AMZ",                notes:"Currently OOS; production scheduled 6/23.",                                                                                                                          eta:"6/23"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"High",   rc:"#DC2626", sku:"Deo Cream 3.0oz Powder All Channel",                   notes:"Currently OOS.",                                                                                                                                                      eta:"6/22"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"High",   rc:"#DC2626", sku:"Deo Cream 3oz Peony Retail + Amazon",                  notes:"Will transfer inventory from UPS.",                                                                                                                                   eta:"7/15"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"High",   rc:"#DC2626", sku:"Deo Cream 2.2oz Powder All Channel",                   notes:"15K delivered 6/17. Additional 34K units running.",                                                                                                                  eta:"7/15"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"High",   rc:"#DC2626", sku:"Deo Cream 3oz Coconut / Unscented Amazon",              notes:"Constrained.",                                                                                                                                                         eta:"TBD"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"Medium", rc:"#D97706", sku:"Body Wash 1.5oz Mini Lavender/Peony DTC+AMZ",          notes:"Production in trial after new cleaning/sanitization process approved; 25K ETA 7/20.",                                                                              eta:"7/20"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"Medium", rc:"#D97706", sku:"Solid Deo 2.6oz Tangerine All Channel",                notes:"Constrained through 8/17. Channel allocation in place.",                                                                                                             eta:"8/17"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"Medium", rc:"#D97706", sku:"Solid Deo 2.6oz Lavender All Channel",                 notes:"Constrained through 8/17. Channel allocation in place.",                                                                                                             eta:"8/17"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"Medium", rc:"#D97706", sku:"Solid Deo 2.6oz Peony All Channel",                    notes:"Constrained through 8/31. Channel allocation in place.",                                                                                                             eta:"8/31"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"Medium", rc:"#D97706", sku:"Deo Cream 2.2oz Coconut/Lavender All Channel",         notes:"Inbounding 6/18–6/29.",                                                                                                                                               eta:"6/18–6/29"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"Medium", rc:"#D97706", sku:"Deo Cream 2.2oz Tube Unscented PC Retail",             notes:"12K inbound.",                                                                                                                                                         eta:"6/22"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"Medium", rc:"#D97706", sku:"Deo Cream 3oz Tangerine DTC+AMZ",                      notes:"35K units releasing over the next replenishment order.",                                                                                                              eta:"8/15"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"Medium", rc:"#D97706", sku:"Deo Cream 0.5oz Mini Vanilla Bliss Amazon",            notes:"Constrained.",                                                                                                                                                         eta:"TBD"},
                {brand:"Lume",     bdg:"#D1FAE5",bc:"#065F46", risk:"Low",    rc:"#059669", sku:"Lume Deo Spray 3.6oz Unscented R1 Retail",             notes:"20K replen arriving wk of 6/29.",                                                                                                                                     eta:"6/30"},
              ].map((r,i)=>(
                <tr key={i} style={{borderBottom:`1px solid ${T.border}`,background:i%2===0?T.rowAlt:T.rowBase}}>
                  <td style={{padding:"6px 8px"}}>
                    <span style={{background:r.bdg,color:r.bc,fontWeight:700,fontSize:9,borderRadius:3,padding:"2px 6px",display:"inline-block"}}>{r.brand}</span>
                  </td>
                  <td style={{padding:"6px 8px"}}>
                    <span style={{display:"inline-block",width:7,height:7,borderRadius:"50%",background:r.rc,marginRight:4,verticalAlign:"middle"}}/>
                    <span style={{fontSize:10,fontWeight:700,color:r.rc}}>{r.risk}</span>
                  </td>
                  <td style={{padding:"6px 8px"}}>
                    <div style={{fontWeight:600,color:T.text1}}>{r.sku}</div>
                    <div style={{fontSize:10,color:T.text2,marginTop:2,lineHeight:1.5}}>{r.notes}</div>
                  </td>
                  <td style={{padding:"6px 8px",fontSize:10,color:T.text2,verticalAlign:"top"}}>{r.eta}</td>
                </tr>
              ))}
            </tbody>
          </table>
        </div>
      )}

      {/* ══════════════ RETAILER VIEW TAB ══════════════ */}
      {tab==="retailer_view" && <RetailerScorecard
        brand={brand} lo={lo} hi={hi}
        retailerView={retailerView} setRetailerView={setRetailerView}
        _dark={_dark}
      />}
      {false && (()=>{
        const ALL_RETAILERS = [
          "Target","Walmart","Walmart Canada","Amazon","Costco","Sam's Club",
          "CVS","Walgreens","Kroger","Albertsons","Meijer","Dollar General",
          "Publix","H-E-B","Harris Teeter","Crossmark","C&S","Shoppers Drug Mart",
          "TJX","KOHLS","Ulta","KeHe"
        ];

        // ── On-Time & In-Full data keyed by retailer (2026 YTD weekly) ──
        // Weekly data is all 2026 — filter weeks whose month is within the selected lo/hi range
        const selectedMonths = new Set(ALL_PERIODS.filter(p=>p.year===2026&&p.idx>=lo&&p.idx<=hi).map(p=>p.month));
        // "Jan 19" -> "Jan", "Feb 2" -> "Feb", etc.
        const weekInRange = w => selectedMonths.has(w.split(" ")[0]);

        const JUN1_OT = {"Target":100,"Walmart":86,"Drug & Dollar":33,"Grocery":76,"Walgreens":null,"CVS":null};
        const INFUL_BY_RETAILER = {
          "Target":  [{w:"Jan 19",v:99.4},{w:"Feb 2",v:97.7},{w:"Feb 9",v:99.3},{w:"Feb 16",v:98.9},{w:"Feb 23",v:98.1},{w:"Mar 2",v:97.5},{w:"Mar 9",v:null},{w:"Mar 16",v:96.9},{w:"Mar 23",v:96.5},{w:"Mar 30",v:96.9},{w:"Apr 6",v:96.7},{w:"Apr 13",v:97.0},{w:"Apr 20",v:97.3},{w:"Apr 27",v:97.4},{w:"May 4",v:98.2},{w:"May 11",v:98.1},{w:"May 18",v:97.9},{w:"May 25",v:97.9},{w:"Jun 1",v:97.5},{w:"Jun 8",v:null}],
          "Walmart": [{w:"Feb 2",v:94.7},{w:"Feb 9",v:98.3},{w:"Feb 16",v:99.1},{w:"Feb 23",v:99.4},{w:"Mar 2",v:99.5},{w:"Mar 9",v:99.5},{w:"Mar 16",v:null},{w:"Mar 23",v:99.6},{w:"Mar 30",v:99.5},{w:"Apr 6",v:null},{w:"Apr 13",v:null},{w:"Apr 20",v:99.3},{w:"Apr 27",v:99.2},{w:"May 4",v:null},{w:"May 11",v:98.9},{w:"May 18",v:99.0},{w:"May 25",v:99.0},{w:"Jun 1",v:99.2},{w:"Jun 8",v:null}],
        };
        // NA Retail weekly On-Time (aggregate, used for all retailers)
        const NA_OT_WEEKLY = [
          {w:"Jan 19",ot:86.4},{w:"Feb 2",ot:95.7},{w:"Feb 9",ot:93.9},{w:"Feb 16",ot:90.7},{w:"Feb 23",ot:91.1},
          {w:"Mar 2",ot:92.8},{w:"Mar 9",ot:96.1},{w:"Mar 16",ot:96.4},{w:"Mar 23",ot:92.1},{w:"Mar 30",ot:83.5},
          {w:"Apr 6",ot:95.1},{w:"Apr 13",ot:96.1},{w:"Apr 20",ot:95.4},{w:"Apr 27",ot:95.2},
          {w:"May 11",ot:94.6},{w:"May 18",ot:94.9},{w:"May 25",ot:95.5},{w:"Jun 1",ot:89.8},
        ];
        // Merge + apply date range filter
        const retailerIfSeries = INFUL_BY_RETAILER[retailerView];
        const retailerOtif = (() => {
          const otMap = Object.fromEntries(NA_OT_WEEKLY.map(d=>[d.w,d.ot]));
          if (retailerIfSeries) {
            return retailerIfSeries
              .filter(d=>weekInRange(d.w))
              .map(d=>({w:d.w, if:d.v, ot:otMap[d.w]||null}))
              .filter(d=>d.if!==null||d.ot!==null);
          }
          return [
            {w:"Jan 19",if:99.4,ot:86.4,otif:85.9},{w:"Feb 2",if:97.7,ot:95.7,otif:93.5},{w:"Feb 9",if:99.3,ot:93.9,otif:93.2},
            {w:"Feb 16",if:98.9,ot:90.7,otif:89.7},{w:"Feb 23",if:98.1,ot:91.1,otif:89.4},{w:"Mar 2",if:97.5,ot:92.8,otif:92.0},
            {w:"Mar 9",if:96.7,ot:96.1,otif:93.8},{w:"Mar 16",if:97.3,ot:96.4,otif:93.8},{w:"Mar 23",if:97.6,ot:92.1,otif:89.9},
            {w:"Mar 30",if:98.6,ot:83.5,otif:82.3},{w:"Apr 6",if:99.2,ot:95.1,otif:94.3},{w:"Apr 13",if:99.3,ot:96.1,otif:95.4},
            {w:"Apr 20",if:97.8,ot:95.4,otif:93.3},{w:"Apr 27",if:99.0,ot:95.2,otif:94.2},{w:"May 11",if:97.8,ot:94.6,otif:92.5},
            {w:"May 18",if:97.8,ot:94.9,otif:92.8},{w:"May 25",if:97.7,ot:95.5,otif:93.3},{w:"Jun 1",if:98.1,ot:89.8,otif:88.1},
          ].filter(d=>weekInRange(d.w));
        })();
        const hasRetailerOtif = !!retailerIfSeries;
        const jun1OT = JUN1_OT[retailerView];

        // ── In-Stock weekly (date-range filtered) ──
        const INSTOCK_DATA = {
          "Target":  [{w:"Jan 5",v:92.8},{w:"Jan 12",v:94.0},{w:"Jan 19",v:95.3},{w:"Jan 26",v:95.7},{w:"Feb 2",v:95.8},{w:"Feb 9",v:97.8},{w:"Feb 16",v:97.4},{w:"Feb 23",v:97.6},{w:"Mar 2",v:97.6},{w:"Mar 9",v:null},{w:"Mar 16",v:96.9},{w:"Mar 23",v:96.5},{w:"Mar 30",v:96.9},{w:"Apr 6",v:96.7},{w:"Apr 13",v:97.0},{w:"Apr 20",v:97.3},{w:"Apr 27",v:97.4},{w:"May 4",v:98.2},{w:"May 11",v:98.1},{w:"May 18",v:97.9},{w:"May 25",v:97.9},{w:"Jun 1",v:97.5},{w:"Jun 8",v:null}],
          "Walmart": [{w:"Jan 5",v:96.0},{w:"Jan 12",v:87.0},{w:"Jan 19",v:88.0},{w:"Jan 26",v:91.0},{w:"Feb 2",v:94.7},{w:"Feb 9",v:98.3},{w:"Feb 16",v:99.1},{w:"Feb 23",v:99.4},{w:"Mar 2",v:99.5},{w:"Mar 9",v:99.5},{w:"Mar 16",v:null},{w:"Mar 23",v:99.6},{w:"Mar 30",v:99.5},{w:"Apr 6",v:null},{w:"Apr 13",v:null},{w:"Apr 20",v:99.3},{w:"Apr 27",v:99.2},{w:"May 4",v:null},{w:"May 11",v:98.9},{w:"May 18",v:99.0},{w:"May 25",v:99.0},{w:"Jun 1",v:99.2},{w:"Jun 8",v:null}],
          "Amazon":  [{w:"Jan 5",v:98.9},{w:"Jan 12",v:98.8},{w:"Jan 19",v:98.8},{w:"Jan 26",v:98.7},{w:"Feb 2",v:98.6},{w:"Feb 9",v:98.5},{w:"Feb 16",v:98.5},{w:"Feb 23",v:98.1},{w:"Mar 2",v:97.7},{w:"Mar 9",v:97.8},{w:"Mar 16",v:98.0},{w:"Mar 23",v:97.9},{w:"Mar 30",v:97.8},{w:"Apr 6",v:null},{w:"Apr 13",v:97.8},{w:"Apr 20",v:97.8},{w:"Apr 27",v:97.5},{w:"May 4",v:96.8},{w:"May 11",v:96.3},{w:"May 18",v:96.3},{w:"May 25",v:96.2},{w:"Jun 1",v:95.9},{w:"Jun 8",v:96.3}],
        };
        const instockData = (INSTOCK_DATA[retailerView] || []).filter(d=>d.v!==null && weekInRange(d.w));

        // ── Cut $ weekly (2026 YTD) ──
        const CUT_WEEKS = ["2/2","2/9","2/16","2/23","3/2","3/9","3/16","3/23","3/30","4/6","4/13","4/20","4/27","5/4","5/11","5/18","5/25","6/1","6/8"];
        const CUT_DATA = {
          "Target":        [0,552,49934,111583,39913,72612,73330,23559,9915,37518,74458,110479,12903,111865,198719,54904,0,198212,162972],
          "Walmart":       [527,13062,2619,53652,68826,127583,186464,26923,14810,22384,67553,11948,11764,195283,126064,96531,80824,119635,42460],
          "Walmart Canada":[0,2889,6403,7223,15485,34488,144257,0,0,0,0,0,0,2593,0,27,0,54,52],
          "CVS":           [0,0,0,6212,3662,469,5493,0,13332,0,0,0,0,0,0,31094,21315,43331,0],
          "Kroger":        [0,0,0,16078,2857,0,0,0,0,0,0,0,0,1190,7500,21594,21565,18007,0],
          "Meijer":        [0,6962,0,3225,4629,3186,707,6987,4408,4750,3326,2289,1656,6928,5858,7621,6456,12753,3537],
          "Walgreens":     [0,0,0,0,0,0,0,1462,0,1462,12710,12660,0,10952,238,19210,0,9764,6087],
          "C&S":           [3959,3215,252,29153,627,0,5394,0,1848,0,0,0,0,0,0,7034,7064,5243,0],
          "H-E-B":         [0,0,0,7619,14860,4197,10132,591,9053,731,6577,0,0,0,4291,27267,0,1905,3282],
        };
        // Map cut week "m/d" -> month name for range filtering
        const CUT_WEEK_MONTHS = {"2/2":"Feb","2/9":"Feb","2/16":"Feb","2/23":"Feb","3/2":"Mar","3/9":"Mar","3/16":"Mar","3/23":"Mar","3/30":"Mar","4/6":"Apr","4/13":"Apr","4/20":"Apr","4/27":"Apr","5/4":"May","5/11":"May","5/18":"May","5/25":"May","6/1":"Jun","6/8":"Jun"};
        const cutSeries = CUT_DATA[retailerView];
        const cutChartData = cutSeries ? CUT_WEEKS.map((w,i)=>({w,cuts:cutSeries[i]})).filter(d=>d.cuts>0 && selectedMonths.has(CUT_WEEK_MONTHS[d.w])) : [];
        const totalCuts = cutChartData.reduce((s,d)=>s+d.cuts,0);

        // ── Brand + date range filter helpers ──
        const bMatch = b => brand==="All" || b===brand;
        const inRange = (year, month) => { const p=ALL_PERIODS.find(p=>p.year===year&&p.month===month); return p && p.idx>=lo && p.idx<=hi; };

        // ── CB monthly by brand (date-range filtered) ──
        const cbMonthly = RAW_CUST_MONTHLY.filter(d=>d.Customer===retailerView && bMatch(d.Brand) && inRange(d.Year,d.Month))
          .sort((a,b)=>a.Year!==b.Year?a.Year-b.Year:MI[a.Month]-MI[b.Month]);
        const cbByPeriod = {};
        cbMonthly.forEach(d=>{
          const key=`${d.Year}-${d.Month}`;
          if(!cbByPeriod[key]) cbByPeriod[key]={label:key,hf_cb:null,lm_cb:null,total_cb:0};
          if(d.Brand==="HF") cbByPeriod[key].hf_cb=(cbByPeriod[key].hf_cb||0)+d.Net_CB;
          else cbByPeriod[key].lm_cb=(cbByPeriod[key].lm_cb||0)+d.Net_CB;
          cbByPeriod[key].total_cb+=d.Net_CB;
        });

        // ── Revenue allocation: annual cust rev * (monthly brand rev share) ──
        // annual customer rev per brand/year from RAW_CUSTOMER
        const annualCustRevLu = {};
        RAW_CUSTOMER.forEach(d=>{ annualCustRevLu[`${d.Brand}|${d.Year}|${d.Customer}`]=d.Rev; });
        // brand-level monthly rev totals (to get each month's share of annual)
        const annualBrandRevLu = {};
        RAW_MONTHLY.forEach(d=>{
          const yr=d.Year, br=d.Brand;
          if(!annualBrandRevLu[`${br}|${yr}`]) annualBrandRevLu[`${br}|${yr}`]=0;
          annualBrandRevLu[`${br}|${yr}`]+=d.Rev;
        });
        // monthly brand rev lookup
        const monthBrandRevLu = {};
        RAW_MONTHLY.forEach(d=>{ monthBrandRevLu[`${d.Brand}|${d.Year}|${d.Month}`]=d.Rev; });
        // compute allocated monthly customer revenue per brand
        const custMonthRevLu = {}; // key = "Brand|Year|Month"
        ["HF","LM"].forEach(br=>{
          [2025,2026].forEach(yr=>{
            const annualCustRev = annualCustRevLu[`${br}|${yr}|${retailerView}`]
              || annualCustRevLu[`${br}|${yr}|${retailerView.replace(" Inc.","")}`]
              || 0;
            const annualBrandRev = annualBrandRevLu[`${br}|${yr}`]||1;
            MONTH_ORDER.forEach(mo=>{
              const mRev = monthBrandRevLu[`${br}|${yr}|${mo}`]||0;
              custMonthRevLu[`${br}|${yr}|${mo}`] = annualCustRev * (mRev/annualBrandRev);
            });
          });
        });

        const cbChartData = ALL_PERIODS.filter(p=>p.idx>=lo&&p.idx<=hi).map(p=>{
          const key=`${p.year}-${p.month}`;
          const row = cbByPeriod[key];
          if(!row) return {label:p.label,hf:null,lm:null,total:null};
          const hfRev = custMonthRevLu[`HF|${p.year}|${p.month}`]||0;
          const lmRev = custMonthRevLu[`LM|${p.year}|${p.month}`]||0;
          const hfPct = (row.hf_cb!==null && hfRev>0) ? row.hf_cb/hfRev*100 : null;
          const lmPct = (row.lm_cb!==null && lmRev>0) ? row.lm_cb/lmRev*100 : null;
          const totRev = hfRev + lmRev;
          const totPct = (row.total_cb!==0 && totRev>0) ? row.total_cb/totRev*100 : null;
          return {label:p.label, hf:hfPct, lm:lmPct, total:totPct,
                  hf_cb:row.hf_cb, lm_cb:row.lm_cb, total_cb:row.total_cb};
        }).filter(d=>d.hf!==null||d.lm!==null);

        // ── CB by category (date-range filtered via years in selected range) ──
        const yearsInRange = [...new Set(ALL_PERIODS.filter(p=>p.idx>=lo&&p.idx<=hi).map(p=>p.year))];
        const catForRetailer = RAW_CAT_CUST.filter(d=>d.Customer===retailerView && bMatch(d.Brand==="HF"?"HF":"LM") && yearsInRange.includes(d.Year));
        const allCatsForRetailer = [...new Set(catForRetailer.map(d=>d.Category))];
        const annualCatTotals = {};
        catForRetailer.forEach(d=>{
          const yr=d.Year; if(!annualCatTotals[yr]) annualCatTotals[yr]={};
          annualCatTotals[yr][d.Category]=(annualCatTotals[yr][d.Category]||0)+d.Net_CB;
        });
        const TOP_CATS = allCatsForRetailer
          .map(c=>({c, total:Object.values(annualCatTotals).reduce((s,yr)=>s+(yr[c]||0),0)}))
          .sort((a,b)=>b.total-a.total).slice(0,6).map(x=>x.c);

        // Build stacked category monthly data
        const catMonthlyData = cbChartData.map(row=>{
          const yearKey=parseInt(row.label.split("-")[0]);
          const monthTotal=row.total||0;
          const catYr=annualCatTotals[yearKey]||{};
          const annualSum=Object.values(catYr).reduce((s,v)=>s+v,0)||1;
          const obj={label:row.label};
          TOP_CATS.forEach(c=>{ obj[c]=annualSum!==0?Math.round(monthTotal*(catYr[c]||0)/annualSum):null; });
          return obj;
        });

        // ── Annual CB summary (brand-filtered) ──
        const annualCB=RAW_CUSTOMER.filter(d=>(d.Customer===retailerView||d.Customer===retailerView.replace(" Inc.","")) && bMatch(d.Brand) && yearsInRange.includes(d.Year));
        const cb2025=annualCB.filter(d=>d.Year===2025).reduce((s,d)=>s+d.Net_CB,0);
        const cb2026=annualCB.filter(d=>d.Year===2026).reduce((s,d)=>s+d.Net_CB,0);
        const rev2025=annualCB.filter(d=>d.Year===2025).reduce((s,d)=>s+d.Rev,0);
        const rev2026=annualCB.filter(d=>d.Year===2026).reduce((s,d)=>s+d.Rev,0);
        const pct2025=rev2025>0?cb2025/rev2025*100:null;
        const pct2026=rev2026>0?cb2026/rev2026*100:null;

        // ── Recovery (brand + year range filtered) ──
        const recovAll=RAW_RECOVERY_CUST.filter(d=>d.Customer===retailerView && yearsInRange.includes(d.Year) && (brand==="All"||(brand==="HF"&&d.Brand==="H&F")||(brand==="LM"&&d.Brand==="L&M")));
        const grossCBTotal=recovAll.reduce((s,d)=>s+Math.abs(d.Gross_CB),0);
        const reversalsTotal=recovAll.reduce((s,d)=>s+d.Reversals,0);
        const recovRate=grossCBTotal>0?reversalsTotal/grossCBTotal*100:null;

        const hasData=cbChartData.length>0;
        const hasCuts=cutSeries&&totalCuts>0;
        const hasOtif=retailerOtif.length>0;
        const hasInstock=instockData.length>0;

        const SectionHdr = ({icon,title,sub})=>(
          <div style={{display:"flex",alignItems:"center",gap:10,margin:"28px 0 14px",borderTop:`1.5px solid ${T.border}`,paddingTop:18}}>
            <span style={{fontSize:16}}>{icon}</span>
            <div>
              <div style={{fontSize:13,fontWeight:800,color:T.text1}}>{title}</div>
              {sub&&<div style={{fontSize:10,color:T.text2,marginTop:1}}>{sub}</div>}
            </div>
          </div>
        );

        return (
          <div style={{background:T.card,border:"1.5px solid #DDD6FE",borderRadius:"0 10px 10px 10px",padding:20}}>

            {/* ── Header + selector ── */}
            <div style={{display:"flex",alignItems:"flex-start",justifyContent:"space-between",flexWrap:"wrap",gap:12,marginBottom:20}}>
              <div>
                <div style={{fontSize:18,fontWeight:800,color:"#6D28D9"}}>🏪 Retailer Scorecard</div>
                <div style={{fontSize:11,color:T.text2,marginTop:2}}>On-time · In-full · Cuts $ · Chargebacks by reason · 2025–2026 YTD</div>
              </div>
              <div style={{display:"flex",alignItems:"center",gap:8}}>
                {brand!=="All"&&<span style={{background:BLIGHT[brand],color:BCOLORS[brand],fontWeight:700,fontSize:11,borderRadius:6,padding:"4px 10px",border:`1px solid ${BCOLORS[brand]}44`}}>{brand==="HF"?"H&F Only":"L&M Only"}</span>}
                <span style={{fontSize:11,fontWeight:700,color:"#6D28D9"}}>RETAILER</span>
                <select value={retailerView} onChange={e=>setRetailerView(e.target.value)}
                  style={{padding:"8px 14px",borderRadius:8,border:"1.5px solid #DDD6FE",fontSize:13,fontWeight:700,color:"#6D28D9",background:"#F5F3FF",cursor:"pointer",minWidth:190}}>
                  {ALL_RETAILERS.map(r=><option key={r} value={r}>{r}</option>)}
                </select>
              </div>
            </div>

            {!hasData&&!hasOtif&&!hasCuts ? (
              <div style={{textAlign:"center",padding:"48px 0",color:T.text2,fontSize:13}}>
                No data available for <strong>{retailerView}</strong> in the current dataset.
              </div>
            ) : (
              <>
                {/* ── KPI strip ── */}
                <div style={{display:"flex",gap:10,flexWrap:"wrap",marginBottom:4}}>
                  {[
                    {label:"2025 CB % of Rev",    value:pct2025!==null?fmtP(pct2025):"—",  sub:cb2025!==0?`Net CB: ${fmt$(cb2025)}`:"no rev data", hi:pct2025>2?"red":pct2025!==null?"green":null},
                    {label:"2026 YTD CB % of Rev",value:pct2026!==null?fmtP(pct2026):"—",  sub:cb2026!==0?`Net CB: ${fmt$(cb2026)}`:"no rev data", hi:pct2026>2?"red":pct2026!==null?"green":null},
                    ...(hasCuts?[{label:"2026 YTD Cut $",value:fmt$(totalCuts),sub:"actualized weekly",hi:"red"}]:[]),
                    ...(recovRate!==null?[{label:"Avg Recovery Rate",value:`${recovRate.toFixed(1)}%`,sub:"reversals / gross CB",hi:recovRate>50?"green":"red"}]:[]),
                  ].map(k=>(
                    <div key={k.label} style={{background:k.hi==="red"?(_dark?"#450a0a":"#FEF2F2"):k.hi==="green"?(_dark?"#052e16":"#F0FDF4"):T.card,border:`1px solid ${T.border}`,borderRadius:10,padding:"11px 15px",flex:"1 1 130px"}}>
                      <div style={{fontSize:9,fontWeight:700,color:T.text2,textTransform:"uppercase",letterSpacing:".07em",marginBottom:2}}>{k.label}</div>
                      <div style={{fontSize:19,fontWeight:800,color:T.text1}}>{k.value}</div>
                      <div style={{fontSize:10,color:T.muted,marginTop:1}}>{k.sub}</div>
                    </div>
                  ))}
                </div>

                {/* ══ SECTION 1: On-Time & In-Full ══ */}
                <SectionHdr icon="📦" title="On-Time & In-Full"
                  sub={hasRetailerOtif?`In-Full: retailer-specific · On-Time: NA Retail aggregate (retailer-level weekly not available in dataset)`:`NA Retail aggregate (retailer-level not available for ${retailerView})`}/>
                {jun1OT!==undefined&&jun1OT!==null&&(
                  <div style={{background:"#FFFBEB",border:"1px solid #FDE68A",borderRadius:8,padding:"8px 12px",marginBottom:12,fontSize:11,color:"#92400E",lineHeight:1.6}}>
                    ⚡ <strong>Jun 1 On-Time snapshot — {retailerView}: {jun1OT}%</strong> · Weekly retailer-level On-Time series is not tracked in this dataset. On-Time line below reflects NA Retail aggregate.
                  </div>
                )}
                <div style={{display:"flex",gap:12,fontSize:11,color:T.text2,marginBottom:8,flexWrap:"wrap"}}>
                  <span style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:"#3B82F6",display:"inline-block"}}></span>In-Full %{hasRetailerOtif?" (retailer)":""}</span>
                  <span style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:"#10B981",display:"inline-block"}}></span>On-Time % (NA Retail)</span>
                  {!hasRetailerOtif&&<span style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:"#EF4444",display:"inline-block"}}></span>OTIF %</span>}
                </div>
                <ResponsiveContainer width="100%" height={240}>
                  <LineChart data={retailerOtif} margin={{top:4,right:16,left:4,bottom:4}}>
                    <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
                    <XAxis dataKey="w" tick={{fontSize:10,fill:"#9CA3AF"}} angle={-30} textAnchor="end" height={45}/>
                    <YAxis domain={[78,102]} tickFormatter={v=>v+"%"} tick={{fontSize:10}} width={38}/>
                    <Tooltip formatter={(v,n)=>[v!=null?v.toFixed(1)+"%":"N/A",n]}/>
                    <ReferenceLine y={95} stroke="#D97706" strokeDasharray="4 4" label={{value:"95%",fontSize:9,fill:"#D97706",position:"right"}}/>
                    <Line type="monotone" dataKey="if"   name="In-Full %"  stroke="#3B82F6" strokeWidth={2} dot={{r:2}} connectNulls/>
                    <Line type="monotone" dataKey="ot"   name="On-Time % (NA Retail)" stroke="#10B981" strokeWidth={2} dot={{r:2}} strokeDasharray="4 3" connectNulls/>
                    {!hasRetailerOtif&&<Line type="monotone" dataKey="otif" name="OTIF %"    stroke="#EF4444" strokeWidth={2} dot={{r:2}} strokeDasharray="2 4" connectNulls/>}
                  </LineChart>
                </ResponsiveContainer>

                {/* In-Stock line (where available) */}
                {hasInstock&&(
                  <div style={{marginTop:16}}>
                    <div style={{fontSize:12,fontWeight:700,color:T.text3,marginBottom:6}}>In-Stock % — {retailerView} <span style={{fontWeight:400,color:T.muted,fontSize:10}}>2026 YTD weekly</span></div>
                    <ResponsiveContainer width="100%" height={200}>
                      <LineChart data={instockData} margin={{top:4,right:16,left:4,bottom:4}}>
                        <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
                        <XAxis dataKey="w" tick={{fontSize:10,fill:"#9CA3AF"}} angle={-30} textAnchor="end" height={45}/>
                        <YAxis domain={[84,101]} tickFormatter={v=>v+"%"} tick={{fontSize:10}} width={38}/>
                        <Tooltip formatter={(v)=>[v!=null?v.toFixed(1)+"%":"N/A","In-Stock %"]}/>
                        <ReferenceLine y={95} stroke="#D97706" strokeDasharray="4 4" label={{value:"95%",fontSize:9,fill:"#D97706",position:"right"}}/>
                        <Line type="monotone" dataKey="v" name="In-Stock %" stroke="#7C3AED" strokeWidth={2} dot={{r:2}} connectNulls/>
                      </LineChart>
                    </ResponsiveContainer>
                  </div>
                )}

                {/* ══ SECTION 2: Cuts $ Over Time ══ */}
                <SectionHdr icon="✂️" title="Cuts $ Over Time"
                  sub={hasCuts?`2026 YTD weekly actualized · Total: ${fmt$(totalCuts)}`:"2026 YTD weekly data"}/>
                {hasCuts ? (
                  <>
                    <div style={{display:"flex",gap:12,fontSize:11,color:T.text2,marginBottom:8,flexWrap:"wrap"}}>
                      <span style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:"#10B981",display:"inline-block"}}></span>&lt;$100K — low</span>
                      <span style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:"#F59E0B",display:"inline-block"}}></span>$100–299K — elevated</span>
                      <span style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:"#EF4444",display:"inline-block"}}></span>$300K+ — high</span>
                    </div>
                    <ResponsiveContainer width="100%" height={220}>
                      <BarChart data={cutChartData} margin={{top:4,right:16,left:4,bottom:4}}>
                        <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
                        <XAxis dataKey="w" tick={{fontSize:10,fill:"#9CA3AF"}} angle={-30} textAnchor="end" height={45}/>
                        <YAxis tickFormatter={v=>v>=1000?"$"+(v/1000).toFixed(0)+"K":"$"+v} tick={{fontSize:10}} width={56}/>
                        <Tooltip formatter={(v)=>["$"+Math.round(v).toLocaleString(),"Cut $"]}/>
                        <Bar dataKey="cuts" name="Cut $" radius={[3,3,0,0]}>
                          {cutChartData.map((d,i)=><Cell key={i} fill={d.cuts>=300000?"#EF4444":d.cuts>=100000?"#F59E0B":"#10B981"}/>)}
                        </Bar>
                      </BarChart>
                    </ResponsiveContainer>
                  </>
                ) : (
                  <div style={{fontSize:11,color:T.text2,padding:"12px 0",background:T.card,border:`1px solid ${T.border}`,borderRadius:8,paddingLeft:14,lineHeight:1.6}}>
                    ℹ️ Weekly cut $ data is not available for <strong>{retailerView}</strong>. This dataset tracks Target, Walmart, Walmart Canada, CVS, Kroger, Meijer, Walgreens, C&S, and H-E-B.
                  </div>
                )}

                {/* ══ SECTION 3: Chargebacks Over Time ══ */}
                {hasData&&(
                  <>
                    <SectionHdr icon="💳" title="Chargebacks % of Revenue Over Time"
                      sub="Monthly CB as % of allocated gross revenue by brand · Jan 2025 – May 2026 · Revenue allocated via brand-level monthly weight"/>
                    <div style={{display:"flex",gap:12,fontSize:11,color:T.text2,marginBottom:8,flexWrap:"wrap"}}>
                      <span style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:BCOLORS.HF,display:"inline-block"}}></span>H&F CB%</span>
                      <span style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:BCOLORS.LM,display:"inline-block"}}></span>L&M CB%</span>
                      <span style={{display:"flex",alignItems:"center",gap:5}}><span style={{width:10,height:10,borderRadius:2,background:"#F59E0B",display:"inline-block"}}></span>Combined CB%</span>
                    </div>
                    <ResponsiveContainer width="100%" height={240}>
                      <ComposedChart data={cbChartData} margin={{top:4,right:16,left:4,bottom:4}}>
                        <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
                        <XAxis dataKey="label" tick={{fontSize:10,fill:"#9CA3AF"}} angle={-30} textAnchor="end" height={45}/>
                        <YAxis tickFormatter={v=>v!=null?v.toFixed(1)+"%":""} tick={{fontSize:10}} width={52}/>
                        <Tooltip formatter={(v,n)=>[v!=null?v.toFixed(2)+"%":"N/A",n]}/>
                        <ReferenceLine y={0} stroke="#9CA3AF"/>
                        <ReferenceLine y={2} stroke="#F59E0B" strokeDasharray="4 3" label={{value:"2% threshold",fontSize:9,fill:"#D97706",position:"right"}}/>
                        <Line type="monotone" dataKey="hf"    name="H&F CB%"      stroke={BCOLORS.HF} strokeWidth={2} dot={{r:3}} connectNulls hide={brand==="LM"}/>
                        <Line type="monotone" dataKey="lm"    name="L&M CB%"      stroke={BCOLORS.LM} strokeWidth={2} dot={{r:3}} connectNulls hide={brand==="HF"}/>
                        <Line type="monotone" dataKey="total" name="Combined CB%"  stroke="#F59E0B"    strokeWidth={2} dot={{r:3}} connectNulls hide={brand!=="All"} strokeDasharray="5 3"/>
                      </ComposedChart>
                    </ResponsiveContainer>

                    {/* CB % of Revenue tiles */}
                    {annualCB.filter(d=>d.Rev>0).length>0&&(
                      <div style={{display:"flex",gap:10,flexWrap:"wrap",marginTop:14}}>
                        {annualCB.filter(d=>d.Rev>0).map((d,i)=>(
                          <div key={i} style={{background:T.card,border:`1px solid ${T.border}`,borderRadius:8,padding:"10px 14px",flex:"1 1 130px"}}>
                            <div style={{fontSize:9,fontWeight:700,color:T.text2,textTransform:"uppercase",letterSpacing:".05em",marginBottom:2}}>{d.Year} · {d.Brand==="HF"?"H&F":"L&M"}</div>
                            <div style={{fontSize:17,fontWeight:800,color:d.Pct>3?"#DC2626":d.Pct>1.5?"#D97706":"#059669"}}>{fmtP(d.Pct)}</div>
                            <div style={{fontSize:10,color:T.muted}}>{fmt$(d.Net_CB)} on {fmt$(d.Rev)} rev</div>
                          </div>
                        ))}
                      </div>
                    )}
                  </>
                )}

                {/* ══ SECTION 4: Chargebacks by Reason Over Time ══ */}
                {hasData&&TOP_CATS.length>0&&(
                  <>
                    <SectionHdr icon="🏷️" title="Chargebacks by Reason Over Time"
                      sub={`Top ${TOP_CATS.length} categories · proportional monthly estimate`}/>
                    <div style={{display:"flex",flexWrap:"wrap",gap:10,fontSize:11,color:T.text2,marginBottom:8}}>
                      {TOP_CATS.map(c=>(
                        <span key={c} style={{display:"flex",alignItems:"center",gap:4}}>
                          <span style={{width:10,height:10,borderRadius:2,background:CAT_COLORS[c]||"#9CA3AF",display:"inline-block",flexShrink:0}}></span>{c}
                        </span>
                      ))}
                    </div>
                    <ResponsiveContainer width="100%" height={260}>
                      <BarChart data={catMonthlyData} margin={{top:4,right:16,left:4,bottom:4}}>
                        <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"}/>
                        <XAxis dataKey="label" tick={{fontSize:10,fill:"#9CA3AF"}} angle={-30} textAnchor="end" height={45}/>
                        <YAxis tickFormatter={fmt$} tick={{fontSize:10}} width={68}/>
                        <Tooltip formatter={(v,n)=>[fmt$(v),n]}/>
                        <ReferenceLine y={0} stroke="#9CA3AF"/>
                        {TOP_CATS.map(c=>(
                          <Bar key={c} dataKey={c} name={c} stackId="cat"
                            fill={CAT_COLORS[c]||"#9CA3AF"} fillOpacity={0.85} radius={[0,0,0,0]}/>
                        ))}
                      </BarChart>
                    </ResponsiveContainer>
                    <div style={{fontSize:10,color:T.muted,marginTop:4}}>Category splits are estimated from annual proportions applied to monthly totals. Exact monthly category data not available in this dataset.</div>

                    {/* All-time category horizontal bar */}
                    <div style={{marginTop:20}}>
                      <div style={{fontSize:12,fontWeight:700,color:T.text3,marginBottom:8}}>Total CB by Category — {retailerView} <span style={{fontWeight:400,color:T.muted,fontSize:10}}>all periods</span></div>
                      <ResponsiveContainer width="100%" height={Math.max(180,TOP_CATS.length*32)}>
                        <BarChart data={[...TOP_CATS.map(c=>({
                          Category:c,
                          Net_CB:Object.values(annualCatTotals).reduce((s,yr)=>s+(yr[c]||0),0)
                        }))].sort((a,b)=>b.Net_CB-a.Net_CB)} layout="vertical" margin={{top:4,right:60,left:8,bottom:4}}>
                          <CartesianGrid strokeDasharray="3 3" stroke={_dark?"#1E3A5F":"#F3F4F6"} horizontal={false}/>
                          <XAxis type="number" tickFormatter={fmt$} tick={{fontSize:10}} width={68}/>
                          <YAxis type="category" dataKey="Category" tick={{fontSize:10,fill:"#6B7280"}} width={110}/>
                          <Tooltip formatter={(v)=>[fmt$(v),"Net CB"]}/>
                          <ReferenceLine x={0} stroke="#9CA3AF"/>
                          <Bar dataKey="Net_CB" name="Net CB" radius={[0,3,3,0]}>
                            {TOP_CATS.map((c,i)=><Cell key={i} fill={CAT_COLORS[c]||"#6B7280"}/>)}
                          </Bar>
                        </BarChart>
                      </ResponsiveContainer>
                    </div>
                  </>
                )}

                {/* ── Recovery table ── */}
                {recovAll.length>0&&(
                  <>
                    <SectionHdr icon="↩️" title="Chargeback Recovery" sub="Gross CB, reversals, and recovery rate by brand/year"/>
                    <table style={{width:"100%",borderCollapse:"collapse",fontSize:12}}>
                      <thead>
                        <tr style={{borderBottom:`2px solid ${T.border}`}}>
                          {["Brand","Year","Gross CB","Reversals","Net CB","Recovery %"].map(h=>(
                            <th key={h} style={{textAlign:["Gross CB","Reversals","Net CB","Recovery %"].includes(h)?"right":"left",padding:"6px 8px",fontWeight:700,color:T.text3,fontSize:10,textTransform:"uppercase"}}>{h}</th>
                          ))}
                        </tr>
                      </thead>
                      <tbody>
                        {recovAll.sort((a,b)=>a.Year-b.Year).map((r,i)=>{
                          const rc=r.Recovery_Rate>=50?"#16A34A":r.Recovery_Rate>=25?"#D97706":"#DC2626";
                          return (
                            <tr key={i} style={{borderBottom:`1px solid ${T.border}`,background:i%2===0?T.rowAlt:T.rowBase}}>
                              <td style={{padding:"5px 8px"}}><span style={{background:BLIGHT[r.Brand==="H&F"?"HF":"LM"],color:BCOLORS[r.Brand==="H&F"?"HF":"LM"],fontWeight:700,fontSize:10,borderRadius:4,padding:"2px 6px"}}>{r.Brand}</span></td>
                              <td style={{padding:"5px 8px",color:T.text2}}>{r.Year}</td>
                              <td style={{padding:"5px 8px",textAlign:"right",color:"#DC2626",fontWeight:600}}>{fmt$(Math.abs(r.Gross_CB))}</td>
                              <td style={{padding:"5px 8px",textAlign:"right",color:"#16A34A",fontWeight:600}}>{fmt$(r.Reversals)}</td>
                              <td style={{padding:"5px 8px",textAlign:"right",fontWeight:700}}>{fmt$(Math.abs(r.Net_CB))}</td>
                              <td style={{padding:"5px 8px",textAlign:"right",fontWeight:700,color:rc}}>{r.Recovery_Rate.toFixed(1)}%</td>
                            </tr>
                          );
                        })}
                      </tbody>
                    </table>
                  </>
                )}
              </>
            )}
          </div>
        );
      })()}
      {false && null}

      <div style={{marginTop:12,fontSize:10,color:T.muted}}>Net chargebacks = gross chargebacks less reversals. ⚠ = CB % &gt; 3.0% where revenue is available. 2026 data through May.</div>
    </div>
  );
}