- dataProcessor.ts: Update filterAdsData to correctly handle SKU filtering using global metadata
- Ensures that drill-down from Weekly Sales correctly isolates the target product in the Ads tab
- types.ts: Add conversions field to CombinedKPIs
- dataProcessor.ts: Populate conversions in mergeSalesAndAdsData
- AdsPerformance.tsx: New component with aggregated advertising metrics and detailed product table
- App.tsx: Add Ads view to switcher and render AdsPerformance component
- Icons.tsx: Added icon support for the new Ads tab
- App.tsx: Add globalAsinMetadata to provide context for ad filtering
- dataProcessor.ts: Update filterAdsData to respect product line filters via metadata
- dataProcessor.ts: Update mergeSalesAndAdsData to use global metadata for ads-only records
- Ensures consistent calculation of totals and visibility when filtering by Line or ASIN
- The ads-only metadata lookup was doing a nested forEach (O(ads × sales))
- Now pre-builds asinMetadata map during sales aggregation for O(1) lookups
- This reduces complexity from O(n²) to O(n) for large datasets
- Should dramatically improve loading time for Weekly Sales tab
- Refactored mergeSalesAndAdsData to aggregate by ASIN+Customer+Year+Week
- Each ASIN/Week now produces exactly one output record
- Updated pivotWeeklySalesData to use ASIN as primary key
- Fixed double-counting when same ASIN had multiple SKUs
- Added support for ads-only records (ASINs with spend but no sales)
- Changed App.tsx to use filtered ads data for accurate totals
1. Changed weekTotals to use 'rows' instead of 'filteredRows' so totals
always show complete sums regardless of search/growth filters
2. Added second pass in mergeSalesAndAdsData to include ads records for
ASINs that have ad spend but no corresponding sales data
- Implemented pagination and local search in WeeklyGrid to handle large datasets.
- Refactored Weekly Sales tab to show units and ad spend per SKU.
- Added default Pan-EU country filter (DE, FR, IT, ES) when no country is selected.
- Update AdsRecord interface to support weekly data (year, week, cpc, ctr, acos, conversions)
- Rewrite processAdsExcel to parse multiple sheets (2025, 2026) with 12-column format
- Update mergeSalesAndAdsData to match by ASIN+Country+Year+Week
- Add Advertising Performance section to Dashboard with Ad Spend, Attributed Sales, ACOS, ROAS
- Add Ads toggle button and summary bar to DataGrid
- Add Ad Spend lines (fuchsia dashed) to weekly comparison chart
- Fix import paths in Dashboard.tsx and AdvertisingDashboard.tsx
- Added applyPanEUGrouping() helper function in dataProcessor.ts
- Groups Amazon DE/IT/FR/ES as 'Pan-EU' when no customer filter applied
- Shows individual countries when specific filter is selected
- Updated DataGrid to accept hasCustomerFilter prop
- Updated App.tsx to pass filter state to DataGrid
- Keeps Amazon UK and Amazon SC separate
- Verified with browser testing: grouping works correctly
- Updated all toLocaleString() calls to use 'de-DE' locale
- Applied to DataGrid, Dashboard, AdvertisingDashboard, TopMovers, geminiService
- Numbers now display as €1.234 instead of €1,234
- Fixed spread operator syntax errors introduced during bulk replacement
- Verified across all tabs: Dashboard, Grid, Advertising
Adds functionality to process and display advertising data alongside sales data. This includes:
- Introducing a new `AdvertisingDashboard` component.
- Modifying `FileUpload` to accept advertising CSVs.
- Updating `App.tsx` to manage and display both sales and ad data.
- Enhancing `dataProcessor.ts` to handle advertising CSV parsing and merging.
- Adding a `MegaphoneIcon` for advertising-related UI elements.
- Defining new types for advertising records and combined KPIs.
Adds papaparse as a dependency and updates the data processing service to use it for more robust CSV file parsing. This replaces manual CSV parsing logic with a dedicated library, improving reliability and handling of various CSV formats.
Also renames the `MoversIcon` to `TrendingIcon` to better reflect its usage in indicating trending performance metrics.
Sets up the project with Vite, React, Tailwind CSS, Gemini AI integration, and necessary dependencies for data analysis. Includes initial configuration for TypeScript, Tailwind, and project metadata.
Christian Vidal Wolf