- Introduced `useClaude` option in `AnalysisPipelineOptions` to toggle Claude LLM usage.
- Updated `processProductChunk` and `analyzeProducts` functions to accept and handle `useClaude` parameter.
- Modified argument parsing in various scripts (`bestsellers-by-category`, `mid-range-sellers-by-category`, `top-monthly-sold-by-category`, etc.) to include `--claude` flag.
- Enhanced `analyzeProductsInternal` to differentiate between LLM providers and handle requests to Claude API.
- Added error handling for Claude API responses and ensured proper configuration for using Claude.
- Updated documentation and usage messages to reflect the new `--claude` flag.
- Add `writeSupplierWorkbook` function to create Excel workbooks for supplier analysis results.
- Introduce `SupplierExportSummary` type for summarizing export data.
- Create tests for `writeSupplierWorkbook` to ensure correct sheet creation and data population.
- Implement supplier scoring logic in `supplier-scoring.ts` to evaluate product profitability and demand.
- Add tests for supplier scoring to validate scoring logic and verdict determination.
- Enhance UPC file analysis to integrate supplier scoring and export results to Excel.
- Update database writing logic to accommodate new supplier analysis results.
- Refactor types to include supplier-specific data structures and scoring metrics.
- Ensure proper cleanup of temporary files after tests.
- Introduced `amazonIsSeller` and `amazonBuyboxSharePct90d` fields in KeepaData type.
- Updated database schema and queries to store Amazon seller status and buy box share percentage.
- Enhanced product analysis results with new metrics from Keepa API.
- Modified frontend components to display Amazon seller status and buy box share percentage.
- Implemented reanalysis functionality for products to refresh Amazon-related metrics.
- Introduces a new script to discover categories and identify products with high monthly sales volume.
- Filters candidates based on sellability status and a configurable monthly sold threshold.
- Enriches product data with Keepa and SP-API metrics before performing LLM-based analysis.
- Persists results to SQLite and includes unit tests for the core processing logic.
