Engineering
Competitive Price Monitoring System for E-commerce
Browser automation for SKU-level price monitoring across Taobao/Tmall stores.
This project is a Python and Playwright-based automation system for monitoring product prices across Taobao/Tmall stores, with special attention to SKU-level price normalization and discount-aware price extraction.
Highlights
- Designed browser automation workflows for collecting product information and SKU-level pricing.
- Investigated issues caused by low-capacity SKUs misleading displayed prices.
- Explored LLM-based SKU normalization and product model matching.
- Target use case: multi-store e-commerce competitive intelligence and price tracking.
Context
Price comparison is often noisy because visible product prices may correspond to a small-capacity SKU, a discounted variant, or a mismatched product model. This project explores a more careful data collection and normalization workflow so competitive pricing can be analyzed at a meaningful product/SKU level.