B2B e-commerce price monitoring and analytics solution
PythonWeb scrapingData analysis
The Problem: No visibility on competitor pricing or product trends
In the competitive B2B ecommerce space, the client lacked reliable intelligence on competitor pricing or product movement. Decisions were reactive and often late, resulting in missed opportunities and pricing mismatches.
The Solution: Automated catalogue scraper with price tracking and movement analysis
This system turned passive competitor tracking into proactive market moves, helping the client beat rivals on both pricing and speed-to-market.
I built a Python-based web scraper to monitor entire competitor catalogues daily. The script tracked price changes and scanned for fast-moving products using quantity balance, a standard indicator for B2B bulk orders.
- Scraped thousands of SKUs across multiple competitor sites
- Logged price history to identify undercutting or hikes
- Used qty balance to flag fast-selling products in real time
- Data fed into a simple tracker for actionable decisions
When a product showed strong sales velocity, the client could rapidly introduce the same line and ride the momentum.