Automated daily scraping engine executing at 3:00 AM across registered competitor URLs without requiring manual intervention.
— Case Study
AI & Machine LearningE-Commerce & RetailHealthcare
AI-Powered E-Commerce Price Intelligence Platform
A medical aesthetics retailer had no automated method to track competitor pricing across fragmented online stores. We built an AI-powered competitive intelligence platform that automatically scrapes competitor websites daily, uses OpenAI to parse site-agnostic HTML structures, and triggers same-day price alert notifications.
— The Challenge
The Problem We Solved
Monitoring competitor prices across medical aesthetics e-commerce channels required constant manual checking, creating pricing delays and missed market opportunities:
Operations teams manually visited competitor websites daily to record prices, a process that was slow, inconsistent, and unscalable.
Traditional web scraping tools failed across competitor sites due to custom HTML layouts that broke scrapers upon structural updates.
Lack of automated alert triggers meant the brand was frequently late to react when competitors dropped prices or went out of stock.
Operations staff spent hours compiling pricing spreadsheets rather than taking proactive pricing actions.
4
Challenges Identified
Every challenge was systematically addressed through tailored engineering and design — no workarounds, no compromises.
— Our Solution
How We Solved It
We designed and built an automated competitive price monitoring system combining AI HTML parsing, daily scheduled extraction, and intelligent alerting:
Site-agnostic OpenAI HTML parsing layer extracting product prices, stock availability, and SKU details regardless of layout changes.
Color-coded price position dashboard providing an at-a-glance matrix of catalog alignment, lowest-price highlights, and undercut warnings.
Automated alert notification system dispatching email warnings immediately when competitors drop prices or face stock-outs.
Interactive watchlist, historical price trend charts, and CSV data export tools backed by PostgreSQL and Drizzle ORM.
— Tech Stack
Technologies Used
React
TypeScript
Material UI
Node.js
Express.js
PostgreSQL
Drizzle ORM
OpenAI API
— Impact
Results & Outcomes
- Daily 3 AM
- Automated Scraping Engine
- OpenAI API
- Site-Agnostic Parsing
- Same-Day
- Price Drop Alerts
Automated daily market monitoring across the entire competitive landscape without requiring manual checking.
Eliminated brittle scraper maintenance using AI HTML parsing to adapt to competitor website layout changes automatically.
Delivered same-day email alerts for competitor price drops and stock changes, enabling immediate pricing adjustments.
Saved operations staff hours of weekly manual data entry while providing clear price trend analytics.
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