We built an intelligent price intelligence platform using Python and RPA to automatically gather, compare, and visualize competitor pricing and promotional data—empowering the business to stay competitive without relying on manual field surveys.
🛠️ System Workflow & Automation:
Data Extraction:
Automated bots scan competitor websites, online catalogs, and marketplaces to extract:
🏷️ Product prices
💸 Active promotions and discounts
🏪 Store-specific availability
Data Comparison:
The system matches extracted data with the internal product catalog (local vendors), identifying:
📈 Price differences
📉 Undercuts or overpricing issues
📍 Store location-specific gaps
Insights & Alerts:
Generates comparative pricing dashboards and sends alerts where local prices are not competitive.
Reporting:
Daily or weekly reports emailed to purchasing and pricing teams with:
🟢 Recommended price adjustments
🔴 High-risk items losing market share
📊 Offer performance trends
💡 Key Benefits:
✅ Eliminated the need for in-person surveys by field staff
📉 Reduced turnaround time for pricing analysis from days to hours
📊 Improved pricing accuracy and boosted competitive positioning
🔄 Real-time data helped adjust offers dynamically based on market trends
🚀 Outcome:
This solution enabled the business to stay ahead of competitors by adjusting prices in real time.
With zero manual effort and automated daily scans, the company optimized pricing strategies, increased sales conversion, and maintained a competitive edge across locations.
