Dynamic Pricing Optimization System

The Challenge

An e-commerce retailer with thousands of SKUs was losing margin to competitors with more agile pricing strategies. Manual price updates were slow and couldn't respond to market changes, competitor actions, or demand fluctuations in real-time.

The Solution

We built a machine learning-powered dynamic pricing system that analyzes competitor prices, demand patterns, inventory levels, and market conditions to recommend optimal prices. The system runs on AWS Lambda for scalability and updates prices across all channels in real-time while respecting business rules and margin constraints.

Results

• 12% increase in overall profit margins
• Prices updated 50,000+ times daily across all SKUs
• Competitive response time reduced from days to minutes
• 15% reduction in excess inventory through demand-based pricing

Technologies Used