Retail
Dynamic Price Optimization Engine
AI-powered pricing strategy optimizing revenue based on demand and competition
- Python
- Machine Learning
- Power BI
About this project
Developed a dynamic pricing engine that analyzes competitor prices, demand elasticity, inventory levels, and market conditions to recommend optimal pricing strategies. Implemented reinforcement learning algorithms to continuously improve pricing decisions. Increased gross margin by 8.5% while maintaining competitive positioning and sales volume.