Back to Case Studies


Retail & Supply Chain
Dynamic Pricing Optimization
RL and elasticity-driven pricing engine that increases revenue and margins by adjusting prices in real-time.

Revenue Increase
18
%
Margin Improvement
12
%
Real Time Adjustments
The Challenge
Static pricing leaves 15-20% revenue on the table due to poor competitive positioning.
Our Solution
ML-based dynamic pricing engine with competitor monitoring and demand elasticity modeling to automatically adjust prices in near real-time.
TECHNOLOGIES USED
PythonReinforcement LearningScikit-learnPostgreSQLRedisReact Dashboard
Ideal For
E-commerce platforms
Retail chains
Travel booking
Visual Insights

