Case Study

E-commerce Dynamic Pricing

E-commerce4 min

Maximizing revenue and conversion with AI-powered price adjustments driven by demand, inventory, and competitor signals.

Project Overview

Static pricing failed to react to demand fluctuations and competitor moves, causing revenue leakage and over-discounting. We delivered a dynamic pricing engine that analyzes live sales, inventory, and market data to optimize prices in real time.

Key Challenges

Static Pricing Models

Over-Discounting

Fragmented Market Data

Manual Price Updates

Lack of Personalization

Our Solution

  • Demand Elasticity Models
  • Competitor Price Monitoring
  • Automated Price Adjustments
  • Segmentation-Based Pricing

Key Technologies

Python (XGBoost)AWS LambdaAWS CloudSnowflakePower BI

Impact

22%

Increase in total revenue

35%

Boost in conversion during promotions

50%

Reduction in manual pricing effort

Client Testimonial

“Our pricing is now as agile as our customers’ shopping habits. The revenue lift has been substantial.”

— Chief Commercial Officer, E-commerce Platform