Closed-Loop Deep Learning Improves E-Commerce Pricing and Forecasting

A new closed-loop deep learning framework integrates demand forecasting with dynamic pricing to improve revenue and accuracy in e-commerce, validated on UK and US retail datasets. The approach demonstrates notable revenue gains especially for high price-elasticity goods by continuously updating forecasting models with real-time demand feedback.

This Wire brief sits within Fusion42's coverage of E-commerce.