AI Personalization Engine for eCommerce Growth

Overview

Problem

Generic merchandising reduced engagement and failed to adapt to customer intent.

Solution

• Implemented hybrid recommendation models for browse, cart, and lifecycle journeys
• Added experimentation framework for rankings and creative variants
• Connected recommendations across web, app, and CRM channels

Outcome

• 14% increase in conversion rate
• 18% uplift in average order value
• 22% increase in repeat purchase rate

“Personalized experiences became a measurable revenue lever in one quarter.”