Retail

AI Personalization Engine for D2C Brand

Key Result28% basket increase

Built a recommendation and dynamic pricing engine that increased average basket size by 28% and improved repeat purchase rate by 35%.

The Problem

What Was Broken

A D2C e-commerce brand with 500K+ monthly visitors had flat conversion rates and declining repeat purchases. Generic product recommendations weren't moving the needle.

Our Solution

How We Solved It

We built a real-time personalization engine that serves contextual product recommendations, dynamic pricing, and personalized email campaigns based on behavioral signals.

Technology Stack

Technology Used

Collaborative filteringReinforcement learningElasticsearchNext.js storefrontSegment CDPCustom ML APIs

Results

Measurable Outcomes

28% increase in average basket size

35% improvement in repeat purchases

12% uplift in conversion rate

Real-time personalization for 500K+ visitors

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