AI-Powered Personalization Engine for an E-Commerce Leader

The Challenge

Increasing revenue per visitor by replacing rule-based product recommendations with ML-driven personalization.

Our Approach

Our team conducted a thorough discovery process, reviewing existing architecture, interviewing key stakeholders, and benchmarking current performance. From there, we designed a phased implementation plan that minimized disruption while delivering early wins.

The Solution

We designed and built a production-grade system tailored to this client's specific requirements and constraints. The architecture prioritized reliability, scalability, and operational simplicity — so the client's team could own and evolve it after our engagement.

Results

Deployed a real-time recommendation engine serving 2M+ daily users, increasing cart conversion by 23%.