AI-powered personalization engine for e-commerce
+23%
Conversion rate increase
+18%
Average order value
<100ms
Recommendation latency
2M+
Monthly visitors served
The challenge
A mid-market e-commerce retailer with 2M+ monthly visitors was showing the same product recommendations to everyone. Conversion rates were flat despite growing traffic.
Our solution
We built a real-time personalization engine that combines collaborative filtering, content-based recommendations, and contextual bandits. The system serves personalized product recommendations, search re-ranking, and dynamic homepage content — all updating in real-time based on user behavior.
Key highlights
Real-time signals
User behavior updates recommendations instantly
Multi-model ensemble
Collaborative + content-based + contextual bandits
Search re-ranking
Personalized search results per user profile
Dynamic homepage
Content adapts to each visitor in real time
Tech stack
“The ROI was clear within the first month. Every visitor now gets a different, relevant experience.”
Head of Product
European E-commerce Retailer
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