E-commerce Recommendation Engine
Personalized product recommendation system using collaborative filtering
Client
TrendShop Online
Duration
4 Months
Services
Machine Learning
Platform
Web & Cloud
The Challenge
The retailer experienced a high bounce rate and low average order value. Their static product catalogs failed to engage customers with relevant items, resulting in lost cross-selling opportunities.
Our Solution
We developed a sophisticated recommendation engine utilizing collaborative filtering and natural language processing on user reviews. The engine adapts in real-time to user browsing behavior and purchase history.
Key Results
28% increase in average order value
35% higher click-through rate on recommended products
Boosted overall revenue by 18% in the first quarter
Enhanced customer retention and engagement metrics
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