Retail & E-Commerce

Personalization Engine for E-Commerce

A European e-commerce brand

Challenge

The client's product recommendations were rule-based and generic, failing to capture individual customer preferences or browsing behavior.

Approach

We developed a hybrid collaborative filtering and content-based recommendation system, deployed as a real-time API integrated into their storefront and email marketing.

Results

  • 24% increase in average order value
  • 17% improvement in customer retention
  • 2.3x increase in email click-through rates

“The recommendations feel personal now, not random. Our repeat purchase rate speaks for itself.”

— VP of Digital, A European e-commerce brand

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