E-commerce Recommendation Engine

GlobalShop was struggling with low conversion rates and customer engagement on their e-commerce platform. Their existing recommendation system was based on simple rules and wasn't effectively capturing customer preferences or browsing patterns.

We developed a sophisticated machine learning recommendation engine that analyzes customer behavior, purchase history, and product relationships to deliver highly personalized product recommendations.

• 1

  35% increase in overall sales

• 2

  42% higher click-through rate on recommended products

• 3

  27% increase in average order value

• 4

  68% of customers reported finding products they wouldn't have discovered otherwise