AI-Powered Recommendation Engine Boosts E-Commerce Sales by 28%

Client:

A leading online fashion marketplace with over 1 million monthly active users.

Challenge:

The e-commerce platform faced high bounce rates and low average order values. Shoppers were overwhelmed by thousands of products, leading to cart abandonment and decision fatigue. Existing recommendation tools lacked personalization depth.

Solution:

The company integrated an AI-powered recommendation engine that analyzed real-time browsing behavior, purchase history, and demographic data to deliver personalized product recommendations on the homepage, product pages, emails, and checkout screens.

The AI continuously optimized recommendations using feedback loops, improving accuracy as more data was collected.

Results:

✅ 28% increase in total sales
✅ 19% boost in average order value
✅ 15% reduction in cart abandonment rate
✅ Higher repeat purchase rates and customer satisfaction

Key Benefits:

🛒 Personalized shopping experience at every touchpoint
🚀 Faster product discovery for customers
💰 Increased cross-selling and upselling opportunities

Impact Quote:

"AI transformed our store into a personal shopper for every customer—helping them find what they love, faster." – Head of E-Commerce