Recommendation engine lifts average order value by 31%

Industry: Retail & eCommerce

The challenge

A growing online retailer showed every customer the same catalogue and was losing cross-sell revenue to competitors with personalized stores.

The solution

A collaborative-filtering recommendation engine trained on 18 months of order history, showing relevant suggestions on product pages, in the cart, and in post-purchase emails.

The outcome

Customers find more of the catalogue, and baskets grew as a result.