Case Study: Jumbo achieves smoother, more personal shopping experiences with Springbok’s machine learning recommendation engine

Jumbo boosts basket additions by 30% with Springbok

Springbok helped a major retailer, Jumbo, explore how machine learning could be used to create a smoother and more inspiring online shopping experience for its customers. The challenge was to identify the best way to leverage new technology to make the process more enjoyable and effective.

Springbok implemented a machine learning-based recommendation engine for Jumbo's app. The solution provided personalized product suggestions, which led to a significant increase in customer engagement and sales. Measurable results included a 30% increase in basket additions and a 270% boost in conversions compared to unpersonalized lists, ultimately raising the average order size.

Jumbo