Blue Tomato Leverages Algonomy’s AI-powered Recommendation Engine to Personalize Their Growing Catalog
- 3X Revenue from Orders With Recommendations
- 20% Increase in Avg. Basket Value
Blue Tomato is a European retailer for snowboarding, freeskiing, surfing, and streetwear. They own more than 55 shops in Austria, Germany, Switzerland, Finland, and the Netherlands. Their product range has over 400,000 items across 500 brands.
The Challenge The growing breadth of Blue Tomato’s product range became a challenge for their existing recommendation engine. With Algonomy, they aimed to:
- Reduce manual effort for merchandising and improving recommendation results
- Recommend matching items from the same as well as different product categories and collections
- Personalize on mobile devices as well, overcoming the challenges of a small screen
The value of the shopping baskets resulting from product recommendations has increased by an average of 20 percent, with an average of one more product purchased by each customer. The numbers apply as well for the recommendations shown on mobile devices, where significantly less products can be listed. But thanks to Algonomy, these are the most relevant.
Andreas Augustin, Head of Digital Customer Experience, Blue Tomato
Product Used Algonomy Personalization Suite:
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merchandising
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