Case Study

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

Client Overview

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:

Product Used

Algonomy Personalization Suite:

Top eCommerce Brands Trust Algonomy

Move from Segmentation to 1:1 Personalization at Every Customer Touchpoint

Complete, unified commerce personalization

Connect all digital path-to-purchase touchpoints — search, navigation, recommendations, and content — to deliver one personal experience that supports the complete customer journey.

Most comprehensive library of 150+ personalization strategies

Accelerate time to market with our strategy library that ranges from wisdom of the crowd and collaborative filtering approaches to deep learning visual discovery and NLP approaches.

Advanced merchandising

Cross-sell and upsell seamlessly by leveraging product attributes and compatibility data. Create automated recommendations and bundles that take the load off your merchandisers.

Algorithmic decisioning for every user with real-time context

Leverage AI to detect each shopper’s stage in the buying process, and combine it with their affinities to pick the best strategy that delivers the most relevant 1:1 experience while meeting your revenue or engagement goals.

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