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Algonomy Personalization Suite:
Revenue from Orders With Recommendations
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 growing breadth of Blue Tomato’s product range became a challenge for their existing recommendation engine. With Algonomy, they aimed to:
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
Connect all digital path-to-purchase touchpoints — search, navigation, recommendations, and content — to deliver one personal experience that supports the complete customer journey.
Cross-sell and upsell seamlessly by leveraging product attributes and compatibility data. Create automated recommendations and bundles that take the load off your merchandisers.
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.
Let’s face it—customers nowadays expect deeper and relevant communication, not cookie-cutter-styled messaging across every channel.
Deliver a best-in-class customer experience, increase online sales, and drive operational efficiency at scale
