Our proprietary AI algorithm has been delivering unprecedented relevance for search and navigation for a long time. Now we are using the same technology to bring recommendations to the next level by creating a deeper understanding of how the products in your catalogue are connected.
The four pillars of our AI-driven recommendations
Our AI algorithm maps relationships between products and understands which other products fit the user's intentions. This allows you to display a wider range of relevant products and inspire with alternatives.
The use of purchase history and personal preferences enables you to present specially selected products that are relevant to each unique visitor.
Behaviour from products frequently bought together is spread to similar products that fit the same context. This makes it possible to recommend all relevant complementary products including new and niche products that lack behaviour to draw conclusions from.
The Top Lists feature in the Recommendation Suite makes it easy for you to highlight product groups like bestsellers, new arrivals or current promotions.
Our algorithm provides a wider and deeper selection of relevant products to display as recommendations. Products with fewer interactions absorb information from similar popular products – and thereby new and niche products have a better chance to be featured as truly relevant recommendations. That means a better experience for your visitors and the possibility for you to showcase more of your assortment and cross-sell relevant products.
Our proprietary AI algorithm provides a better customer experience
Quick implementation, zero maintenance