Boost revenue by cross-selling

RAAB KARCHER – RECOMMEN­DATIONS

Displaying accessories together with products is quite a challenge

About Raab Karcher

Displaying accessories together with products is quite a challenge. Raab Karcher has a very comprehensive assortment in construction materials and it is just not feasible to manually connect all accessories for every product. SPARQUE.AI highlights what products are frequently sold together as personalized recommendations. Customers then can add the complementary products directly to the cart.

Product data is used to recognise and recommend complementary products

'Frequently bought together' - but better

‘Frequently bought together’ is a familiar foundation for cross-sell recommendations. These recommendations increase order values because customers add more (and higher-margin) items to the order. The more relevant the recommendations are, the higher the increase in average order value. Of course, recommendations need to take individual preferences of customers into account to be truly relevant; and construction professionals have strong preferences and want to work with familiar applications, materials and brands.

unique Build-your-own-algorithm feature combines order data with product data

Imagine. Done.

How does it work? SPARQUE.AI's unique Build-your-own-algorithm feature combines order data with product data. Besides ‘frequently bought together’, similarities in brand and model provides a lot of information about how well products go together. Products from the same design line match better than products from different lines. Also, products from categories located in the same branch of the category tree have a better fit. SPARQUE.AI algorithms are driven by data and designed by e-commerce professionals. Relevant recommendations? Done.

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