Warmteservice patrons work on heating, plumbing and other installations. Once started on a job, the last thing you want is to realise you’re missing some parts or materials. SPARQUE makes sure customers don’t forget any important items for the job by showing relevant recommendations. When a product is added to the cart, there is a pop-up with recommended products that go together well with the added product and with the items already in the cart.
Happy customers and happy colleagues
In B2B, recommendations extend far beyond the webshop; they add to the authority ascribed to the seller. Do you understand what you are selling? The bar is pretty high when it comes to B2B. Customers and colleagues often are expert users of the products. Warmteservice has used that expertise to tune the algorithms used for recommendations. With high customer satisfaction as a result. Customers can quickly and neatly complete their orders without forgetting critical parts or materials. Of course, individual preferences have a place in these relevant recommendations.
How does it work? SPARQUE’s unique Build-your-own-algorithm feature allowed Warmteservice to maximise the use of order and PIM data. The foundation is ‘frequently bought together’. But it is adding similarities between product properties, brand and model to the algorithm that made the difference between passing grade and the high quality recommendations. Also, recommendations are based in part on what more is in the cart. More products increase the accuracy of the recommendations. Feedback data from Google Analytics (products displayed, viewed or added to cart) is also fed to the algorithm. Relevante recommendations? Done.