Perfectly prepared for any job
WARMTESERVICE – RECOMMENDATIONS
Warmteservices' customers work on heating, plumbing and other installations. Once started on a job, the last thing they want is to realize they’re missing some parts or materials. SPARQUE.AI 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 online store; they add to the authority ascribed to the seller. Do you understand what you are selling? Do you understand the needs of your customer?
Customers and staff of Warmteservice are expert users of their products. The company 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, too, in these recommendations.
How does it work? SPARQUE.AI’s unique Build-your-own-algorithm feature allows Warmteservice to maximize 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 else 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. Relevant recommendations? Done.
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