Displaying accessories together with products is quite a challenge. Galvano sells everything needed for bathrooms and plumbing and carries a very deep assortment. What items fit well with another? It is not feasible to manually record all accessories for every product. Products move in and out of assortment, are temporarily unavailable and customer preferences may change.
The most likely accessories, data driven
Galvano uses personalised recommendations to help customer complete their orders. Recommended accessories are directly added to the cart with a click. ‘Frequently bought together’ is the foundation for accessories, while product properties play an important part in avoiding cold starts. Of course, the recommendations take into account the individual preferences of each customer.
How does it work? The recommendations are completely data driven and modelled with an algorithm. SPARQUE’s unique Build-your-own-algorithm feature helps Galvano transform the expertise of product managers and sales people into a fitting model. Besides ‘frequently bought together’, similarities in product properties add to a better prediction of which products are accessories. Relevant recommendations? Done.