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Using intelligent search to support product research

Posted: Thu Feb 06, 2025 3:18 am
by Mitu100@
One step further, on the product detail pages, customers have already revealed what they’re looking for, so here it makes sense to display alternatives in the form of related products. In addition, complementary products can be used as a basis for cross-selling. The more product detail pages a customer visits, the more precise the recommendations become.

A recommendation highlight can also be found in the shopping cart. Here customers are explicitly informed that they can get free shipping if their order exceeds a certain amount. In luxembourg telegram screening addition, they are recommended individually selected items that bridge the gap to free shipping and that match the rest of the shopping cart and the customer’s preferences.

shopware-digitale-customer-experience-fackelmann-warenkorb-epoq
Relevant product recommendations in the shopping cart


If a customer already knows which product they want to buy, they can also use the intelligent search. This shows customers matching search and product suggestions, categories and brands in a preview window as soon as they start typing in the search field. This way, shop customers are guided quickly and easily to the desired product. Personalised search results that are tailored to the personal interests of customers could also offer an even more targeted search option.

If no suitable product is found for the search query, Fackelmann displays alternative suggestions on the “no results” page to keep customers in the online shop despite their inconclusive search.

All of these personalisation measures that Fackelmann uses create an inspiring digital customer experience.