Ar-range built MyBed.pl a semantic fabric search. Shoppers describe what they picture, “looks like jeans” or “an elegant fabric that hides stains”, and semantic search answers in under 10 seconds with the right fabrics from 542 across 21 collections, then shows the bed in that exact fabric from 2.2 million prerendered visuals.
MyBed sells beds in 542 fabrics across 21 collections. Nobody shopping for a bed knows those collection names, and nobody wants to open 21 of them. They know what they picture: something soft and grey, a fabric that will survive a dog, one that looks like linen.
A filter list has no box for any of that. It offers colour groups and collection names, so the shopper either learns the vocabulary of the catalogue or gives up. Most give up, and the store pays for that traffic twice.
Every collection has its own names and its own logic. The buyer has a sentence.
Our shoppers stopped scrolling and started describing. They type what they picture, and the right fabrics come up.
542 fabrics across 21 collections. Polish shoppers describe colour and feel their own way (“autumn leaves”, “looks like linen”), and a filter UI had no box for any of it.
Tell us how many fabrics and collections you carry. We'll tell you straight whether semantic search in your buyers' own words is worth wiring into your store.
