Fix product discovery where it breaks: the moment of intent.
Shoppers type one intent dozens of ways. searchHub shapes intent as they type, then rewrites every variant to the proven query — all before your engine looks anything up. It runs continuously, without hand-built synonym lists — and you can override any rewrite.
Shoppers reveal intent step by step. But every touchpoint guesses alone.
A shopper rarely tells you what they want in one go. They type a query, fix a typo, rephrase, click a suggestion, refine again — a trail of small interactions that only makes sense as a whole. And e-commerce data is sparse: most queries appear only a handful of times, so no single interaction carries enough signal to call intent reliably. In a world this sparse, every interaction counts — intent only becomes verifiable when that whole trail is aggregated into one view. No individual touchpoint has that view.
And an AI product-discovery engine won't have it either: it's just one more touchpoint interpreting the same noise, one query at a time.
Shape intent as they type.
Guide discovery even before the first keystroke. searchHub surfaces the different purchase intents hiding inside one keyword — typo-free, duplicate-free, ordered by what actually converts — so shoppers reach the right products before they even hit enter.
Rewrite every variant to the proven winner.
People search for the same thing in dozens of ways. searchHub groups all of those spellings, typos and phrasings together, picks the one that performs best, and quietly swaps it in before your engine looks anything up — so every shopper gets the results of the best-performing search. And when a curated page is the better answer, smartRedirects sends them straight there instead.
Two moves, one intent: shape it, then translate it into the catalogue’s own language.