Real results from AI in fashion retail. See how brands and retailers used YesPlz search, recommendations, and personalization to cut manual work and grow search revenue. Every number below comes from a live deployment.
Across 400,000 products, 44 countries and a million searches a day, WConcept replaced RichRelevance and 1,000+ hand-managed synonyms: 1.5x click-through, 1.7x average cart size with the Virtual Mannequin Filter, 99.99% uptime.
Head-to-head against Algolia on the same traffic, in a live A/B test: 16% more orders driven by search, 11% higher search-to-cart, and four times fewer searches that returned nothing at all.
A small DTC team got enterprise-grade discovery in four weeks: 5x add-to-cart on search specifically, +13% search accuracy, and 2x on Similar Styles with no new headcount.
A parent shopping for a size 6 party dress gets results, not an empty page — and 5x more of those searches end in an add to cart than the industry average.
Style-matched PDP recommendations, silhouette, pattern, occasion, not rule-based "similar items" also lifted checkout conversion 13.5% and average cart value 10%, inside two weeks of going live.
Tagging tuned to AZA's own categories such as holiday, season, occasion feeds an outfit engine that builds three complete looks for each of 30,000 products, covering day, night and weekend. Styling volume no team could produce by hand, refreshed continuously.
The Handsome arrived with a picture of the discovery experience they wanted. We built it: a fashion quiz that reads style preference, the Virtual Mannequin Filter for silhouette-first browsing, and AI similar-style recommendations — one custom stack, not a template with their logo on it.
A circular fashion startup launched with 10 custom filters built for one-of-a-kind pre-owned inventory from first call to live in under a month, without hiring an AI team.
Auto-tagging and the Mannequin Filter shipped with the first release, so a lean team spent its engineering time on the marketplace instead of the data pipeline.
Five thousand new products land every day and are tagged as they arrive — no queue, no batch window, no volume penalty on search performance.
