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Trusted by founders & operations teamsSaaSE-CommerceFintechProfessional ServicesLogisticsStartupsTrusted by founders & operations teamsSaaSE-CommerceFintechProfessional ServicesLogisticsStartups
  • Client : VisionMatch
  • Industry : Retail
  • Services : AI Apps & Integration, E-Commerce Solutions
  • Year : 2025
  • Duration : 5 months
Visual Search Engine for E-Commerce

Project overview

Shoppers on VisionMatch's marketplace could not find products they had seen elsewhere. We added photo search across a catalogue of 200,000 items and wired it into the storefront and mobile app.

Client challenges & requirements

Text search failed for items shoppers could describe only visually, and the catalogue's inconsistent product data made keyword matching unreliable.

  • Large, fast-changing catalogue with patchy product attributes
  • Search had to return results in under a second on mobile
  • Headless storefront and native apps needed the same API

Our solution

We built an image-embedding pipeline that indexes new products automatically, a vector search API with sub-second responses, and a photo-upload flow in the web and mobile storefronts.

27%

Lift in search-led revenue

200k

Products indexed

0.4s

Average search time

3x

More searches per visit