Market
Fashion apparel market is expected to reach USD 1.5 trillion by 2027 (Statista), while visual search is projected to hit USD 150 billion by 2032 (Zion Market Research).
- Visual search adoption and competition heat up:
- 20% of 20B / month Google Lens searches already related to shopping
- Amazon’s visual search grew +70% YoY in 2024
- The majority of marketplace users already try visual search (by photo, by product picture) each month:
- Big asian e-commerce and visual search pioneer reports 20%+ of ALL sales generated through the search by photo alone
- Eastern European marketplace leaders: 5% of ALL sales come through search by product picture (and 4% of ALL sales come from visual discovery and AI outlook recommendations).
- This tendance is only growing with the time as users start to increasingly adopt picture-based searches with the advancement of technology
- Visual discovery is the primary shopping journey for fashion, however Google Lens quality / performance is unavailable for the most of industry players
- Fashion e-commerce faces a “catch-up or lose” moment
Business Impact Potential
- Up to +20% higher online sales (=search by photo and recs)
- -10% return rate reduction (=better recommendations of related items)
- Up to X2 catalog penetration (=long tail search & discover without click data)
(This does not account for additional profits, such as automated product tagging, better search quality, improved matching / deduplication and more.)
Problem
- General purpose AI (commercial / open source) is low quality / functionality:
- Poor search relevance (FashionClip p10 = 16.6%, our p10 = 87.3%)
- No reliable outfit recommendations / look builders
- Very expensive inference
- Existing commercial SaaS for fashion e-comm = expensive, slow, privacy risk
- In-house development = $3M+ engineering cost
Users of Google Lens / Pinterest are used to the quality still unavailable in fashion e-commerce sites, that's why poor implementations never take off / generate surplus in retention or GMV.
Solution
Meet DressCoder.AI:
🔍 Search by Photo
Groundbreaking multi-object realtime visual search that actually understands fashion
💡 AI Recommendations
Neural “Look Builder” trained to drive upsells and minimize returns
Why DressCoder.AI?
- Google Lens search quality. Fashion-magazine-level recommendations. Sophisticated SOTA 1B+ images training set
- Works even with high complexity content (UGC/secondhand/street/video)
- High speed, ultra-low infrastructure footprint; a ready-to-go infra for handling millions of SKUs
- GDPR-compliant, SaaS or on-prem/private cloud SDK
- Designed by Google-caliber ML&reverse image search devs and $45B GMV fashion marketplace experts with 15+ years of experience in deep learning and big love for fashion ❤️
Commercial deployments:
Largest Eastern Europen fashion marketplace with 16M MAU
DressCoder.AI served as a provider of Search by Photo feature
Want to test with your own data?