Syte

The only AI-powered product recommendation and discovery platform built from the ground up for apparel ecommerce.

· for mid-market

Syte runs visual search, camera search, and similar-item recommendations on apparel storefronts, using computer vision to tag garments by attributes like neckline, print, and silhouette. Shoppers upload or snap a photo and land on matching SKUs; merchandisers get attribute-level controls to tune ranking. Fashion and accessories retailers with deep catalogs are the target buyer, particularly those whose conversion depends on look-based browsing rather than keyword queries.

> pick this if

Pick this if you're an apparel, footwear, or accessories retailer with 10K+ SKUs, frequent drops, and a buyer journey that depends on look-based discovery rather than text queries.

> look elsewhere if

Look elsewhere if you sell outside soft goods — grocery, electronics, home, beauty — or your catalog is small enough that keyword search and manual merchandising already cover discovery.

> what it does for ecommerce

Indexes catalogs by visual attributes beyond standard text metadata fields
Powers camera and image-based search on apparel PDPs and apps
Surfaces visually similar and complete-the-look recommendations across sessions
Gives merchandisers tag-level control over discovery and ranking rules
Fits fashion retailers with large SKU counts and frequent drops

> how you'd use it

Mid-market fashion retailer, $30M–$80M GMV, 4–8 person ecommerce team with 1–2 merchandisers
Replacing keyword-only search on a Shopify Plus or SFCC storefront where 60%+ of traffic browses dresses, tops, and accessories without specific product names
→ Visual similarity rows on PDPs lift add-to-cart on browse sessions and cut zero-result searches as shoppers filter by neckline, print, and silhouette instead of guessing keywords
Enterprise apparel brand, $150M+ GMV, native iOS/Android app with 500K+ MAU
Adding camera search to the mobile app so shoppers photograph street-style or influencer images and land on in-stock SKUs from the current season
→ Camera-search sessions convert 2–3x site average and become a measurable acquisition channel tied to social-driven demand
Multi-brand fashion marketplace, $50M–$200M GMV, 10+ merchandisers managing weekly drops across categories
Auto-tagging tens of thousands of new SKUs per month by visual attributes and giving category managers tag-level boost/bury rules for discovery surfaces
→ Cuts manual attribution work by 70%+ and lets merchandisers ship ranking changes without engineering tickets