Image-led discovery
Finds visually related SKUs from shopper photos and screenshots
E-commerce & Selling
Shopping & Marketplaces
ViSenze
Shoppers often know what an item looks like but not the words to search for. ViSenze gives retailers visual search, catalog tagging, and recommendation APIs suited to image-heavy product catalogs.
Runs on
Web
Android
iOS
Available on
Web
Built for
Enterprise
Developers
Marketing
Overview
What is ViSenze?
What changes in the storefront
ViSenze plugs visual AI into retail sites and apps. It can turn uploaded photos, screenshots, or camera images into product matches, while its search and recommendation tools use catalog attributes and shopper behavior to rank relevant items. The strongest fit is a retailer or marketplace with a sizable fashion, home, or lifestyle catalog, not a merchant wanting a plug-and-play widget.
- Discovery: visual and text-led product finding.
- Catalog: automated attribute tagging and enrichment.
- Merchandising: controls for business rules and ranking.
Buying and operating it
This is enterprise infrastructure sold through consultation rather than a public self-serve plan. Deployment typically involves catalog feeds, API or SDK work, relevance testing, and coordination between commerce, data, and engineering teams. It can improve discovery across web and mobile storefronts, but the workload is heavier than installing a standard ecommerce search app. Pricing is custom, so cost comparison requires a sales process.
Capabilities
Key features
Automate product tagging
Extracts searchable attributes from catalog imagery
Personalized recommendations
Ranks products using behavior and visual similarity
Apply merchandising rules
Boosts, buries, and filters items around commercial goals
Keep exploring
Teams also considered
When shoppers cannot put a product into words, Syte uses visual AI to connect images and intent with relevant items across a retailer’s catalog.
Lily AI enriches retail product catalogs with customer-centered attributes, helping enterprise brands improve product discovery, recommendations, and marketing feeds.
Poor retail search buries relevant stock and costs conversions; Constructor uses shopper behavior to improve product discovery. It is especially good at ranking large catalogs around purchases rather than simple keyword matches.
Still weighing your options?
Every ranking here is powered by community votes and discussion — no paid placements, ever. Find the tool that actually fits your team.