Raventic is semantic discovery for e-commerce — search and browsing that works from what a shopper means rather than from exact keyword matches against product titles. It names real retail customers on its landing page, including FlexDog, edinos, Svět svítidel, MK Lůžkoviny, freshlabels and KOH-I-NOOR HARDTMUTH, a spread of established Central European retailers rather than logos borrowed for credibility.
On-site search is where e-commerce quietly loses money, and semantic matching attacks the actual failure. A shopper typing ‘dining chair’ into a store that catalogues the item as ‘Model 402 upholstered side seat’ gets nothing, concludes the shop does not stock it and leaves — and because the search returned zero results rather than an error, nobody in the business ever sees the lost sale. Meaning-based retrieval fixes precisely that gap, and it needs no change to how the catalogue is written.
Two considerations. Semantic search is only as good as the product data behind it, so catalogues with sparse descriptions and missing attributes will see less benefit than the demo suggests — the work of enriching product data does not disappear. And pricing is demo-only, with a customer list weighted toward Czech and Central European retail, so ask specifically about language coverage and support hours if you are operating elsewhere.
