Shoppers only see a part of your catalog.
\nSearch, filters, and AI decide what shoppers see. Your product data has the answers, trapped in prose and labels. We turn them into attributes that make products discoverable.
\nLive in weeks.
\nNothing gets replaced.
\nEvery attribute shows its source.
\nYour pages were written for shoppers. Now machines read them first.
\nOnly 66% of a typical product page is machine-readable, the lowest of any page type in retail. (Source: Adobe, 2026)
The attributes machines read are either buried or missing.
The detail is there in prose, but search and filters can't read it. We structure it into attributes they can.
\nSome of what shoppers look for was never written down. We derive it from the label and images, fully traceable.
\nWho we work with
Catalog attribution across 200+ categories, improving in-app search and discovery.
\nNon commercial research partnership on nutrition science and public communication
\nGS1 India solution provider for e-cataloging
\nOur consumer app, with 1.4M+ downloads and 8M+ product scans.
\nDigital partner for Eat Well Live Well, a healthy habits curriculum for schools.
\nMake your whole catalog discoverable.
\n44% of shoppers walk away when they can't find the information they need. (Source: Syndigo, 2025)
We structure every product across standard and custom attributes, built to your taxonomy, so more of your catalog gets found.
Intelligent Attribution
\nYour products, attributed to your own taxonomy, so shoppers find the right one through the search, filters, and recommendations you already run.
\n Explore →\nAI Agentic Commerce
\nYour catalog, structured for the AI assistants shoppers now use to find and buy. When someone asks AI for the right option, yours is in the running.
\n Explore →\nRecognition and coverage
\nQuestions we often get
\nHow is this different from enrichment we've used before?+
\nWe derive the attributes that were never written down, from labels, images, and ingredient lists, and build every one to your categories, attribute names, and allowed values. The same thing is described the same way across your whole catalog, so search and filters can rely on it. Every value shows where it came from, and accuracy is held to 95%.
\nDo we need to change our systems?+
\nNo. Whether your product data sits in a PIM, a catalog system, or spreadsheets, we deliver attributes there, and we handle the integration. Your search, filters, and feeds read them the way they read everything else.
\nHow do we know it will work on our catalog?+
\nStart with 100 of your own SKUs. We'll show you which attributes are present, buried, or missing, before you commit to anything.
\nHow long does it take?+
\nLive in weeks, depending on catalog size.
\nWhat does GS1 Sunrise 2027 mean for our products?+
\nRetail is moving from standard barcodes to 2D codes that link to product data, with a December 31, 2027 deadline. Shoppers and systems will read that data directly, so it needs to be accurate and structured. As a GS1 India solution provider, we structure your product data for 2D codes.
\nSee what's hiding in your catalog.
\nWe'll run it on your own SKUs and show you what's missing.
\n See it on your catalog\n