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Your product data is blocking everything on your roadmap. Search returns the wrong results. Personalization guesses instead of converting. AI initiatives stall before they ship. We fix that, at the infrastructure level, so your team builds growth features, not workarounds.
Battle-tested by top 15 grocers. Billions in transactions processed. What takes 6–9 months to build internally, we deliver in three weeks. At half the cost.
Search blames data. Personalization says attributes are incomplete. AI initiatives die in spreadsheets. The root cause is always the same.
A customer searches for “organic whole milk” and gets cookies. That is not a search problem. It is a data problem. Every failed query erodes trust and costs revenue you will never see in a report.
One shopper’s preferences span the entire store (produce, frozen, household, deli). Without whole-store product intelligence, recommendations are random. Engagement drops. Basket size shrinks. The personalization vendor gets blamed for a data problem they cannot solve.
Sponsored product targeting depends on accurate attributes. When taxonomy is inconsistent across your catalog, ad spend misses. Revenue that should be 5x sits at 1x. The targeting technology works. The data feeding it does not.
The foundation everything else gets built on
These APIs are built on structured, production-ready product data.
Your customers search for what they want and get something else. Our Search API runs on 100,000+ structured attributes per product. It understands that “organic whole milk” is not “organic cookies.” Searches convert because the data behind them is complete.
Learn More →Generic recommendation engines guess. Ours works. The difference is data depth: whole-store product intelligence across every department, not just the categories with clean data. Recommendations are accurate because the attributes are accurate.
Learn More →A shopper’s item is out of stock. Your system suggests something irrelevant. Trust drops. Our Substitutes API matches on deep product attributes, not just category proximity, so the replacement a customer sees is one they would actually choose.
Learn More →Category management, retail media targeting, promotional optimization: all of it depends on structured product taxonomy. When the taxonomy is right, retail media drives 5x revenue growth. When it is wrong, you are optimizing noise.
Learn More →We integrate with your existing PIM, eComm platform, and data sources. No rip-and-replace required.
Our infrastructure continuously structures your product data. 350,000+ unique products. 10,000 categories. 1,200+ attributes. The taxonomy your team would spend months building, we maintain in production, every day, without interruption.
Clean, structured data flows to every system in your stack. Search returns relevant results. Personalization converts. Retail media targets accurately. AI initiatives ship. Your existing tools perform the way they were supposed to, because the data feeding them is finally right.
What takes six to nine months to build internally, we deliver in three weeks. At half the cost.
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