Catalogs drift. The same product arrives from suppliers, sits in your ERP and PIM, and is listed on your site and on marketplaces, with different titles, attributes and identifiers in each. Nothing tells your systems they are the same product.
For agents. Agents answer about the right product, not a lookalike with a similar title.
Three products to inventory, pricing and reporting. It is one pair of headphones.
Product data starts in one place and spreads. Suppliers send it in their own formats. Operations create items in the ERP, merchandising writes titles for the website, channel teams adapt listings for each marketplace. Every copy changes a little: a title shortened, a unit rewritten, a variant split out, a code left off.
Soon no system agrees on what the products are. Duplicate SKUs split stock and reviews. Prices for the same product drift apart across channels. Matching your range against retailers and competitors is guesswork, and reporting by brand or manufacturer undercounts, because the same company appears under several names.
Exact matching on codes covers only part of the problem, because codes are missing, local or wrong in exactly the records that cause trouble. The rest is left to spreadsheets and manual review.
The same item exists several times, splitting inventory, sales and reviews.
Copies of one product are priced and promoted independently.
Retailer and competitor listings cannot be reliably tied to your products.
Resolve products as entities in the data platform where your catalog, ERP, PIM and channel data already land. Match records on codes where they exist and on titles, brands and attributes where they do not, and give each real product one stable ID.
Then build on that ID: golden product records, a deduplicated catalog, listings matched to the market and products linked to the companies that make them. Every team and tool reads the same products.
Catalog, inventory, pricing and reviews all read this one product.
Match on UPC and GTIN where present, and on titles and attributes everywhere else.
Every copy of a product, in every system, shares one stable ID.
Merchandising, pricing, supply chain and reporting read the same products.
Unify product data across catalogs and channels into golden product records.
Learn moreFind duplicate SKUs and listings with different titles, units and attributes.
Learn moreMatch your products to retailer, marketplace and competitor listings for price intelligence.
Learn moreResolve brands and manufacturers behind products for sustainability and sourcing insight.
Learn moreZingg runs as a workload inside your data platform and gives every entity one persistent ZINGG_ID. Everything above it reads the same resolved entities.
The same layer powersCustomer Analytics & MarketingFinancial Crime & RiskPrivacy & ComplianceSupply Chain & ProcurementMaster Data ManagementAI & Data Foundations
Every resolved entity keeps one global ID across systems and runs. ZINGG_ID
Matching learned from your labels, combined with deterministic rules where you have them. How Zingg matches
Only new and changed records are matched, and IDs persist. Incremental flow
Runs on Databricks, Snowflake, Microsoft Fabric, Google Cloud or AWS. Data never leaves your account.
A single, resolved view of each product across every system that holds a copy of it: supplier feeds, ERP, PIM, website and marketplaces, with one stable ID per product.
Codes are often missing, local to one system or wrong. Zingg uses codes as rules where they are reliable and matches on titles, brands and attributes where they are not.
No. Zingg resolves product records and adds a ZINGG_ID in your data platform. Your PIM keeps managing product content, now on resolved products.
Inside your data platform: Databricks, Snowflake, Microsoft Fabric, Google Cloud or AWS. Your data does not leave your account.
Resolve products across catalogs, channels and marketplaces in your own data platform.