Which Listing Is Your Product?
Retailers, marketplaces and competitors describe the same product in their own words, with their own codes. Before you can compare prices or assortment, you have to know which of their listings are your products, and their data was never built to tell you.
One true match found, one similar product counted as a match, and one real match missed. The price gap is wrong.
Close Is Not The Same Product
Price and assortment intelligence starts with a match: this listing on that site is this product in your catalog. External listings make that hard. Titles are written for search, not accuracy. Codes are missing, or the retailer uses its own. The same product shows up under a bundle name, a pack size or a seller’s private label.
Two kinds of errors follow. Similar but different products get matched, like last year’s model or a different pack size, and you react to a price that is not a competitor’s price for your product at all. Real matches are missed, so your view of the market has gaps exactly where listings are written differently.
Teams spend hours checking matches by hand, and the work starts again each time feeds refresh or a new retailer is added.
False Matches
A previous model or different pack size is compared as if it were your product.
Missed Matches
Listings written differently from yours never make it into the comparison.
Endless Rework
Every feed refresh and every new retailer means checking matches again.
Resolve External Listings To Your Catalog
Treat matching to the market as an entity resolution problem. Bring retailer, marketplace and competitor feeds into your data platform, compare each listing to your catalog on brand, model, size, variant and any shared codes, and attach the listings that match to your product’s ID.
Keep it current as feeds change. New and updated listings are matched as they arrive, and listings for different models or pack sizes stay apart, so price and assortment comparisons use real matches only.
The previous model, the XM4, stays a separate product even though its title is one character away.
Match On The Details
Brand, model, size and variant, not just a similar-looking title.
Attach To Your Product ID
Every external listing that matches points to your product.
Current With Every Feed
New and changed listings are matched as they arrive.
The Identity Layer Under Product 360
Zingg 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
Market Matching With Zingg
Learned Matching Plus Rules
Learned matching on titles and attributes, with deterministic rules on codes when feeds include them. How Zingg matches
Your Product, One ID
External listings resolve to the ZINGG_ID of your product. ZINGG_ID
Incremental Feeds
Only new and changed listings are matched on each refresh. Incremental flow
Test Before You Ship
Compare model versions on the same data to see which matches change. Model Diff
Marketplace & Competitor Matching Questions
Does Zingg collect marketplace or competitor data?
No. You bring the feeds you already have into your data platform. Zingg matches those listings to your catalog.
How does it avoid matching the previous model?
You label examples of products that look alike but are different, and Zingg learns which details, such as model number or pack size, separate them.
Can it match listings without UPC or GTIN?
Yes. Codes are used as rules when present, and titles, brands and attributes are compared when they are not.
Where does the matching run?
Inside your data platform: Databricks, Snowflake, Microsoft Fabric, Google Cloud or AWS.
Compare Against Real Matches
Resolve retailer and competitor listings to your catalog in your own data platform.