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Product Matching
Create a Superior Experience With Quality Product Data
When marketplaces do not have a complete understanding of their product variants, they can oftentimes end up with duplicate listings, which confuses shoppers and in turn, sends them to competitor sites. What’s more, duplicate listings can create:
- Poor customer experience and confusion where shoppers will question why two products are ‘different.’
- Poor seller experience as merchant listings are lost, subsequently resulting in overall lost sales.
- Poor marketplace experience as inventory is hard to maintain when there are too many product data variants.
Building a quality canonical product data catalog to remove duplicates can be a major challenge, but Cluster can help identify, validate and enhance product data by matching those duplicate products for a superior experience, so inaccurate information doesn’t find its way in front of your shoppers.
Identify duplicate listings
Industry Types
Marketplaces
Complete solution from catalog integrity and assortment to seller onboarding and more
Financial Institutions
See the big picture, predict trends and streamline investment opportunities with the right data
Why Clusterfor Product Matching?
Complete View
Comprehensive Catalog
Global Matching
GTIN Coverage
Best Practices for Product Matching
- When marketplaces are building a canonical product data catalog, better input data provides users with better results.
- For financial institutions, being able to see a more complete (cross-channel) picture, they are able to streamline more successful investments.
- Cluster can help enterprises not just understand the marketplace data better, but can also identify if that product data is good enough by providing a match score.
Technical Overview
Product Matching API
to identify product data
FAQs
Does Product Matching return results in multiple languages?
Today, the product matching API returns results in English, but Cluster is making plans to expand results in multiple languages so check back to see if your locale is covered or reach out and request another language at info@datacluster.com.
How does Cluster identify product data with a match score?
For items that are not an exact match, Cluster can leverage keywords and/or alternate identifiers to return results with a match score to show the confidence level of the product data match.
Why is keyword matching important?
Because there are so many sellers inputting item listings, and marketplaces have certain requirements around identifiers, Cluster has also built a functionality to identify products through keywords. Customers can input a product with no GTIN, or even an invalid GTIN, but a 0.50 Cluster match score based on keywords. Cluster can then look for items across multiple marketplaces, and get all relevant listings with confidence of >0.75 that are assigned with GTIN. Cluster can then validate that GTIN against GS1 data, and eventually assign it with recommended GTIN if needed.