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

Why Clusterfor Product Matching?

Complete View

Cluster monitors and collects item-level product data and seller performance across global channels to give customers the most complete view of the product attribution and GMV.

Comprehensive Catalog

The Cluster product data catalog is the industry’s most comprehensive at 1 billion items and growing, enabling customers to efficiently enhance their own complete and accurate product data content.

Global Matching

Gain full visibility across globally tracked channels including Amazon, Walmart.com and eBay, and identify items with different parameters including category, price, title, brand, etc.

GTIN Coverage

Through a partnership with GS1, Cluster is able to identify and validate GTINs, as well as assign recommended GTINs based on a probability score, by using keywords or product descriptions.

Best Practices for Product Matching

Technical Overview

FAQs

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.

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.

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.