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Are your competitors' product codes linked via EAN?
Schedule a meetingDiscover our product matching solutionThe EAN code (European Article Number, known as GTIN in GS1 terminology) isa product’sunique numerical identifier, typically a 13-digit number found beneath the barcode. In pricing, it serves as the key that links your internal data (inventory, sales) to external data (competitor reports, market panels).
The Essentials in 6 Questions
A standard, unique identifier, typically 13 digits long (EAN-13).
Manufacturers, distributors, pricing teams, and product data teams.
As soon as a product code is created, and each time the product is modified.
Cash register, public access facilities, logistics, e-commerce, price lists.
Unambiguously match identical products across retail chains.
Primary matching key, supplemented by attributes when the EAN is missing.
Because it uniquely identifies a reference across all systems—both yours and your competitors'.
Using the EAN, a retailer can synchronize 4,200 SKUs across four stores in just a few minutes instead of several days.
Yogurt Aisle · 4,200 products compared across 4 retailers
Items are automatically matched using the EAN code in just a few minutes.
Manual matching by name, format, and packaging · without EAN
Automatic and reliable matching via the EAN code
Without an EAN, each SKU must be matched manually by name, format, and packaging. With an EAN, the match is immediate: the EAN 3033710065530 identifies a 4×125 g plain yogurt from a specific brand, regardless of which retailer sells it. Competitive monitoring based on product matching relies on this correspondence.
Two prerequisites: a clean product database and a matching system capable of handling cases without EAN codes.
The tools use the EAN as the primary matching key and then switch to descriptive attributes. This is the logic behind our product-matching solution, which powers our competitor price reports.
A reused, incorrectly entered, or misinterpreted EAN prevents any reliable comparison.
Short answers to the most frequently asked questions about the EAN code.
The EAN code (European Article Number, now known as GTIN in the GS1 nomenclature) is a unique identifier assigned to a product. Typically consisting of 13 digits, it identifies a product in a standardized way at retail locations, in ERP systems, on e-commerce sites, and in product data tools.
It is the most reliable tool for comparing identical products across retailers. It facilitates product chaining, improves competitive matching, and ensures that analyses focus on strictly equivalent products.
No. Some retailers don't publish EANs, and private label or exclusive products have their own unique references. Pricing solutions then supplement the EAN with features, descriptions, images, and AI.
The EAN is a standard identifier used throughout the entire supply chain. The SKU (Stock Keeping Unit) is an internal reference specific to each company, used for inventory management.
They use it as a starting point to compare competing products, track price changes, feed data into the automatic chaining process, and ensure the reliability of competitive analyses.
Key Takeaways
Would you like to compare your prices item by item, without any mismatches?
Booper uses EAN codes to ensure the accuracy of your product matching.
Let's talk about your product match →Discover our product matching solution
The success of a pricing project depends not only on the tool, but also on a rigorous methodology that combines data quality with team buy-in. This structured approach allows you to move away from risky manual management and implement automated rules, thereby ensuring long-term profitability and commercial consistency. Talk to a pricing expert (Booper demo).

Product matching or linking is the foundation of competitive monitoring, as it prevents the comparison of non-equivalent products. Reliable matching safeguards margins by basing repricing on actual, multi-signal data.
Key finding: According to the Diamart study, 50% of French retailers still consider this challenge to be unresolved.
These similarity algorithms rely heavily on natural language processing (NLP) to match the descriptions of different products.

AI is only as good as the data it’s fed. Outdated prices, poorly matched products, incomplete historical data: bad input data leads to bad decisions.
A more powerful model applied to poor-quality data produces a more convincing error, not a better answer. The priority is data auditing and governance before any model selection.