Can products be matched accurately without EAN or GTIN codes?

Yes. GetRealPrice combines attribute extraction, image comparison, text understanding in Arabic and English, and human verification to match products without barcodes, reaching 99.7% matching accuracy.

Why is product matching harder for fashion and private label?

Fashion items often use retailer-specific style codes and change every season, while private-label products carry house barcodes that competitors never share. Titles also mix Arabic and English, so simple keyword search is unreliable.

What is the difference between an exact match and a comparable product?

An exact match is the same product sold by different retailers and supports direct price decisions. A comparable product is a different item competing for the same shopper and supports price positioning rather than one-to-one repricing.

Product Matching Without EAN Codes: A Guide for Fashion and Private-Label Brands in the GCC

Fashion items and private-label products rarely share a barcode with anything else. Here is how GCC brands and retailers match them accurately across competitors anyway — and why it decides whether your price comparisons can be trusted.

The EAN Gap in GCC Fashion and Private Label

Barcode matching is the easy part of competitive pricing. When two listings share an EAN or GTIN, they are the same product. The trouble is that the categories where pricing is hardest in the GCC are also the ones where barcodes help least.

Fashion items are often sold with retailer-specific style codes, and the same garment can appear under different names on Namshi, Ounass, Noon and a brand's own store. Private-label ranges at hypermarkets and online grocers carry house barcodes that no competitor will ever share. Depending on the category, retailers often find that somewhere between a third and more than half of their catalogue has no reliable shared identifier at all.

Without matching, these products drop out of competitive analysis entirely — or worse, they are compared with the wrong items and produce misleading price gaps.

Why Manual Matching Breaks Down

Many teams start by matching by hand: a merchandiser searches competitor sites, pastes links into a spreadsheet and decides which items are equivalent. This works for a few hundred products. It does not work for a seasonal fashion catalogue that turns over every few months, or for a private-label grocery range with thousands of pack sizes.

Speed. New collections arrive faster than people can match them, so the newest and most price-sensitive items are often unmatched.
Consistency. Two people can judge the same pair differently, especially for colour variants or near-identical cuts.
Language. Listings in the GCC mix Arabic and English titles, transliterations and abbreviations, which makes simple keyword search unreliable.

How Matching Without EAN Works

Accurate matching without barcodes combines several signals rather than relying on any single one:

Attributes. Brand, material, size range, fit, colour, volume, weight and pack count are extracted from titles and descriptions and normalised so that "500 ml", "0.5L" and "٥٠٠ مل" mean the same thing.

Images. Computer vision compares product photography — silhouette, pattern, packaging and print — to find the same item even when titles differ.

Text meaning. Language models read Arabic and English titles for meaning rather than exact words, so a "linen relaxed shirt" and a "relaxed-fit linen shirt" are recognised as candidates.

Human verification. Uncertain pairs go to trained reviewers, and their decisions improve the model over time. This hybrid of AI speed and human judgement is how GetRealPrice Product Matching reaches 99.7% matching accuracy, even when no EAN is present. We explain the method in more detail in why 99.7% matching accuracy changes everything.

Exact Matches vs Similar Products

For fashion and private label, it helps to separate two kinds of comparison:

Exact matches are the same product sold by different retailers — the same branded trainer on two marketplaces, for example. These drive direct price decisions.
Comparable products are different items that compete for the same shopper — a house-brand olive oil against a branded one of the same size, or two similar abayas at different retailers. These inform price architecture and positioning rather than one-to-one repricing.

Keeping these two groups separate avoids a common mistake: repricing a private-label product to match a branded item that shoppers do not see as equivalent.

What Accurate Matches Unlock

Once matching is reliable, the rest of pricing intelligence becomes trustworthy:

Price comparisons reflect real gaps rather than mismatched pack sizes or colours.
Markdown timing for fashion can be benchmarked against competitors' actual clearance patterns, explored further in fashion pricing in UAE e-commerce.
Private-label price ladders can be set relative to the right branded reference points.
Price history builds continuously for each matched pair, which reveals seasonal behaviour over time.

For an example of matching at scale in this category, read how a leading fashion platform matched products across 12 competitors.

Matching Readiness Checklist

Measure how much of your catalogue has a reliable shared barcode, and how much does not.
Make sure product titles and attributes (size, colour, material, volume) are complete in your own feed.
Provide clear product images, since visual matching relies on them.
Decide which items need exact matches and which need comparable-product benchmarks.
Audit a random sample of 100–200 matched pairs before trusting price gaps.
Plan how new seasonal ranges will be matched as soon as they launch.

Make Every Product Comparable

Missing barcodes should not leave half of your catalogue outside your pricing decisions. With matching that uses images, attributes and human verification, fashion and private-label ranges can be compared as reliably as any branded electronics SKU. Most clients are live within 24–48 hours. Book a demo to see your own products matched against your competitors.