Agentic product matching

Every match comes with its proof.

AI agents find your products in every store and read both pages the way a buyer would: the barcode, the name, the size, the variant, the description and the photos. Every match keeps its evidence, so you can open it and see why.

Priceium

Request a Demo: contact@priceium.com

An agent searches every store for your product: it opens the listing whose name comes closest, checks it field by field into a proof and turns it down, then opens the next listing and keeps the proof of the same product, for one real case per category.

  • 3 in 4 product pages show no barcode. 43% carry none at all, not even hidden in the page’s code.
  • 18% of the time, the listing whose name comes closest to yours is another product, often just another size, flavour or maker.

Closing the gap to 100%.

Every product a rival sells, found, and every match right.

Match on a barcode or a name and you have to choose: miss products that are there, or let look-alikes in. Either way, your team is left closing the gap by hand, adding the matches that were missed and removing the ones that are wrong.

  • Strict matching: Gaps you can’t see Leave out every page without a barcode and you miss products that are there. A missed product looks exactly like one the rival doesn’t sell.
  • Loose matching: Matches you have to check Let similar names decide and another size or flavour slips in. Someone has to find the wrong matches and take them out.
  • Agentic matching: Found, and right Agents search every store like a buyer and keep only the matches that hold up. Then they go back over them, adding what was missed and dropping what wasn’t right: the work your team would otherwise do by hand.

Already using something else? How many of its matches are right? And how many are missing?

Agents that read the whole page.

A barcode is where we start, not where we stop.

  1. Search Our agents look for each of your products in every store you track: by barcode, by name and through the store’s own search.
  2. Read Both pages are read field by field: brand, size, count, variant, description and specs.
  3. Compare A second AI compares the pack photos before a match is kept.
  4. Review A matching agent goes back over the matches, opening both pages and searching the store again: it adds what was missed and drops what doesn’t hold up.

We check your side too.

Every match starts from your own catalogue.

So an agent reads your products as well and shows you where your data disagrees with itself.

  • A barcode in your feed that isn’t the one printed on the pack. Every barcode match then points to someone else’s product, at every store you track.
  • A title that names one variant while the photo shows another. The name leads to one product and the photo to another. Only one of them is the one you sell.
  • A placeholder where the barcode should be. Every product with the same placeholder lands on the same listing, so none of those matches holds.

Bring the matches you use today.

We check them with the same method and show you what’s missing and what isn’t the same product.

How many of your matches are right? And how many are missing? One free audit answers both.

Request a free audit: contact@priceium.com