Catch product data errors before a Merchant Center upload

Product data checks: the same shoes, another colour in the listing

A shop sells one model of shoes in several colours and sizes, and each version has its own manufacturer code. The supplier's spreadsheet says „navy” for the code of the navy shoes in size 39, and the file prepared for Allegro says „black”. An employee fixes the colour, and at the next catalogue update the error comes back.

The program lines up both rows by code and shows the difference: the shoe code, both colours and the place in the supplier's spreadsheet. The code matters, because the shop also sells black shoes of the same model: a comparison by name would join two different pairs and suggest a change to a correct listing. If the shop's own data also says „black”, the fix goes to the place the listings file is built from, so the error does not come back.

What automated product data checks cost and when they pay back

The count covers the work around each case: searching, reading, writing and handing over. What remains is the time to check the result, 15% of today's work in the scenario. Before the quote we measure both times on 20 to 100 cases the team has already handled, in a free test that takes 5 working days.

The scenario assumes 2,000 listings a month at 3 minutes of manual checking each. With catalogue updates from several suppliers, this time grows with every new data delivery.

You can compare a spreadsheet without AI

When the supplier sends a tidy spreadsheet and the products have matching codes, an ordinary program is enough to compare colours and gaps. First check your current import and how data is filled in from the catalogue. Allegro describes its attributes (in Polish): they depend on the category, and product information can be found at the manufacturer, the distributor or on the packaging. AI helps when an employee looks for data in different manufacturers' documents: they get a proposed value with the page where it was found. Price list checks are covered in the article on supplier price lists.

Where to start

Before you cover the whole catalogue, show a few listings the team knows well, including correct ones. If the program reports differences in correct listings, the rules need changing before a wider start. Buyers' questions are covered on Allegro for online stores. We build this kind of system as part of our AI automations. For the free process review, a description of one case from the last few weeks and the tools it went through is enough. You do not need to send confidential documents, and you receive a written plan within 2 working days.