Product data in practice · 4 min read
Introducing Catalogica: from supplier data to product listings
Your suppliers send product data. Your team still has to make it useful. Catalogica researches missing details and prepares listings around your catalog rules.
Alexander Bogunov
Founder, Catalogica
Your supplier adds a product to its feed. The barcode, price and stock are there. Before you can sell it, someone on your team still has to find out enough about it to write the listing.
They search for the model, open the manufacturer’s website, check a PDF, find suitable images and work out which specifications belong in your catalog. Then they write the title and description. The next supplier uses different names for the same attributes, so the team has to reconcile those too.
Across many suppliers and product categories, that preparation becomes a substantial part of running the store.
Catalogica helps retailers and marketplaces do this work. It takes supplier data, researches missing information and prepares product listings using your categories, attributes and writing rules. Your editors review the results, and the records go into your existing shop or PIM.
We built it working with Ozone.bg, a retailer in Bulgaria, where more than 70,000 products have been enriched through Catalogica.
Research gives the listing something to say
A short supplier name rarely contains everything a customer needs to choose a product. Writing a longer description from that name alone leaves the underlying information gap unresolved.
Catalogica uses the information you have as a starting point. That can be an XML or JSON feed, a spreadsheet, an attached datasheet, or as little as a barcode or product name. We map the incoming supplier data to your catalog during setup.
The AI searches the web for product information, reads relevant pages and datasheets, and uses what it finds to prepare the record: a category, structured specifications, a title, descriptions, SEO fields and product media. You can specify which sources it should prefer, require or exclude.
Finding information is part of the work; deciding whether it applies is another. A document may cover several models. An image may show a different size or bundle. The result still needs your team’s judgment, especially where the available information is incomplete or conflicting.
The result needs to fit your catalog
Accurate information can still be awkward to use. If one supplier puts the size in the title, another buries it in a description and a third uses a different unit, your team has to make those listings consistent.
Consider a fragrance as an illustrative example. Your catalog might require the title to end with the concentration and volume, such as “Eau de Parfum, 50 ml”. You might also need those details as separate attributes so customers can filter by them. A readable paragraph alone would leave that work unfinished.
In Catalogica, those requirements become rules. They define how titles read, which details descriptions contain, and how attribute values and units should be written. Rules apply across your catalog and can be refined at the levels you organise it by, including individual categories and attributes.
We write and configure these rules with you, using your existing listings and editorial requirements. Your team can also choose finished products as examples for the AI to follow.
Your editors’ corrections guide the next round of work
Your editors can work in Catalogica or finish the records in your own system. When their final versions are available in Catalogica, we compare them with the AI’s output to see what needed changing.
A title correction might reveal a convention we have not captured. A changed specification might point to a research problem. Looking at those differences gives us concrete work to do with your team: clarify a rule, adjust the source requirements or choose a better example.
This is also how we have developed Catalogica with Ozone. Working with a real catalog team has shaped how we handle supplier data, differences between categories and the corrections editors make.
We set it up around the systems you already use
Catalogica fits between your suppliers and your shop, marketplace or PIM. You keep managing and selling products in your existing systems; we prepare the product information that goes into them.
We handle feed mapping and rule configuration, then work with your developers on delivery through the API. The connection to your system is scoped and quoted with you during onboarding.
Pricing is based on the AI tasks performed on your products. We agree the rates before starting, with no setup fee and no lock-in.
Start with a supplier your team knows well
A useful pilot starts with one feed and products your editors can judge. Include the sparse records, the awkward specifications and the categories that usually need extra attention.
Together, we define what a usable listing should contain, configure the rules and review the results. Your team can then assess what is ready to use, what still needs correcting and whether the work saved makes Catalogica worth expanding to more suppliers.