AI text generation for product catalogs

OZOlga Zagorodnik·Updated 5 August 2026·2 min read

Supplier price lists rarely come with descriptions you can publish. Some have a single line per item, some copy the manufacturer's text word for word, and many have nothing at all. When a catalog grows to thousands of items, writing descriptions by hand stops being realistic.

Where AI actually helps

Language models are good at turning structured data into readable text. If a product record already contains a name, brand, category and a list of specifications, a model can produce a clear description from it in a consistent tone. That makes AI useful for three jobs in a catalog:

• Product descriptions for items that arrive from suppliers without any text.
• Rewriting duplicated text, so your listings are not identical to every other store selling the same product.
• SEO fields such as meta titles and descriptions, built from the product name and its key attributes.

What it does not replace

AI writes from the data you give it. If the specifications are wrong or missing, the description will be vague or wrong too. Clean attributes come first, generation comes second. It is also worth reviewing a sample of generated texts for each category before publishing them in bulk, especially for products with safety or compliance information.

How it works in YfiFX

In YfiFX, AI content generation runs on top of the product data you have already collected from your suppliers. You choose which products need text, and descriptions and SEO texts are generated with ChatGPT using the attributes in your Master price list. The results stay in the catalog and are exported to your store together with prices and stock, so there is no separate copy-and-paste step.

For items that have no photos or specifications at all, YfiFX can also search for images and product characteristics, which gives the model more to work with.

A practical workflow

1. Import supplier price lists and match duplicate products.
2. Fill in or enrich key attributes for the categories you want to describe.
3. Generate descriptions for a small test group and review them.
4. Adjust the prompt or the attributes, then run generation for the rest of the category.
5. Export the updated catalog to your store or feed.

Done this way, a catalog of several thousand items can get usable descriptions in days rather than months, and the texts stay consistent across suppliers.