A new batch comes in: three hundred products, a folder of photos and a spreadsheet with mostly empty columns. The titles are in capitals, half the attributes are missing and there is no description anywhere. That used to mean a week of typing. With AI it becomes a matter of checking and approving.
But "AI that enriches your product data" often sounds like a magic button, and it is not. It is not a black box that takes over your catalogue. It is a handful of concrete operations you apply per field, based on what you already have. You stay in control, the machine does the heavy, boring part. Here is what that looks like in practice.
Enrichment is not one button, it is four operations
In SyncRefine, AI enrichment (the ai_assist automation) is not a vague "make it prettier". You choose per field which of four operations you apply to it:
# you choose the operation per fieldgenerate write a missing descriptionrewrite tidy up a messy titletranslate translate the text into 42 languagesimage_extract read attributes from the product photo
The four real operations. None of them overwrites blindly: they are suggestions you approve.
Generate creates what is not there: a sales-focused description based on your attributes. Rewrite takes what is there but messy, such as BLOCK CAPITAL TITLES or text full of supplier jargon, and turns it into tidy, consistent copy. Translate converts your text in context into dozens of languages, preserving your industry terminology. And the most underrated: image_extract lets AI read the product photo and pull out the attributes you had written down nowhere.
Attributes from the photo, not from an empty field
This is where a lot of manual work sits. The supplier sent a nice photo, but the colour, the material and the type of legs are filled in nowhere. Someone then has to look at the picture and retype the fields. Image_extract does exactly that: it looks at the photo and writes the attributes to the fields you point it at.
// image_extract read the photo and filled the fieldsphoto stoel_dax_02.jpgColour AnthraciteMaterial Mesh back, upholstered seatLegs Aluminium, 5-star on castorsArmrest AdjustableStatus For review
Click Empty and From the photo: AI reads the picture and writes the attributes. The status stays 'for review' until you approve.
AI on every field, not just the description
Many tools limit AI to the product description and the SEO text. That is exactly the part marketers still want to do themselves. The real time saving sits in the boring fields underneath: colour, size, material, warranty, EAN checks, category. In SyncRefine you choose yourself which field you apply an operation to, whether it is an existing attribute or a new field you create. That way you do not enrich one bit of text, but the whole structure that feeds your filters and search.
And it learns your structure, not your tone of voice. AI sees how your catalogue is built and fills in within that framework. Your brand voice stays yours. If you want to fine-tune the texts and translations further yourself, read how AI writes and translates descriptions as a follow-up to this.
- Someone looks at every photo and retypes colour and material
- Descriptions are missing on hundreds of new SKUs
- Having each language translated and maintained separately
- Tidying up BLOCK CAPITAL TITLES and supplier jargon by hand
- image_extract reads the photo and fills in the attributes
- generate writes the missing description based on your data
- translate converts everything in context into 42 languages
- rewrite turns it into consistent copy in one pass
Why this is more than a time saving
Empty and messy product data feels free, because the bill only comes later. Research by Akeneo (The Evolution of the Modern Shopper, 2025, 1,800 consumers in eight countries) shows that dissatisfaction with incomplete product information more than doubled: from 13% in 2023 to 30% in 2025. Missing attributes are not a cosmetic problem, they cost you trust and therefore sales. Complete, consistent data is exactly what AI enrichment delivers.
The gain is not in the text AI generates, but in the time it frees up for your team to spend on the work that does deserve human attention.
Start small, measure the result
You do not have to overhaul your entire catalogue at once. The fastest way to see what AI enrichment does for you is a small, measurable first pass:
That way enrichment does not become a big project but a habit. And because your sources stay connected live to WooCommerce, Magento and the marketplaces, you only have to set it up right once. Take Giga Meubel as an example: a furniture wholesaler with 40 suppliers and 70,000 products, live in sync. No half-year project, but a catalogue that keeps itself up to date.
- AI enrichment is not a magic button but four concrete operations: generate, rewrite, translate and image_extract.
- image_extract reads the product photo and writes the attributes to the fields you choose, exactly where a lot of manual work sits.
- You apply AI to every field, not just the description, and it learns your structure, not your tone of voice.
- You approve every suggestion yourself; your usage is transparent with a warning at 80% and a hard cap.
- Start small: one operation on one field, measure the result and scale up once it works.
