Structure the information you have
Maintain category-relevant attributes and product values centrally. Use consistent terminology and check source information when a specification or product detail is unclear.
← All featuresAI product-data enrichment
Richer product information starts with the facts.
Build a better product record, then put that information to work in descriptions, SEO fields and target-language content. Keep structured data, AI suggestions and human review in the same catalogue workflow.
Illustrative example
The same facts. More useful product information.
This explains the enrichment approach; it is not a product screenshot or an automated extraction demonstration.
01 · Source facts
Insulated bottle. 500 ml.
Stainless steel. Blue.
02 · Structured record
- Capacity
- 500 ml
- Material
- Stainless steel
- Colour
- Blue
- Dishwasher safe
- Not provided
03 · Reviewed content
A blue, 500 ml insulated bottle made from stainless steel.
The catalogue problem
Give customers more than another rewritten description.
Product enrichment starts with what a shopper needs to know: the relevant attributes, clear specifications and useful explanations. Comerz.ai combines a structured catalogue with AI content workflows, helping your team improve product information without moving facts between spreadsheets, prompts and shop editors.
Turn facts into useful product content
Use existing product data and business context to draft or improve descriptions, SEO titles, meta descriptions and supported detail fields. Review the output before applying it.
Keep your brand context in the workflow
Set brand voice, audience, SEO preferences, examples and claims to avoid. These instructions shape AI generation; they do not replace a factual review.
Expand content into another language
Generate supported product text in a target language from the same central product information. Check terminology and language coverage before synchronising it to a shop.
How it works
From product information to an approved improvement.
A practical workflow around the catalogue you already operate, with human review before consequential AI changes are applied.
- 01
Start with source information
Import or maintain the product record and its attributes. Resolve missing specifications against reliable supplier or product information.
- 02
Generate a proposal
Choose a supported content field and language. AI uses the product data and your business context to propose text for your review.
- 03
Approve and reuse
Accept, edit or reject the suggestion. Apply the content you approve centrally, then synchronise it to the appropriate connected shops.
Product scope
The enrichment workflow today — and where it is heading
Use the available workflow in the beta. The broader direction is shown separately so you can judge fit against what you need now.
What you can work with now
- Structured attributes and central product information, maintained by your team.
- AI generation and rewriting for supported product-content fields.
- Target-language content, business context and review of AI suggestions.
Where we are taking it next
- Broader extraction of facts from supplier documents and images, with field-level source evidence.
- AI recommendations for missing category attributes and catalogue-wide value standardisation.
- More automated enrichment workflows that surface uncertainty and request approval.
Questions before you connect
A clearer picture of the workflow.
Can AI fill in a specification that is not in my source data?
An unknown fact should remain unknown until it can be verified. Check specifications, ingredients, certifications and safety claims against reliable sources before applying generated content.
Does Comerz.ai automatically enrich every missing attribute today?
No. Structured attribute management and AI content generation are available, while broader attribute discovery, extraction and automatic standardisation remain a developing product direction. We confirm the supported workflow for your catalogue during onboarding.
How is this different from a standalone AI writing tool?
The content workflow is connected to central product records, structured attributes, business context, review and shop synchronisation. Product information remains part of the catalogue rather than becoming a collection of disconnected prompts.
Works together
The rest of the catalogue workflow.
Founding Customer Beta
Build richer product information from one shared catalogue.
30 days free, hands-on onboarding and real work on your own catalogue. Tell us about your shop, test meaningful improvements and share feedback with our team.
Request beta access