Fill missing attributes with AI

Channels increasingly require structured attributes — colour, material, age group, gender — and disapprove products that lack them. AI enrichment can infer many of these from your existing titles and descriptions.

Attributes AI can help with

• Colour — extracted from title, variant or description.
• Material / fabric — inferred from copy where present.
• Gender & age group — for apparel categories that require them.
• Product type — a cleaner internal category from messy source data.

How it works

Set an AI rule targeting the attribute field and let it read the product's existing data to populate it. As with all rules, you can scope it to only the products missing that attribute, so you never overwrite good data.

Verify before you rely on it

AI inference is very good but not infallible. Spot-check a sample, especially for attributes that affect disapprovals or compliance. Where your source already has the attribute, prefer that over inference.