Feature · AI metafields & filters
Structured data, filled in the same pass.
Category attributes and your own metafields, generated alongside the description.
Colour, size and material, ready for your storefront filters. Care instructions, dimensions, what's in the box. You review every value before it saves.
- Shopify category attributes
- Your own text and JSON metafields
- Every value reviewed before it's written
Every field, filled.
Category attributes
Once a product has a category, Pelican fills that category's choice-based attributes from your product data.
Your own metafields
Nominate up to 40 text or JSON product metafields and say what belongs in each.
One pass
Each value is generated with the description, from the same data and the same photos.
Empty beats invented
If the product data doesn't hold the answer, the field is left empty and named in a notice.
JSON, validated
Describe the shape you want. Invalid JSON is never saved.
Field by field
Each metafield has its own checkbox and an editable value.
“What's best is that the app feels like a native Shopify feature rather than a third-party app.”
Values are saved on the product in Shopify, where you can see and edit them in the admin.
“We’re even doing stuff like reading PDFs from suppliers, and specification sheets that get sent off to factories in China to make apparel, and turning them into sizing charts.”
Martin Cox · Co-founder, Native App Co
Questions about metafields.
Which metafield types can the AI fill?
Single-line text, multi-line text and JSON product metafields that have a definition in Shopify.
Will it overwrite values I already have?
Applying a value replaces what's there. To only close gaps, untick the rows that are already filled.
What happens when the AI doesn't know?
The field is left empty and listed under the results. Nothing is written.
Do I need to set categories first?
For category attributes, yes. They're defined per category.
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