Catalog completeness audit

Find missing product attributes across large catalog spreadsheets.

Join the waitlist for a catalog spreadsheet checker that flags missing size, color, material, barcode, dimensions, and product-specific fields before listings go live.

Example

Preview the output before this becomes a product.

See the kind of messy input this waitlist is validating and the product-style report it could return.

Example input

Uploaded file: catalog_attribute_review.csv

SKU,Title,Category,Color,Material,Length,Width,Barcode,Image URL
AP-NAT-OS,Linen Apron Natural,Kitchen Textiles,Natural,Linen,,,001234560011,https://cdn.example.test/ap-nat.jpg
TT-NVY-SET,Cotton Tea Towel Set,Kitchen Textiles,Navy,,28,18,001234560044,https://cdn.example.test/tt-nvy.jpg
MB-LG-TAN,Market Basket Large,Storage,Tan,Seagrass,16,,001234560099,
CK-6-BLK,Ceramic Knob 6 Pack,Hardware,Black,Ceramic,1.5,1.5,,https://cdn.example.test/ck6.jpg

Example output

Report summary

Catalog attribute gaps grouped by product category so the team can fill only the fields that matter.

medium

4

Products checked

7

Missing attributes

3

Category rules hit

1

Ready rows

Detected findings

Kitchen textile dimensions incomplete

medium

AP-NAT-OS is missing length and width, which are expected for textile listings.

Material missing

medium

TT-NVY-SET has no Material value even though similar rows use textile material fields.

Storage item missing image and width

high

MB-LG-TAN is missing both Image URL and Width, making listing quality weak.

Barcode missing

low

CK-6-BLK has no Barcode. This may be acceptable for some channels but should be intentional.

Attribute fix queue

SKUMissing fieldsSuggested owner
AP-NAT-OSLength, WidthCatalog team
TT-NVY-SETMaterialSupplier data
MB-LG-TANWidth, Image URLPhoto/data team
CK-6-BLKBarcodeOps review
Recommended next step: Fill high-impact missing fields first, then export a category-specific cleanup list for your catalog team.

Waitlist

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Leave your email and optionally describe the exact file or workflow you would want checked.

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FAQ

Questions before you join

Is this an AI description generator?

No. This is positioned as a completeness checker for existing product data, not a generic content generator.

What counts as an attribute gap?

Missing or inconsistent fields such as dimensions, material, color, barcode, image URL, size, pack count, or category-specific values.

Can each category have different required fields?

That is the intended direction. Kitchen textiles, hardware, apparel, and storage products should not use the same checklist.

What should I describe when joining?

Mention the catalog fields your team constantly has to chase from suppliers or manually fill later.