Product data quality checklist

Product Data Quality Checklist for Supplier Catalogs

A product catalog can look complete while still containing missing dimensions, wrong units, stale descriptions, or prices that cannot be sold safely. Quality checks make the gaps visible before publication.

Why this matters

Product data defects are often discovered downstream by sales, customers, or e-commerce teams, after the original supplier file has already been accepted.

A safer process

Turn the update into a clear decision.

  1. 1Check identifier coverage and duplicates.
  2. 2Check required product fields.
  3. 3Check units, currencies, and formats.
  4. 4Check price and cost completeness.
  5. 5Review items removed or newly added by the supplier.

Review checklist

Before you publish.

  • Every active item has a stable identifier.
  • Required product attributes are present.
  • Units and currencies are normalized.
  • Images, descriptions, and specifications are complete where needed.
  • Price and availability changes are reviewed.

Frequently asked questions

Which fields are most important?

SKU, name, price, cost when applicable, availability, category, units, and the attributes customers need to buy or quote correctly.

Should data quality be checked only once?

No. It should be checked for every important supplier update because new files can introduce new gaps.

Check your own supplier file before anything changes.

Start with one CSV or Excel file. ProductCatalogs.ai shows the risky changes and keeps the current catalog protected until you approve.

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