Which fields are most important?
SKU, name, price, cost when applicable, availability, category, units, and the attributes customers need to buy or quote correctly.
Product data quality checklist
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
Review checklist
Frequently asked questions
SKU, name, price, cost when applicable, availability, category, units, and the attributes customers need to buy or quote correctly.
No. It should be checked for every important supplier update because new files can introduce new gaps.
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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