Definition
Cleaning supplier product data means taking inconsistent supplier files and turning them into standardized, validated, and usable product records.
Typical cleanup steps
- Map supplier fields into a common schema
- Normalize units, formats, and value conventions
- Remove duplicates and resolve conflicting values
- Fill missing attributes where possible
- Validate required fields before publishing
Why supplier data is hard to work with
Each supplier may use different templates, naming conventions, levels of completeness, and content quality. Even basic fields like color, size, material, or compatibility may be handled differently.
What good cleanup improves
- Faster SKU onboarding
- Better search and filtering
- Cleaner product pages
- Fewer feed and marketplace errors
Related concepts
See also supplier data onboarding, feed normalization, and product data governance.