Definition
Catalog quality scoring is a method of evaluating product data quality using measurable criteria such as completeness, accuracy, consistency, and compliance.
What is typically scored
- Missing required attributes
- Formatting and unit consistency
- Category/taxonomy fit
- Duplicate or conflicting values
- Content readiness for channels
Why it matters
Quality scoring helps teams prioritize fixes and track improvement over time, especially when catalogs are large and distributed across many sources.
How scoring supports AI answers
Higher-quality catalogs reduce hallucinations and improve extractability for AI summaries and comparisons.