Supplier Data Quality Checklist
Supplier data quality directly determines catalog accuracy, time-to-market speed, search conversion rates, marketplace compliance, and customer trust.
Use this 12-stage checklist before importing vendor feeds, PDFs, datasheets, or spreadsheets into your PIM, ERP, or e-commerce platform.
1. Source-File Integrity
- Is the supplier identity verified?
- Are all pages and sheets present in the package?
- Are scanned or image-only PDF pages flagged for OCR?
- Are linked CAD drawings, spec sheets, or images accessible?
- Is the file submission timestamp and version recorded?
2. Product Identity & Uniqueness
- Does every record contain a clear product title and model name?
- Is the Manufacturer Part Number (MPN) explicitly stated?
- Is the SKU / GTIN / UPC unique across the entire master catalog?
- Are product family relationships clearly distinguished from individual SKUs?
- Are discontinued or obsolete models identified?
3. Attribute Completeness & Structure
- Are mandatory category attributes populated?
- Are attribute keys mapped to canonical names rather than vendor jargon?
- Are technical specifications separated into structured key-value pairs rather than hidden inside paragraph text?
- Is every attribute value supported by visual page-level evidence?
4. Taxonomy & Classification
- Is every product assigned to a valid node in your internal master taxonomy?
- Do category assignments trigger appropriate category-specific validation rules?
- Are supplier-specific categories mapped to standardized industry classifications (e.g. ETIM, UNSPSC)?
5. Value & Unit Normalization
- Are physical units standardized (e.g. converting
intomm,lbstokg)? - Are decimal formats and numeric ranges validated?
- Are controlled values (e.g. IP ratings, color finishes, mounting types) selected from approved drop-down lists?
6. Duplicate Detection
- Are duplicate SKUs or MPNs flagged across different supplier submissions?
- Are equivalent cross-reference parts identified?
- Are packaging variants (single vs 10-pack) modeled distinctly?
Establish an explicit supplier data contract defining canonical attribute names, mandatory fields, controlled vocabularies, and acceptable file formats.
Summary Checklist for Catalog Teams
- Review File Source: Verify file readability and completeness.
- Validate Identifiers: Enforce SKU and MPN uniqueness.
- Normalize Units: Convert vendor imperial/metric values into standard units.
- Map Taxonomies: Assign SKUs to correct master taxonomy categories.
- Enforce Pre-Publishing Rules: Block incomplete records from reaching e-commerce channels.
Related Solutions & Guides
- Product Data Validation
- PIM Data Preparation
- Supplier Product Data Onboarding
- Product Attribute Mapping Guide
- Validate Data Before Publishing
About Docxi.ai Engineering & Catalog Operations
We build AI-native product data intake software that transforms complex supplier documents into publish-ready product catalogs for distributors, manufacturers, and retailers.