Poor-quality product data leads to inconsistent experiences across channels, customer dissatisfaction, and even higher product returns. PCC addresses this challenge by embedding data governance and quality controls into every stage of Product Information management.
For example, PCC enforces Taxonomy-specific Schema rules that require SKUs to have mandatory attributes before they can be published.
Completeness scoring highlights gaps, while style guides enforce brand consistency (e.g., ensuring every description has a minimum word count or that titles follow naming conventions). Validation rules prevent incorrect entries (such as wrong Units of Measure or non-standardized Attribute Values).
The result is that every SKU passing through PCC is validated, complete, and enriched, ensuring customers receive reliable product information regardless of channel. This not only reduces costly errors but also enhances customer trust.