Product data enrichment
Also known as: Catalog enrichment
In short
The process of adding verified detail or useful structure to product records so customers and downstream systems can understand them more accurately.
Add information with a traceable source
Enrichment makes existing product records more informative. It can add a material from a manufacturer’s specification, normalize a color name, or join an internal business classification. It is broader than fixing a misspelled field name.
The source matters. A manufacturer-supplied dimension, a merchandising label and a model-generated guess carry different levels of certainty. Keep that distinction visible in the workflow and validate facts before publishing them as product claims.
Google’s supplemental data sources provide one channel-specific mechanism for adding details to existing product data. They complement primary sources rather than replacing the catalog’s underlying ownership rules.
Illustrative example
Imagine a retailer importing storage boxes with names and prices but incomplete dimensions. The team matches each box to a verified supplier record using a stable identifier. It adds height, width and depth in consistent units.
A separate rule labels boxes by capacity for internal segmentation. That label is an editorial classification; it does not change the measured dimensions.
Do not turn assumptions into attributes
An image alone may not prove material, compatibility or certification. Avoid filling blanks with plausible claims. Check joins for one-to-many matches and review exceptions where variants have different specifications. More fields help only when they describe the correct item and stay current.