Catalog enrichment brings product data to a single shape: it aligns attributes, brands and units of measure and fills in the critical specs.
How to use the term
What to read alongside
This term is worth reading together with the neighbouring concepts in its section and the Gravity AI launch scenarios it belongs to.
Glossary section
Terms where AI meets eCommerce: product selection, the guided dialogue, personalization and the mechanics that grow average order value.
What it is
Catalog enrichment brings product data to a single shape: it aligns attributes, brands and units of measure and fills in the critical specs.
Example in ecommerce
If one product page says USB-C and another says Type-C, the system has to treat both as the same signal when it matches products.
Business impact
Raises search quality, cuts the number of extra clarifying questions and helps the assistant answer accurately on a real assortment.
A fit for terms about search by meaning, the architecture behind the results and product discovery.
Shows how AI terms turn into a real decision flow inside the product page.
Collects the product scenarios in one place and is the starting point for a demo.
We will show which scenario to start with, how to tie it to metrics and where measurable results come fastest.