Optimize Catalog sources for multi-language and multi-brand setups

There’s a 1-to-1 relationship between a Catalog source and a commerce catalog which is essential for Coveo Personalization-as-you-go (PAYG) models to generate product embeddings and vectors. See Commerce catalog for more information about commerce catalogs.

This relationship enables PAYG models to create a rich vector space representing the products contained in your commerce catalog.

When selling products in multiple countries, there’s often a need to maintain sites in various languages. This is typically necessary when your product offerings and user behavior vary among sites due to factors such as language and location. Furthermore, you’re likely to manage different sites if your business structure includes multiple child brands under a single parent brand.

Coveo ML models acquire knowledge from both your customers' behavior and the content in the commerce catalog, adapting their learning based on the specific data sets of the websites they’re integrated into.

For this reason, it’s recommended to have separate Catalog sources for each available language, country, and/or brand you’re supporting^[1]. This is recommended because it enables the Coveo ML models associated with the Catalog source to learn independently from the data associated with each language, region, or brand. Such a setup will result in recommendations that are optimally personalized to users' preferences and search behavior on each website in your multi-catalog structure.