Catalog Enrichment

​Catalog Enrichment uses natural language processing to scan product descriptions and identify descriptive data about products in the form of product attributes and their values. For example, thousands of products may be identified as having a "Style" that is "Classic" while other products having a "Style" that is "Quirky". The attributes and values need to be reviewed and either accepted or declined. If accepted, they can be exported and broken down by the product to be used to update your internal systems and the product catalog used by personalization.