Abstract: Methods, apparatus, and processor-readable storage media for dynamically determining procurement user types are provided herein. An example computer-implemented method includes extracting data, from multiple data sources associated with multiple procurement users, pertaining to interactions between the multiple procurement users and one or more procurement destinations; dynamically updating, based on an application of one or more machine learning algorithms to the extracted data, one or more existing procurement user types; dynamically creating, based on the application of the one or more machine learning algorithms to the extracted data, one or more new procurement user types; and outputting, via at least one user portal, the one or more updated procurement user types and the one or more new procurement user types.