Abstract: The present invention relates to providing systems, methods, and apparatuses for using machine learning to categorize and select suggested source entities. In some embodiments, such a system may comprise receiving a resource file from a user; normalizing the at least one supplier entity name to generate at least one normalized supplier entity name; determining the at least one normalized supplier entity name matches an authenticated supplier entity name of an entity name master record; updating a source entity management database; receiving a user indication; applying the at least one pre-determined variable standard and the selected category to a source entity suggestion model to output at least one suggested source entity name that matches the pre-determined variable standard and the selected category; and generating a suggested source entity interface component to configure a graphical user interface of a user device associated with the user.

Abstract: A system for managing suppliers for managing source entities for recipient entities includes a source entity evaluation system, and a category file database storing a plurality of category files having a plurality of amount values. The system further comprises a source entity management database storing a plurality of complexities for the source entities and configured to received updated complexities data from a source entity system. Moreover, a benchmarking module stores a plurality of source entity quality standards to be bases of the amount values and configured to generate maturity amount values in accordance with the amount values and the source entity quality standards. The system further comprises a cost analysis and an electronic record management module.