Electronic management of license data

A computer-implemented method implemented on a computer system including at least one processor in communication with at least one memory device, and at least one database, said method comprising:

• executing at least one query on the database, wherein the query includes a list of user identifiers associated with a plurality of users;
• receiving, from the database, license data associated with the list of user identifiers, wherein the license data includes at least a list of licenses and respective license renewal data associated with each user of the plurality of users;
• generating a user profile for each user of the plurality of users, wherein the user profile includes at least a role of the respective user, one or more locations of practice of the respective user, and the license data associated with the respective user;
• training, utilizing at least one of machine learning and artificial intelligence techniques, a model to determine requirements for each user of the plurality of users based upon matching user profiles, wherein the matching user profiles include matching roles and matching locations of practice;
• compare, utilizing the trained model, the user profile of a candidate user to the determined requirements of the candidate user;
• determining, from the comparison, one or more discrepancies between the user profile of the candidate user and the determined requirements, wherein the one or more discrepancies include licenses in the determined requirements that are not included in the user profile of the candidate user;
• determining, from the license data, that one or more licenses of the candidate user is in a renewal period;
• notifying the candidate user of (i) the one or more discrepancies in the user profile of the candidate user and (ii) the one or more licenses in the renewal period;
• generating a prompt for the candidate user to respond to the one or more discrepancies;
• pre-populating a license renewal application for the one or more licenses in the renewal period for the candidate user;
• transmitting, to the candidate user, the prompt and the pre-populated application to be approved by the candidate user;
• receiving, from the candidate user, user input associated with the prompt and the approved pre-populated application;
• and
• updating the user profile of the candidate user to include the user input and the pre-populated application.

At least one non-transitory computer-readable storage media having computer-executable instructions embodied thereon, wherein when executed by at least one processor in communication with at least one memory device, and at least one database, the computer-executable instructions cause the at least one processor to:

• execute at least one query on the database, wherein the query includes a list of user identifiers associated with a plurality of users;
• receive, from the database, license data associated with the list of user identifiers, wherein the license data includes at least a list of licenses and respective license renewal data associated with each user of the plurality of users;
• generate a user profile for each user of the plurality of users, wherein the user profile includes at least a role of the respective user, one or more locations of practice of the respective user, and the license data associated with the respective user;
• train, utilizing at least one of machine learning and artificial intelligence techniques, a model to determine requirements for each user of the plurality of users based upon matching user profiles, wherein the matching user profiles include matching roles and matching locations of practice;
• compare, utilizing the trained model, the user profile of a candidate user to the determined requirements of the candidate user;
• determine, from the comparison, one or more discrepancies between the user profile of the candidate user and the determined requirements, wherein the one or more discrepancies include licenses in the determined requirements that are not included in the user profile of the candidate user;
• determine, from the license data, that one or more licenses of candidate user is in a renewal period;
• notify the candidate user of (i) the one or more discrepancies in the user profile of the candidate user and (ii) the one or more licenses in the renewal period;
• generate a prompt for the candidate user to respond to the one or more discrepancies;
• pre-populate a license renewal application for the one or more licenses in the renewal period for the candidate user;
• transmit, to the candidate user, the prompt and the pre-populated application to be approved by the candidate user;
• receive, from the candidate user, user input associated with the prompt and the approved pre-populated application;
• and
• update the user profile of the candidate user to include the user input and the pre-populated application.