Software systems and methods to automatically correlate subject matter items and provider data across multiple platforms

A software method of predicting option item selection by creating groups of clients, comprising:

• automatically select a group leader based on a capacity to predict subject matter item selections by a group;
• automatically group one or more clients by access to preference data, geography data, self-identification data, and reviewer data to increase processing performance and subject matter item prediction capability;
• and
• automatically track group selection of one or more subject matter items to facilitate group subject matter item trend prediction.

A software consultancy assistance system, comprising:

• a memory;
• a processor operatively coupled with the memory, wherein the processor is configured to execute program code to:
• extract one or more webpages from one or more internet platforms of subject matter items and one or more associated providers;
• semantically analyze text of the one or more webpages using natural language processing to determine one or more sentiments of the subject matter items, the one or more associated providers, one or more reviewers, and one or more client preferences;
• associate analyzed collected data of the subject matter items with one or more consultant workflows;
• match the one or more consultant workflows with the one or more client preferences;
• automatically create one or more best-fitting subject matter items options for selection by one or more clients;
• and
• track and update the one or more client preferences from one or more options lists, one or more reviewers, or one or more influencers.