Evaluate demand and project go-to-market resources

An information handling system comprising:

• one or more processors;
• a memory coupled to at least one of the processors;
• and
• a set of computer program instructions stored in the memory and executed by at least one of the processors in order to perform actions comprising:
• receiving a price input and a quantity input corresponding to a plurality of use cases associated with a revenue producing offering;
• applying a first trained artificial intelligence model against the price input and the quantity input, wherein the first trained artificial intelligence model outputs a predicted revenue corresponding to each of the use cases based on a plurality of defined categories;
• and
• applying a second trained artificial intelligence model against the price input and the quantity input, wherein the second trained artificial intelligence model outputs a predicted expense data corresponding to each of the use case and a set of predicted go-to-market (GTM) resources at a plurality of levels corresponding to each of the use cases.

A computer program product stored in a computer readable storage medium, comprising computer program code that, when executed by an information handling system, performs actions comprising:

• receiving a price input and a quantity input corresponding to a plurality of use cases associated with a revenue producing offering;
• applying a first trained artificial intelligence model against the price input and the quantity input, wherein the first trained artificial intelligence model outputs a predicted revenue corresponding to each of the use cases based on a plurality of defined categories;
• and
• applying a second trained artificial intelligence model against the price input and the quantity input, wherein the second trained artificial intelligence model outputs a predicted expense data corresponding to each of the use case and a set of predicted go-to-market (GTM) resources at a plurality of levels corresponding to each of the use cases.