International Business Machines Corporation
EVALUATE DEMAND AND PROJECT GO-TO-MARKET RESOURCES

Abstract:

An approach is provided that receives a price input and a quantity input corresponding to use cases that are associated with a revenue producing offering. One trained artificial intelligence model is applied against the price input and the quantity input resulting in predicted revenues corresponding to each of the use cases that are based on a set of defined categories. A second trained artificial intelligence model is applied against the price input and the quantity input, with the second trained artificial intelligence model resulting in a predicted expense data corresponding to each of the use case and a set of predicted go-to-market (GTM) resources at a number of levels corresponding to each of the use cases.