Verizon Communications Inc.
Systems and methods for utilizing a machine learning model to predict a communication opt out event

Abstract:

A device may receive first customer data, and may receive first contact data. The device may generate second customer data that includes the first customer data, and may generate second contact data that includes the first contact data and additional contact data. The device may generate a quantity of simulated future communications based on differences between the first customer data and the second customer data and between the first contact data and the second contact data, and may process the quantity of simulated future communications, with a machine learning model, to determine a probability distribution for an opt out event. The device may determine a relationship between the quantity of simulated future communications and probabilities of the opt out event, and may identify a particular probability of the opt out event based on the relationship. The device may perform actions based on the particular probability.