公开(公告)号：US20250148304A1

公开(公告)日：2025-05-08

申请号：US18386324

申请日：2023-11-02

Applicant: GENESYS CLOUD SERVICES, INC.

Inventor： JULIAN LEONARD ,  GREG TOTH ,  PETER ROCHE ,  ORLA COLEMAN ,  RAHUL CHHABRA ,  FERGAL PAUL MONAGHAN

IPC: G06N5/022 ,  G06N7/01

Abstract: A method for classifying customers via operation of a probability score of a predictive model that expresses a probability of a customer achieving a predicted outcome. The method includes: recording previous probability scores and grouping within a dataset; sorting the dataset by an increasing value; deriving a set of reference quantiles based on the sorted previous probability scores of the dataset; determining action thresholds defining a range of target quantiles within the set of reference quantiles; receiving a probability score from the predictive model for a first customer in a current interaction; comparing the probability score of the first customer to the probability scores in the set of reference quantiles to determine a matching quantile; and determining if the matching quantile is within the range of target quantiles and, based thereon, selectively classifying the first customer in the target audience.