Methods and systems for customer churn prediction

US10580020B2 · kind B2 · utility

Assignee

• Conduent Business Services, LLC · US

Inventors

• Avinash Sharma · Burmu, IN
• Narendra Annamaneni · Darsi, IN
• Divanshu Gupta · Bengaluru, IN
• Geetha Manjunath · Bengaluru, IN

Key dates

• Filing date: Jul 28, 2015
• Grant date: Mar 3, 2020
• Expiry date: Jun 29, 2037

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q50/01
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A method and a system are provided for customer churn prediction. The method includes creating a graph comprising a plurality of nodes and a plurality of edges. At least one edge of the plurality of edges in the graph connects more than two nodes of the plurality of nodes. Each of the plurality of nodes represents a customer. Thereafter, a similarity matrix representative of a similarity between each of a plurality of customers is determined based on the graph. Further, the similarity matrix is decomposed into a first matrix and a second matrix. A third matrix is determined based on the first matrix, the second matrix, and a scaling parameter. The third matrix is utilized to identify a set of potential churn customers from the plurality of customers. Thereafter, the set of potential churn customers is presented on a user-computing device.