SYSTEM AND METHOD FOR AUTOMATED MANAGEMENT OF CUSTOMER CHURN BASED ON ARTIFICIAL INTELLIGENCE AND COMPUTER PROGRAM FOR THE SAME

摘要

The customer churn management automation system includes: a data collection unit configured to receive customer information and customer-related operation system information of a plurality of customers from a client device, and convert the customer information and the operation system information into an analysis data set; A customer segmentation unit configured to extract customer relationship information from the analysis data set and classify the plurality of customers into one or more churn pattern groups based on the customer relationship information; A departure prediction unit configured to calculate a departure risk of each of the one or more departure pattern groups from the analysis data set using a machine learning based classification prediction algorithm; And a personalized recommendation unit configured to execute a personalized recommendation for preventing churn to potential churn customers determined based on the churn risk. According to the above system, a series of customer churn management processes ranging from customer segmentation, churn prediction, and churn prevention can be implemented as an automated service based on machine learning.