Análisis predictivo sobre la efectividad de canales de comunicación en clientes con mora alta

Abstract

This report aims to analyze the messaging history of collection communications carried out by the company Refinancia, with the purpose of developing predictive models such as logistic regression, neural networks, and decision trees. These models will enable the identification and prioritization of the most suitable messaging channel for each client, based on their specific characteristics. The evaluated channels include advisor phone calls, SMS messages, and HTML format emails.