keras-customer-churn

This repository contains a Shiny application that demonstrates a deep learning model for predicting customer churn, built with Keras. The application allows analysis of individual customers or aggregate patterns to identify churn risk and recommend mitigation strategies.

The application provides three key capabilities: individual customer scoring with specific retention recommendations (covering service offerings, commercial opportunities, and payment methods), aggregate churn analysis across customer segments with interactive filtering, and correlation analysis to identify which features most strongly predict churn. The model and analysis tools help businesses understand churn drivers and take targeted action to retain at-risk customers.