Customer Churn Prediction: A Systematic Review of Recent Advances, Trends, and Challenges in Machine Learning and Deep Learning

This systematic review synthesizes recent advancements in machine learning (ML) and deep learning (DL) approaches for customer churn prediction. Covering 240 peer-reviewed studies published between 2020 and 2024, the review highlights methodological trends, challenges, and research gaps, adhering to PRISMA 2020 guidelines.