AI-Driven Solutions for Customer Retention and Churn Detection

Authors

  • Jackson Hayes Department of Computer Science, University of Arkansas at Little Rock, USA
  • Ava Mitchell Department of Computer Science, University of Arkansas at Little Rock, USA

Abstract

Customer retention has become a cornerstone of business success, significantly impacting revenue generation and long-term growth. Conversely, customer churn, the loss of clients over time, poses severe challenges to sustaining profitability and brand loyalty. In the digital age, artificial intelligence (AI) offers groundbreaking solutions to address these challenges effectively. AI-driven systems analyze vast amounts of customer data to uncover behavioral patterns, predict churn likelihood, and recommend personalized interventions. This research paper explores the role of AI in enhancing customer retention and detecting churn, delving into its key applications, benefits, challenges, and future prospects. Our findings underscore AI’s transformative potential in creating data-driven strategies for proactive engagement and fostering enduring customer relationships.

Published

2024-11-12

How to Cite

Hayes, J., & Mitchell, A. (2024). AI-Driven Solutions for Customer Retention and Churn Detection. Journal of Engineering and Technology, 6(2). Retrieved from http://mzresearch.com/index.php/JET/article/view/429