Open Access Journal

ISSN : 2456-1304 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Science Engineering and Management (IJSEM)

Monthly Journal for Science Engineering and Management

ISSN : 2456-1304 (Online)

Enhancing Employee Retention with AI-Driven Predictive Analytics

Author : Mettu Narayana Murthy, Dr. Manik Katyal

Date of Publication :15th March 2024

Abstract: Employee retention is a critical concern for organizations due to the significant financial and operational losses associated with high turnover rates. The integration of Artificial Intelligence (AI) and predictive analytics into human resources management has emerged as a promising solution. This study reviews the current literature on the impact of AI-driven predictive analytics on employee retention strategies, highlighting its benefits, challenges, and future directions. Through a qualitative analysis of existing studies and case studies, this research demonstrates how AI-driven predictive analytics can enhance employee retention through personalized interventions, early identification of at-risk employees, and data-driven decision-making.

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