International Journal of Science, Engineering and TechnologyAuthors: Dr.A.Parameshwari, Assistant Professor Dr.B.AGILA
Abstract: Attrition in the workforce is a critical strategic issue for digital businesses, where replacing a worker costs 150% of the annual salary for technology-specific positions. In this research paper, a comprehensive study on strategic employee retention models based on predictive analytics, customized employee experience, and skill-based training models is conducted. Using data collected on 3,500 employees at international IT corporations, it was found that prediction models based on the use of random forest algorithms demonstrate an accuracy of 87.3% in forecasting employees at risk, which helps identify such workers six months before resignation. The Integrated Retention Model includes people analytics for employee risks assessment, individual career paths, comprehensive onboarding up to 90 days, and continuous learning systems. According to comparative analysis, the application of AI-based retention techniques leads to a reduction of voluntary attrition rates by 31%, while retention of key talent increases by 28%.
