Optimizing Workforce Planning and Strategy through AI based Talent Management at Metro Rail Corporations in India

The rapid expansion of metro rail networks in India has created a pressing need for efficient workforce planning and strategic talent management. Traditional human resource approaches often fall short in addressing the dynamic demands of large-scale, technology-driven operations. This paper explores the application of Artificial Intelligence (AI) in optimizing talent management practices within Metro Rail Corporations across India. By leveraging AI-driven analytics, predictive modelling, and intelligent workforce allocation, organizations can enhance recruitment accuracy, forecast skill requirements, reduce attrition risks, and improve overall operational efficiency. The study highlights key AI applications such as automated competency mapping, workforce scheduling, and real-time performance monitoring. It further examines implementation challenges, including data integration, employee adaptability, and ethical considerations. Through case-based insights and a proposed AI-enabled workforce strategy framework, the paper demonstrates how integrating AI in talent management can significantly strengthen organizational resilience, reduce costs, and ensure service quality in India’s rapidly growing metro rail sector.