Advanced International Journal for Research

E-ISSN: 3048-7641   •   Impact Factor: 9.11

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6, Issue 5 (September-October 2025) Submit your research before last 3 days of October to publish your research paper in the issue of September-October.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 5
September-October 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

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

Author(s) Mr. Suresh Muchipalli, Dr. Jyoti Jain
Country India
Abstract 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.
Keywords Metro Rail transport Manpower planning management, Workforce optimization in metro rail transport with AI, Talent analytics in Metro Rail transportation sector, NITI Aayog AI policy for metro rail transportation in India, Change management in AI adoption in workforce deployment
Field Sociology > Administration / Law / Management
Published In Volume 6, Issue 4, July-August 2025
Published On 2025-08-31
DOI https://doi.org/10.63363/aijfr.2025.v06i04.1106
Short DOI https://doi.org/g9z753
View / Download PDF File

Share this



E-ISSN 3048-7641
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

AIJFR DOI prefix is
10.63363/aijfr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About AIJFR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-91574-37535 editor@aijfr.com