International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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

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Volume 7 Issue 3
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“AI-Driven Human Resource Optimization”

Author(s) Dr. Roopa Traisa A, Dr. Preethi K A, Ms. Padmashree . P, Dr. Ranjini M L
Country India
Abstract AI-driven human resource optimization increases worker productivity and efficiency by strategically allocating talent and streamlining HR processes. By analysing employee capabilities, availability, and performance data, artificial intelligence (AI) systems can better schedule, match the best applicants to projects, and predict future employment needs. Businesses can use this method to adjust in real time to variations in demand, ensuring that tasks are completed with the least amount of downtime and boosting employee engagement. By automating the candidate screening process and finding outstanding talent more rapidly, AI enhances both hiring and staffing. It also encourages customized employee development by offering training and career paths that align with business goals and individual talents.
AI-driven HR optimization is a helpful tool for companies trying to remain competitive and adapt to shifting market conditions since it boosts worker adaptability, reduces turnover, and enhances operational efficiency. Through data-driven insights, AI promotes a more responsive, engaged, and productive staff, which contributes to long-term organizational success.
Keywords AI-driven human resource optimization, HR process automation Workforce adaptability, Reduced turnover, Operational efficiency, Organizational success.
Field Sociology > Administration / Law / Management
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-05-16
DOI https://doi.org/10.36948/ijfmr.2025.v07i03.44529
Short DOI https://doi.org/g9kfrg
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