Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{201632,
        author = {Kalyani Bharat Lokhande and Prof.Janhavi Shende},
        title = {A Study on the Impact of AI-Based Recruitment Systems and Advanced Production Planning & Scheduling Models on Organizational Efficiency: A Case Study of Tata Consultancy Services, Nagpur.},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {10043-10053},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201632},
        abstract = {Artificial Intelligence (AI) has revolutionized organizational functioning by optimizing recruitment systems, planning the workforce and production scheduling processes. Traditional companies are making rapid strides in implementing AI-driven recruitment solutions and sophisticated Production Planning & Scheduling (PPS) models to optimize operations, minimize manual labor, and boost strategic choices.Today's companies are seeking to adopt AI-based recruitment tools and cutting-edge Production Planning & Scheduling (PPS) models to optimize operations, cut down on manual labor, and enhance strategic choices. This research paper analyzes how AI-powered recruitment processes and automation of advanced scheduling can drive efficiency for an organization, specifically Tata Consultancy Services (TCS). , Nagpur. The study highlights the application of intelligent technologies in recruitment to enhance the quality of hires, job-candidate match, workforce analytics and recruitment time, and the optimization of project scheduling, resource allocation, workload balancing, and the coordination of projects and operations using more advanced PPS models.  This study uses descriptive and analytical research method with secondary data which is obtained from journals, research articles, company report, industry report and academic sources. The study reveals that the use of AI in recruitment has a profound impact on various aspects of the process, including minimizing time spent on recruitment, enhancing accuracy in screening candidates, mitigating recruitment bias, and fostering robust workforce planning processes. In addition, sophisticated scheduling and planning models enhance productivity, project performance, minimize operational delays and optimize organizational resources. AI in HR Management, AI Recruitment, AI Production Planning & Scheduling, AI for organizational efficiency, TCS Nagpur, AI workforce optimization, AI human resource analytics, AI in HRM.},
        keywords = {data analytics, Information Technology, Marketing Decision-Making, CRM, Digital Marketing, Tata Motors, Predictive Analytics, Customer Insights.},
        month = {May},
        }