• Dr. B. Jagadish

The advent of Artificial Intelligence (AI) presents a transformative opportunity to revolutionize Library Management Systems (LMS), moving beyond traditional automation to create intelligent, adaptive, and highly efficient platforms. This article explores the innovative prospects and diverse uses of integrating AI into LMS functionalities. We delineate how AI can enhance core library operations, including intelligent cataloging and metadata generation, personalized user services through recommendation engines and chatbots, predictive analytics for collection development and resource allocation, and advanced semantic search capabilities. The integration of AI promises to significantly improve operational efficiency, optimize resource utilization, and deliver a highly personalized and intuitive user experience, thereby elevating the library's role as a dynamic knowledge hub. Furthermore, AI-powered LMS can facilitate proactive engagement with users, support data-driven decision-making, and streamline administrative tasks, allowing librarians to focus on higher-value activities. This paper argues that an AI-powered LMS is not merely an upgrade but a strategic imperative for libraries aiming to remain relevant and effective in the digital age, fostering innovation and meeting the evolving demands of their communities.

AI-Powered LMS, Library Management System, Artificial Intelligence, Library Innovation, Smart Libraries, Personalized Services, Predictive Analytics, Metadata Automation, User Experience.

"CREATING AN AI-POWERED LIBRARY MANAGEMENT SYSTEM: INNOVATION AND USES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.86-88, February-2026, Available :http://www.jetir.org/papers/JETIRHJ06019.pdf

"CREATING AN AI-POWERED LIBRARY MANAGEMENT SYSTEM: INNOVATION AND USES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. pp86-88, February-2026, Available at : http://www.jetir.org/papers/JETIRHJ06019.pdf