Mapping the research landscape of AI in Supply Chan Management: A bibliometric study

Organizations' approaches to efficiency, transparency and resilience are changing as a result of the integration of Artificial Intelligence (AI) into Supply Chain Management (SCM).Using “Scopus” as the main database, this study provides a bibliometric analysis of research articles from 2015 to 2025. The researchers engage “VOSviewer” software to analyse publications trend, significant authors, contributions at countries level and the development of major themes. According to the findings, there has been a significant rise in scholarly output in terms of research work over the years. Some nations have been publishing large number of academic articles (and books) while others are influencing through the higher citations route.The results also show that research on AI in SCM is not just focused on optimization; rather, it is increasingly overlapping with block-chain technology, digital transformations and sustainability. These research trends showcases the inter-disciplinary research which is happening in the academic world.Even with these developments, number of issues still unaddressed. Widespread and successful deployment is still hampered by problems including data governance, personnel preparedness, organizational adoption and algorithmic transparency. The paper emphasizes that artificial intelligence (AI) in supply chain management (SCM) is at a crucial point. Although its transformational potential is generally acknowledged, its success hinges on responsible adoption techniques that are adapted to ethical and organizational contexts.By mapping the conceptual structure and detecting recurring themes, researchers had highlighted the currents of use of AI in SCM. While pointing to future paths where cross-technology integration, resilience-building frameworks and ethical considerations which will steer the next phase of advancement; this study can be for academicians, industry practitioners and policymakers.