Abstract
Sustainable Supply Chain Management [SSCM] focuses on integrating environmentally sustainable practices into supply chains to balance economic growth with environmental care and social responsibility. The adoption of Artificial Intelligence [AI] in SSCM is revolutionizing supply chain operations by offering new opportunities for efficiency, transparency, and sustainability. The research paper is basically done to find out the field’s trends and current research status. Further, the aim of the research is to derive the major concepts and social collaboration on study. The study highlights the emergence of block chain technology as a significant area of interest within SSCM and AI, alongside the importance of green supply chain practices and big data utilization for enhancing sustainability and management practices. The paper underscores the potential of AI-driven technologies, such as predictive analytics and machine learning, to improve supply chain management by enhancing decision-making accuracy, reducing inefficiencies, and promoting sustainable practices. The most used terms in the research are Artificial Intelligence, Supply Chain, Decision Support Systems, Decision Making, and performance. The paper explores three main themes; these include the emergence of block chain technology, the interplay between AI and green supply chain practices, and the significance of management practices alongside big data and sustainability considerations. This thematic analysis suggests areas with potential for further research and development. This paper underscores the critical role of AI in advancing sustainable supply chain practices and outlines the current state of research, key contributors, and future directions in this interdisciplinary field.
Keywords: Artificial Intelligence, Big Data, Block chain Technology, Sustainable Supply Chain Management.