This review research paper aims to provide a comprehensive examination of the applications of artificial intelligence (AI) and machine learning (ML) techniques in the field of supply chain management (SCM). The purpose is to identify the theoretical frameworks, methodologies, and key findings that have emerged in this domain, highlighting the research's practical, social, and theoretical implications. The paper is grounded in the theoretical foundations of AI and ML, exploring their potential within the context of SCM. It examines various theoretical perspectives, including optimization models, predictive analytics, and decision-making frameworks, to understand the ways in which AI and ML can enhance supply chain operations. A systematic literature review methodology is employed to gather relevant research articles and publications. The review encompasses a wide range of sources, including academic journals, conference proceedings, and industry reports, to ensure a comprehensive analysis of the topic. The identified studies are critically analyzed, categorized, and synthesized to extract key insights and trends