Integration Of Artificial Intelligence In Supply Chain Management: Challenges And Opportunities

Abstract

The integration of Artificial Intelligence (AI) in supply chain management (SCM) represents a significant advancement with profound implications for modern businesses. This review research paper critically examines the challenges and opportunities associated with this integration. Through a comprehensive analysis of existing literature, this paper identifies key challenges such as data integration, technology adoption, and organizational readiness. Additionally, it explores the diverse opportunities AI presents in optimizing supply chain processes, including demand forecasting, inventory management, and logistics optimization. Furthermore, this paper discusses the potential impact of AI integration on various stakeholders within the supply chain ecosystem, including suppliers, manufacturers, distributors, and customers. By synthesizing insights from both academic research and industry practices, this paper provides valuable insights for businesses aiming to leverage AI technologies in their SCM strategies. Ultimately, this research contributes to a deeper understanding of the complexities involved in the integration of AI in SCM and offers recommendations for addressing challenges while maximizing the opportunities presented by this transformative technology.