Artificial intelligence in supply chain optimization: data driven strategies

This study explores the potential applications of data science and artificial intelligence in enhancing supply chain operations. Predictive analytics for demand forecasting, Artificial intelligence (AI)-powered algorithms for route optimization, and risk assessment models to aid in decision-making are some of their main areas of interest. The article covers case studies from significant sectors that have effectively used artificial intelligence technology to improve supply chain efficiency, increase responsiveness, and reduce operating costs. The paper illustrates how artificial intelligence might revolutionize contemporary supply chain management by examining various applications.