Information Technology Application to Supply Chains Optimization

In today's dynamic market landscape, optimizing supply chains through Information Technology (IT) integration has become imperative for businesses striving to enhance efficiency and remain competitive. This research proposal aims to explore the utilization of AI (Artificial Intelligence) in optimizing supply chain operations. The primary objective is to investigate how AI technologies can streamline processes, reduce costs, and improve overall performance within diverse supply chain contexts. This study will examine common AI integration methods such as machine learning algorithms, predictive analytics, and autonomous systems. Case studies across various industries including manufacturing, retail, and logistics will be conducted to understand the practical applications of AI in supply chain optimization. Anticipated outcomes encompass a comprehensive understanding of the efficiency of AI technologies in supply chain management, identification of optimal AI integration methods, and development of frameworks for seamless implementation. By bridging the gap between AI capabilities and supply chain requirements, this research aims to provide actionable insights for businesses to enhance their supply chain efficiency and adaptability in an increasingly competitive landscape.