Artificial Intelligence and Machine Learning for Supply Chain Management Operations

This chapter examines the influence of Artificial Intelligence (AI) and Machine Learning (ML) on contemporary supply chain management (SCM), emphasizing their effects on operational optimization, efficiency enhancement, and decision-making. Currently, enterprises utilize AI-driven technology to tackle problems like demand forecasting, inventory optimization and transportation logistics. The chapter explores essential AI and ML techniques that enables predictive analytics, real-time monitoring, and autonomous decision-making, to achieve a competitive advantage in the market. The chapter also explores the implementation and ethical challenges associated with AI-driven supply chain management, including algorithmic biases, data privacy concerns, and the need for qualified personnel. The investigation shows how AI complements human decision-making rather than replaces it by examining the evolving role of human expertise in conjunction with intelligent technologies. Future trends and innovations of AI and ML in the field of supply chain management is also discussed