Artificial intelligence (AI) is quickly changing supply chain management and ushering in a new age of innovation, agility, and strategic efficacy.  AI-based solutions are transforming conventional supply chains by automating boring tasks, providing real-time data analytics, and improving predictive skills.  The methods discussed in this paper Artificial intelligence (AI) applications including machine learning, computer vision, robotics, and natural language processing are simplifying processes and enabling more intelligent decision-making in demand forecasting, stock management, logistics, procurement, and customer service among other areas.  The paper offers a summary of how artificial intelligence is being included into the supply chain ecosystem at several points of contact and how it is fostering resilience, agility, and competitiveness.  Apart from the value-changing advantages, this paper examines significant concerns like data privacy, algorithmic bias, technology infrastructure, and talent adoption.  Emphasizing the important part intelligent automation plays in enabling long-term development and operational excellence in modern supply chains, this study looks at the benefits and drawbacks of using artificial intelligence.
 

Artificial Intelligence (AI), Supply Chain Management, Intelligent Automation, Predictive Analytics.