AUTOMATION IN SUPPLY CHAIN MANAGEMENT: THE IMPACT OF ARTIFICIAL INTELLIGENCE ON OPERATIONAL EFFICIENCY AND CUSTOMER EXPERIENCE
Keywords:
Artificial Intelligence (AI) Supply Chain Management (SCM) Operational Efficiency Customer Experience Machine Learning Predictive Analytics Automation Inventory Management Demand Forecasting LogisticsAbstract
The integration of Artificial Intelligence (AI) in Supply Chain Management (SCM) is revolutionizing the way organizations optimize operations and decorate client experience. AI technology, including machine mastering, predictive analytics, and robotics, are being leveraged to automate techniques, lessen costs, improve selection-making, and enable real-time information insights. This paper explores the impact of AI on operational performance via analysing its programs in inventory control, demand forecasting, logistics, and high-quality manipulate. Additionally, the examine examines the position of AI in improving purchaser revel in thru personalised services, faster delivery instances, and stepped forward product availability. By comparing present day trends and case studies, the paper demonstrates how AI is reshaping the future of deliver chain management and using competitive advantage in a virtual-first business surroundings.
