AI-Powered Supply Chain Management in Manufacturing: A Data-Driven Approach to Materials Logistics

Artificial intelligence triggers significant supply chain modifications through its ability to help organizations excel in operations and management and generate values under challenging conditions. The research explores how artificial intelligence affects supply chain control by analyzing its main elements which include Machine Learning technologies and predictive analytics systems and robotic technologies. Numerous contemporary business organizations continue integrating artificial intelligence technologies into their logistics systems due to recent advancements in AI technology. Numerous artificial intelligence systems and their relevant applications for supply chain operation improvement are evaluated. Supplemental support from AI enables supply chain operations through general benefits and specific improvements for sourcing operations and manufacturing and for delivery and returns. Operation excellence and time-sensitive optimization reach new superior levels through data-based decision support which makes artificial intelligence work better with supply chain management elements. Operational expenses and supply chain interruptions decrease when multiple sampling techniques including AI robotics and predictive analytics are implemented which gives better control of demand projections and inventory management in logistics organization. Streamlined IoT sensor data evaluation enables businesses to detect supply chain developments allowing them to develop strategic plans while minimizing potential risks. The combination of robotic systems with artificial intelligence power strives to optimize warehouse administration through automated processes which leads to quick deliveries and lower material waste numbers. Despite the need to fix data security issues and system integration challenges and expensive implementation, artificial intelligence brings revolutionary solutions for business resilience and sustainability and enhances agility to manufacturers through supply chain management.