AI-powered analytics optimize orders, inventory, transportation, and demand forecasting, reducing costs while enabling real-time visibility. Autonomous logistics robots move goods seamlessly across production and logistics facilities, streamlining workflows and driving efficiency. Together, these innovations are reshaping supply chain management into a smarter, faster, and more cost-effective operation.
With Automated Material Handling Systems (AMHS), manufacturers can track and manage material flows in real time—critical in industries like semiconductors and advanced logistics. Powered by AI, these systems integrate robots, RFID, and vision technologies to improve accuracy, traceability, and safety while cutting operational costs.
Next-generation transport systems enable real-time order and inventory monitoring, predictive demand forecasting, and optimized delivery routes. Automated vehicles and robotics boost productivity, while dashboards and monitoring tools ensure quick responses to issues. The result: lower costs, greener operations, and a more resilient supply chain that enhances customer satisfaction.
SK AX’s logistics automation solutions are designed to flexibly integrate mobility systems such as OCS,ACS, AGV, OHT, AMR, conveyors, as well as transport kits like cassettes and trays. By analyzing speed, load capacity, product characteristics, and handling methods, we create the ideal transport environment. Optimized route planning ensures agile, efficient, and safe material handling—maximizing logistics efficiency and driving higher productivity.
SK AX’s logistics automation goes beyond simple transport to deliver a truly smart logistics system. By integrating MCS with RFID, sensors, and vision cameras, it enables accurate item identification and real-time inventory tracking across locations. With intuitive interfaces for workers and automated scheduling for inbound and outbound flows, it ensures precise, optimized inventory control while maximizing efficiency across production and logistics processes.
