Research on Supply Chain Inventory Management of Modern Manufacturing Enterprises Based on IoT Technology

With the continuous progress of the Internet of Things (IoT) technology, modern manufacturing enterprises are facing new challenges and opportunities in supply chain management. How to effectively reduce the logistics and information flow in the supply chain system and improve the synergy among the links in the whole supply chain has become one of the hotspots of attention in academic and business communities. The objective of this research was to gain insights into how inventory is managed in modern manufacturing supply chains based on IoT and to explore its impact on production efficiency and cost management. By incorporating IoT technology in the manufacturing industry, the inventory management process in the supply chain can be improved by providing real-time observation, intelligent forecasting, and automated management of inventory. At the same time, this technology reduces the total cost of logistics and improves the competitiveness of enterprises. Thus, it is one of the future development trends of the manufacturing industry. In the research process, field case studies were conducted using data parsing techniques to evaluate the effectiveness of IoT technology in supply chain inventory management. Data were collected from several advanced manufacturing enterprises. The advantages of using this technology in the supply chain were assessed from multiple perspectives. It was found that the IoT technology helped enterprises reduce the cost of holding inventory, increase the speed of inventory turnover, and satisfy the various needs of customers effectively. Meanwhile, data mining and visualization based on the big data platform helped managers understand the current inventory status and future trends, providing a scientific basis for decision-making. IoT provides end-to-end visibility of all segments of the supply chain and identifies bottlenecks and delays in the logistics process. This adjusts the production plan according to changes in the market. The cloud-based supply chain inventory management system proposed in this study showed its value in applications. Enterprises can respond to fluctuating market demand flexibly through continuous monitoring and in-depth analysis of real-time data, thus reducing the possibility of excess inventory.