IOT-Based Logistics Supply Chain Management System

The Logistics Supply Chain Management System Based on IOT Technology is a digital platform integrating sensing, transmission, and intelligent decision-making, designed to achieve visualized, automated, and efficient management from warehousing to delivery. Widely applied in manufacturing, e-commerce, cold chain, and third-party logistics, it enhances supply chain responsiveness and operational efficiency.

Using devices like RFID, GPS, and temperature-humidity sensors, the system collects real-time data on cargo location, status, and environmental conditions, leveraging wireless networks and the internet for rapid information transmission, eliminating traditional logistics “information silos”. At the application layer, big data analytics and AI algorithms optimize transportation routes, predict inventory needs, and schedule vehicle resources, reducing transport costs by about 20%. It supports real-time logistics tracking via mobile devices and uses blockchain to ensure data authenticity and reliability. The system also features an early warning mechanism for anomalies like overdue receipts, warehousing issues, or route deviations, enabling timely managerial intervention to boost overall efficiency.

Compared to traditional models, this system significantly enhances supply chain transparency and flexibility, responding to market changes within 15 minutes to adjust plans, reduce empty load rates, and cut comprehensive logistics costs by over 25%. It achieves “unitized operations, automated processes, visualized progress, and optimized costs”, creating an agile, reliable, and sustainable smart supply chain system for enterprises.