Deep Integration of Intelligent Logistics and Supply Chain under Digital Transformation Empirical Evidence of Inventory Precision Control and Cost Optimization Supported by IoT Technology

Abstract

Driven by the digital economy and industrial digital transformation, the deep integration of intelligent logistics and supply chains has become a key approach to improving operational efficiency and resilience. Wireless sensing and electromagnetic information transmission enabled by Internet of Things (IoT) technologies provide essential support for real-time perception and intelligent coordination in modern logistics systems. Traditional supply chains still suffer from inventory backlogs, demand forecasting deviations, high operational costs, and information asymmetry. To address these challenges, this study constructs a four-in-one analytical framework integrating IoT technology, inventory precision control, cost optimization, and supply chain integration. The proposed framework systematically investigates the internal mechanisms of intelligent logistics under digital transformation and emphasizes the application of IoT-enabled real-time data acquisition, information exchange, and intelligent decision-making for precise inventory management. The results demonstrate that the proposed approach provides an effective pathway for improving inventory control accuracy, reducing operational costs, and enhancing supply chain collaboration, offering valuable guidance for intelligent logistics systems supported by wireless communication and electromagnetic sensing technologies..