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供应链全程可视化
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工业互联网平台实现供应链全程可视化
Sou Hu Cai Jing· 2025-11-21 04:58
Core Insights - The industrial internet platform is transforming traditional supply chain operations through real-time tracking and precise perception, leading to a fully visible supply chain [1][3] - The integration of IoT, big data, and AI technologies creates a digital nervous system that addresses long-standing issues of information lag and data fragmentation in supply chain management [3][5] Group 1: Supply Chain Visibility - Supply chain visibility allows companies to monitor supplier production progress, inventory levels, and quality data in real-time, significantly reducing procurement risks and fostering trust in supplier relationships [3][5] - The use of digital twin technology enables managers to view physical operations in a virtual space, providing insights into equipment utilization, energy consumption, and production quality [5] Group 2: Logistics and Delivery - Real-time tracking of goods through GPS and environmental sensors ensures that products, especially sensitive items like pharmaceuticals and perishables, are transported under optimal conditions [5] - The system can automatically adjust routes in response to traffic or weather changes, ensuring timely delivery [5] Group 3: Overall Value Proposition - Supply chain visibility enhances operational efficiency, reduces inventory costs, and improves risk management for companies, while providing consumers with reliable product quality and faster delivery services [5] - The trend towards visibility is promoting collaboration among upstream and downstream enterprises, driving overall industry upgrades [5] Group 4: Future Trends - The application of 5G and edge computing will further enhance the precision and intelligence of supply chain visibility, enabling faster data transmission and more accurate predictive analytics [6] - This shift represents not only a technological revolution but also a transformation in management philosophy, moving from reactive to proactive decision-making driven by data [6]