What is the concept of intelligent logistics?

Intelligent logistics is the use of integrated intelligent technology, so that the logistics system can mimic human intelligence, with thinking, perception, learning, reasoning judgment and the ability to solve certain problems in logistics.

That is, in the circulation process to obtain information so as to analyze the information to make decisions, so that commodities from the source to be implemented tracking and management, the realization of the flow of information faster than the flow of physical goods. That is, through RFID, sensors, mobile communication technology, etc. to make the distribution of goods automation, information and network.

Along with the Internet of Things, cloud computing, big data, mobile Internet and other new generation of information technology development, intelligent logistics gradually become the future direction of logistics information.

Intelligent logistics is a modern and comprehensive logistics management system supported by information technology, which is not only satisfied with the passive perception of logistics information in traditional logistics, but also realizes comprehensive analysis, timely processing and self-adjustment by intelligently collecting, integrating, and processing the information of various aspects of logistics such as purchasing, transporting, packaging, loading/unloading and handling, circulation and processing, distribution, and information service. Functions.

Wisdom logistics has the following three major characteristics:

Interconnection, data-driven: all logistics elements to achieve interconnection, all business digitalization, the logistics system to achieve the whole process of transparent and traceable; all the data business to "data" driven decision-making and implementation, for the logistics ecosystem empowerment.

Deep Collaboration, XX Execution: In-depth collaboration between cross-groups, cross-companies, and cross-organizations, based on intelligent algorithms for the global optimization of the logistics system, scheduling the XX division of labor between the various parties involved in the entire logistics system.

Autonomous decision-making, learning and enhancement: software-defined logistics to achieve autonomous decision-making, and promote the development of programmed control and automation of the logistics system; through big data, cloud computing and artificial intelligence to build a logistics brain, decision-making in perception, learning in execution, optimization in learning, and continuous upgrading and learning and enhancement of the actual operation of logistics.