The Application of big data in Intelligent Logistics

Today, with the rapid development of new generation of high-tech such as artificial intelligence, big data and cloud computing, smart logistics has been greatly developed. The logistics industry has also gradually penetrated into various industries, which has contributed to the development of big data technology to a certain extent.


With the support of big data technology, there is a closer combination between human and logistics equipment, and between equipment and equipment, and a intelligent logistics system with huge function is formed to realize the automation and intelligence of logistics management and logistics operation. It can be said that big data technology is the basis of building intelligent logistics.


What is intelligent logistics? As the name implies, intelligent logistics than ordinary logistics industry more intelligent operation, which depends on the application of big data. Intelligent logistics, refers to the use of integrated intelligent technology, including big data, AI, artificial intelligence, cloud computing, so that the existing logistics system can imitate the human brain for intelligent operation, with learning, perception, reasoning and other capabilities to achieve the automation of logistics distribution, information and networking.


Compared with ordinary logistics, intelligent logistics attaches more importance to the integration of resources, hoping to realize the automation, visualization and intelligence of logistics through connecting Internet of things, Internet, and then using scientific and effective management, so as to reduce cost, improve efficiency and productivity level, and then improve the experience of users in the industry.


With the development of e-commerce, strong and efficient logistics support has become a trend. The traditional logistics method has the advantages of low efficiency, more personnel and high cost. In the face of the increasingly heavy logistics pressure, the merchant may not be able to deliver the goods in a traditional way, and the efficiency can be improved through the connection of big data and the socialization. Now, it's important to have business data and visualization, which is the first step to achieve a high-efficiency logistics.