How will ai change the logistics industry?


With the extensive application of artificial intelligence, the founders of some logistics companies have tried to use artificial intelligence technology to optimize logistics links and improve logistics efficiency. The G7 logistics data service company has created a refined intelligent tube car system, which brings better service experience to users through refined data monitoring. The cainiao network of alibaba has developed the delivery robot cainiao xiaog, which is helpful to solve the problem of the last kilometer delivery. Jingdong launched unmanned aerial vehicles and unmanned warehouses, which not only changed the traditional delivery mode of the logistics industry, but also greatly improved the logistics efficiency.
How will ai change the logistics industry? How will the combination of the two industries react? In this regard, China enterprise reporter interviewed huang chenghui, a senior engineer at guangdong university of finance.
China enterprise news: what are the main aspects of the impact of artificial intelligence on the logistics industry?
Huang chenghui: as far as the logistics industry is concerned, the technical application of artificial intelligence mainly focuses on the fields of intelligent search, reasoning planning, pattern recognition, computer vision and intelligent robot.
In warehousing link, for enterprise warehouse location optimization, artificial intelligence technology can according to the realistic environment of various constraints, such as customers, suppliers and manufacturers of geographical location, transportation, economy, labor availability, construction costs, tax system, etc., to fully optimize and learning, and close to the optimal solution of the location model is given. Artificial intelligence can reduce the intervention of human factors, make the site selection more accurate, reduce the cost of enterprises and improve the profits of enterprises.
In the aspect of inventory management, artificial intelligence reduces the waiting time of consumers while separating logistics related functions, making the logistics operation more effective. One of the most widely known applications of ai technology is to analyze large amounts of historical data, learn and summarize relevant knowledge, establish relevant models to interpret previous data and predict future data.
Inventory management method is one of artificial intelligence technology application earlier, by analyzing the historical consumption data, dynamic adjustment of inventory levels, maintain orderly circulation enterprise inventory, improve customer satisfaction at the same time, increase the cost of enterprise blind production waste, makes the enterprise can always provide high quality production services.
For the planning of transportation routes, the delivery and sorting of intelligent robots and the extensive use of intelligent express containers have greatly improved the efficiency of logistics system and greatly reduced the industry's dependence on manpower. With the maturity of technologies such as driverless, transportation in the future will be faster and more efficient. The time accuracy of logistics distribution will be improved through real-time tracking of traffic information and adjustment of transportation routes. And unmonitored intelligent delivery system will greatly reduce the use of packaging, more environmentally friendly.
China enterprise news: what problems the logistics industry faces in the process of informatization construction?
Huang chenghui: the informatization construction of logistics needs to increase the investment in infrastructure. Traditional logistics enterprise informatization often adopts the development from inside to outside, information internalization and "island problem" are prominent. The investment in Internet infrastructure such as cloud computing, big data, the Internet of things and smart terminals helps enterprises directly access the Internet, which can promote the wide flow of information and achieve wider information sharing and use, thus reducing the cost of information processing.
China enterprise news: how should traditional logistics companies better embrace artificial intelligence? What are the problems and challenges while integrating with artificial intelligence?
Huang Chenghui: artificial intelligence brings to the logistics industry is not only good, to not be able to embrace the traditional logistics enterprise of artificial intelligence, the higher the threshold of the artificial intelligence technology, different from the traditional information construction, there is not enough technical talent pool, will result in only the construction of information system of enterprise resource waste and failure. This is an opportunity and a serious challenge for traditional logistics enterprises.
If traditional logistics enterprises want to embrace artificial intelligence, from the point of pain of the combination of artificial intelligence and logistics industry, I think the following three aspects can be considered.
First, we should have a long-term perspective and build a team of technical talents who are interested in improving the application of artificial intelligence in the logistics industry. In the early stage, this team is fully familiar with all aspects involved in the logistics industry.
According to the specific business scenarios of enterprises and various business chains involved in logistics, the application and development of intelligent logistics in a small range is carried out for specific goals. Do not take the large and complete system as the goal of intelligent logistics.
Second, an important foundation of intelligent logistics is the basic data of logistics. It is necessary to pay great attention to the basic data of logistics. As a rookie logistics enterprise, jack ma's essence is to acquire basic data of logistics and then perfect the data ecosphere of its e-commerce.
For logistics enterprises, they must be able to timely collect and analyze all basic logistics data. If they can respond in time on the first two timely bases, the system infrastructure of intelligent logistics will be successful. Therefore, it is necessary to pay more attention to and invest in the Internet of things, to fully reserve logistics data and lay a foundation for the application of intelligent logistics.
Iii. The core objective of intelligent logistics is to improve the production efficiency of logistics, so as to improve the competitiveness of enterprises in the industry. Although mechanization, automation and the Internet still have a lot of room to improve the productivity of the logistics industry, the application of artificial intelligence will lead the logistics industry to move more radically across the stage of mechanization, automation and even the "semi-intelligent" logistics industry of the Internet.
Artificial intelligence mainly expands the efficiency of human mental work. Artificial intelligence can perform accurate production scheduling according to market sales, supply chain production, logistics distribution, warehouse inventory level, even fault tolerance probability of each link, and make the maximum use of existing resources and reduce the cost and loss to extremely low level, which cannot be achieved by manual production scheduling.
Faced with the increasingly complex market environment, enterprises' risk control and operation decision-making have exceeded the ability of human managers. Management teams that fail to invest and utilize artificial intelligence will be largely eliminated in the competition, and the application ability of artificial intelligence will determine the competitive order of the industry.

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