In the past, 2017 was called the first year of artificial intelligence. With the rapid development of online retail, the logistics industry is now undergoing an era of transformation of wisdom and technology. To some extent, the industrial landscape of "smart logistics" has already begun.
In recent years, China's express delivery industry has maintained a rapid growth. According to the statistics from the State Post Bureau, during the period from 2006 to 2015, the compound growth rate of express delivery in China reached 40%, and the business volume also increased from 1 billion in 2006 to 20.67 billion in 2015, an increase of nearly 20 times. The annual business volume will exceed 40 billion. It is not difficult to foresee that e-commerce and express delivery are likely to become important forces that will boost the development of smart logistics in the coming years.
In addition, the concept of "car networking" is becoming more and more popular with the breakthrough of various technologies. According to SBD and Accenture research data, it is estimated that by 2020, the sales of new vehicles equipped with networked technology will increase at a compound annual growth rate of 21%, and the penetration rate of networked systems will also increase from 14% in 2013 to 50% in 2010. the above.
On the other hand, the extensive needs of express logistics and other industries are continuously forcing technological breakthroughs and changes in thinking, and more and more companies are beginning to actively deploy smart logistics. Whether it is the Internet giants or Internet of Things companies, they all hope to get the tickets before the advent of the all-intelligent era of the logistics industry.
“We are entering the era of the Internet of Everything, smart devices and data will infiltrate every aspect of the industry and become an important infrastructure.” G7 founder and CEO Yu Xuexuan said, “I think the future can be known, but also can be reached of."
It is understood that G7 is a company based on the Internet of things and big data technology, and provides comprehensive management services to the logistics industry. It also belongs to the company that was involved in the application of artificial intelligence in the field of logistics. It was announced in December last year that it had acquired ProLogis and Bank of China Investment Co., Ltd. is financing US$70 million.
“Our business model is very simple. It is to rely on the Internet of Things technology to provide fleet management services to logistics fleets.” The positioning of G7 is a purely technical company and does not involve the matching of car and cargo and fleet integration services. "Our capability is to serve as an Internet of Things service company and to provide customers with basic services through sensor plus algorithms." At present, G7's core services to customers are time management, security management and cost management, which involve logistics and transportation security issues. Risk management is particularly concerned.
Interestingly, G7's customers include the SF Express and Santongyida Express, E-Commerce Jingdong, Amazon, Wal-Mart retail, etc. Most of these customers already have their own logistics system.
The explanation for this dropout is that the G7 actually does not provide such services as ERP and ordering systems. "We don't provide this to our customers because the customers have been there for a long time. But these systems used to operate this process in a human way: I want to place orders, I want to go, I want to arrive, I want to settle, All The process is filled in by people. Now we use sensors and algorithms, which are equivalent to using the robot to automatically fill in the process in the original system."
It is based on this need that G7 has established data connection with hundreds of downstream companies. "For example, if you click on "Cargo Tracking" in Jingdong, the tracking is actually achieved by connecting with us."
At the same time, data interoperability is also a consensus reached between the G7 and about 80% of the upstream OEMs. “We now have data exchange agreements with all of these mainstream automakers. For example, if heavy-duty trucks are equipped with their front-loading equipment, they will receive G7 as long as they are customers of G7.” For a customer, no matter whether it has bought the Dongfeng Windmill, or liberated the car, or the heavy truck, it is managed on a platform."
The dropout says that both customers and OEMs tend to allow companies to provide an integrated IoT service while sharing all data. "There is no thing that the manufacturer's data is not open to customers afterwards. There will not be any manufacturers who say to customers that there is no data for you to buy my car, or I only show you an interface. This data cannot be transmitted. This is impossible. From the customer's point of view, a fleet has a variety of brands, each with a variety of components, and I must use a unified integrated intelligent operations management platform."
Given the series of new energy policies and environmental protection policies recently promulgated by the country, coupled with the increasing popularity of electric vehicles and hybrid vehicles, the automobile market is likely to be completely subverted and the entire automotive supply chain is facing restructuring.
“From production bases, production methods, and production content, everything must be completely re-established,” said Xue Xiaohun. “We should certainly look at how new infrastructures can be used with the Industrial Internet of Things. This is what we see. Clear opportunity." For the full spread of science and technology in the field of logistics, the dropout also gave his timeline: “The driver is as big as ten years, and the professional work is two or three years, it will be an overall change in artificial intelligence.”
There have been two voices in the field of artificial intelligence: one is that AI will replace people, and the other is that AI will help people improve their efficiency. In the eyes of dropouts, they are doing more to help improve the efficiency of operations, security, and financial management. "I think efficiency is improving every day, and it will probably enter a turning point within a year or two. The original 5% and 10% increase will take a certain period of time, and if it accumulates to a certain degree, it will reach a 100% increase."
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