Big data, implanting a smart brain for logistics
Recently, e-commerce giant Amazon announced an important move: requiring all three sellers to increase the delivery speed of their parcels by 40% from August 31st. So, how does Amazon improve the logistics efficiency of the entire platform while ensuring sales? In fact, Amazon is not only an e-commerce platform, but also a technology company, which is the first in the industry to use big data, using artificial intelligence and cloud technology. The management of warehousing and logistics has introduced services such as predictive transfer, cross-regional distribution, and cross-border distribution, and has thus established a global cross-border cloud warehouse. It can be said that big data application technology is the key to improving logistics efficiency and meeting the supply chain challenges.
DHL released the "Logistics Trend Radar" report that in the next 5-10 years, there are 28 key trends affecting the development of the logistics industry, and digitalization will become the biggest driving force for industry change. The new logistics trend is customer-centric and constantly innovating.
Data is the magic of empowerment, especially for logistics big data applications, enabling logistics companies to increase efficiency, reduce costs, and seek new business opportunities. Big data is becoming the biggest benefit in the logistics industry. Lenovo's rapid development of the logistics industry in recent years, large logistics, large circulation, new logistics, new channels, new retail, unbounded retail, etc., all of which are based on data applications, data realization and data precipitation. result.
1, the value of the data
In 2018, YunBi Technology proposed the fourth year of “delivering with data-driven supply chain”. Since its development, Yunbird Technology has a capacity pool of 1 million professional drivers, serving 16,000 enterprise owners, covering 18 countries nationwide. Province, 22 first- and second-tier cities, 77 prefecture-level cities and above, and radiating around 550 kilometers of urban circles. Han Yi, founder and CEO of Yunbird Technology, said at the recent "New Economy New City Match - 2018 China Green Smart City Logistics Summit" hosted by Yunbird Technology: "In the next three years, the main development direction of YunBi Technology will point to New energy creates a new business ecosystem from the operational and aftermarket, and the foundation of this new ecosystem is data, including data collection, data processing, and data algorithms."
Big data technology allows us to make more scientific and accurate assessments of things in the economic arena. In recent years, due to advances in computers, software, and networking technologies, big data, shared data, cloud statistics, and cloud computing have emerged, allowing people to accurately count and arrange orders, consumption, and logistics.
In the shipping industry, China's big data platform construction is currently known as the “ship automatic identification system information service platform” for maritime systems; the information system for shipping management includes “international transport ship capacity registration management system” and “sea container freight rate filing system” And the "China Ship Trading Network", etc.; the industry big data platform currently owned by the government authorities only has the tariff filing acceptance system, which is the first first hand established since the implementation of the International Maritime Regulations and the Implementation Regulations of the International Shipping Regulations. Big data platform. The construction, safe operation and freight rate inspection of the platform have played a positive role in regulating the orderly and fair competition of the international shipping market.
It can be said that big data has penetrated into all aspects of the logistics field. As an emerging technology, it brings more opportunities for the development of logistics. For logistics enterprises, the rational use of big data technology will play an active role in enterprise management, customer relationship maintenance, resource allocation, etc., making logistics decisions more efficient and accurate. In 2014, the application scale of China's logistics big data application market was 292 million yuan, and it is expected to reach 18.823 billion yuan by 2020.
“The benefits of data are obvious,” said Wang Zhengwei, vice president of Yunling Technology Capacity. “It can better perceive the world. For example, it can quickly clarify what is happening in all aspects of logistics. This is the value of data.”
In recent years, there have been many policies at the national level to support the progress of logistics big data, including: “Guidelines for the Construction of Third-Party Logistics Information Service Platforms”, “Special Action Plan for Trade and Logistics Standardization”, and “Medium and Long-term Planning for Logistics Industry Development (2014- 2020), "Guiding Opinions on Promoting Logistics Informatization Work", etc., all use big data and information processing methods as an important guiding ideology for the transformation and upgrading of the logistics industry.
Recently, at the 2nd China Smart Logistics Technology Innovation and Development Forum, Zhu Yu, vice president of China Information Association, said: "The development of China's logistics industry is coming!" Zhu Yu believes that smart logistics has become "Internet + efficient logistics" The core point is that the logistics industry is entering a new era of development.
According to Jin Jing, director of big data algorithm and strategy department of SF Technology Co., Ltd., in the era of rapid development of information technology such as cloud computing, big data and artificial intelligence, the logistics industry as a part of the supply chain, for the high-quality development of the economy It has played a decisive role.
Cui Zhongfu, vice president and secretary general of the China Federation of Logistics and Purchasing, said that the transformation of the new and old kinetic energy of logistics has further accelerated. One of them is the new concept of logistics, such as the new logistics concept proposed by the rookie network. The new logistics is "big data + smart + synergy" to serve new retail.
Big data and artificial intelligence have brought the traditional model of the logistics industry from the shoulder to the new era of technology-driven logistics.
2, data support shared freight
Sharing is a hot word in the current social economy. As a new business model, the sharing economy is favored by the industry, and shared freight is one of the highlights.
Luo Peng, co-president of the Mangang Group and CEO of the truck, said that China has the world's largest road logistics market, but the freight industry participants are extremely fragmented, with long industrial chains and many links, resulting in low circulation efficiency and high cost. The social transformation and the maximization of idle vehicles have become urgent needs.
As a technology foundation, big data is well prepared for the arrival of shared freight voyages. The third-party platform is one of the best practices. The use of big data by third-party platforms can provide an efficient business docking for logistics companies, shipping companies or individual vehicles and sources, and reduce logistics costs while improving logistics services.
In the freight industry, Zhongjiao Xing Road is a logistics enterprise with a solid basic big data platform and comprehensive advanced data services. The national road freight vehicle public supervision and service platform that is in charge of operation covers more than 95% of the country's heavy-duty trucks. Accumulated large amount of data big data with data volume up to 10PB, the data range covers dynamic and static data of heavy-duty trucks, vehicle-related data, vehicle-related data, and logistics companies' “oil, ETC, finance” data, daily new data The amount is over 8TB. This platform superimposes multi-dimensional and real-time intelligent big data in the logistics scene, forming a multi-dimensional data puzzle with “people, cars, enterprises and goods”, thus launching diversified data application services and breaking the logistics industry. The traditional development deadlock.
“Before I used to keep in the wholesale market, the door of the community, etc. Now I can sit on the house and hold the mobile phone to talk about the one-way waybill.” Liu Baosheng, a cargo driver who lives in Beijing’s Shilihe, is engaged in the construction of building materials and joined the freight a few years ago. After the platform, his work mode changed from the offline "small live" to the online one-click "snap".
According to industry analysts, the logistics platform is based on advanced logistics information network data, tracking the excess space of each truck in real time, and sharing it intelligently with the customers who need it, reducing the empty running of the truck while ensuring that the customer's goods are safely and efficiently delivered to the destination. To fully realize the maximum efficiency of transportation.
The Highway Science Research Institute of the Ministry of Transport and the G7 Wisdom Internet of Things Company recently released the “Analysis Report on China's Highway Freight Industry Based on Big Data (2017)”, showing that the efficiency of truck traffic between major cities in China is gradually increasing; the average fuel consumption of road freight vehicles Downstream; intelligent technology applications will effectively achieve cost savings. According to the report, with the support of digital technology and leading enterprises, China's road freight industry is developing towards a safe, efficient, green and economic trend. The prospect of intelligent and digitalization of the entire logistics industry can be foreseen.
3, digital traction industry file upgrade
With technology-driven and digital traction, Suning's smart logistics has achieved remarkable results. As of the end of March 2018, Suning Logistics and Tiantian Express had a total storage area of nearly 7 million square meters and a total of 21,904 express delivery outlets. Suning Logistics' socialized operating income (excluding Tiantian Express) increased by 84.84% year-on-year. Based on big data analysis, intelligent packaging recommendation, routing network optimization, green courier box placement and recycling, etc., the Suning logistics operation efficiency and cost control ability are significantly enhanced.
The arrival of the era of big data pointed out a new direction for the transformation and upgrading of the logistics industry, providing new impetus and empowering the logistics industry. Over the years, the logistics industry has been “more, smaller, scattered, chaotic” and information asymmetry, which has always restricted the development of the logistics industry. China's logistics costs account for 15% of GDP, and developed countries are 7% to 8%. China's logistics efficiency still has room for improvement. As a new way to innovate traditional logistics, digital economy has become a basic strategic resource, especially big data, making the logistics industry smarter and more efficient.
The national trunk line logistics intelligent dispatching system, based on cloud computing, big data, mobile internet and artificial intelligence technology, focuses on complex event detection analysis and processing technology, big data intelligent analysis and decision-making technology innovation, and uses advanced algorithm models. It realizes intelligent vehicle matching, intelligent real-time scheduling, intelligent standard quotation, and tracking and visualization of logistics information. In 2015 and 2016 alone, the monthly mileage of drivers on the full platform increased from 9000km to 12000km, and the average time for finding goods decreased from 2.27 days to 0.38 days.
The person in charge said that the core competitiveness of the vehicle-matching platform enterprise is the number of users with absolute advantages, as well as the daily precipitation of big data.
Fuyou truck, an Internet trading platform that focuses on inter-city vehicle transportation, has got rid of the thinking of directly matching the information platform of the goods, opened up the broker bidding model, and relied on the large amount of data accumulated during the transaction process, using big data and artificial intelligence. Technology, developed the Turing smart quotation system. Turing's intelligent quotation system calculates the freight rate based on market supply and demand, supply category, vehicle type, line, weather and other factors, and timely quotes to generate a vehicle transport price list. The average owner's delivery on the Fuyou truck platform saved 8% of the transportation cost, and the vehicle and inquiry time was reduced by more than one hour.
Yan Chao, the head of Fuyou Truck Operations, has the most profound experience in the operation of Fuyou Truck: “The data is the core competitiveness of the information platform or trading platform. For trading platforms, the data is The key to improving transaction accuracy and establishing a credit rating system."
There are still many applications of “logistics + big data”. Like the promotion of rookie electronic face sheets, the printing speed can be increased by four to six times, which makes the delivery efficiency increase by at least 30%, and can also improve the printing efficiency and sorting of couriers. Efficiency, in terms of environmental protection and protection of personal privacy, has achieved certain results and won the favor of consumers.
The arrival of “Big Data + Logistics” has opened up a new operating model for smart logistics. It is not only the development of the times, but also the path that smart logistics must take. “The future of logistics companies depends on data, technology and talents.” Ma Yun The 2017 Global Smart Logistics Summit said.
I believe that in the future, the combination of “Big Data + Logistics” will bring unexpected surprises.
4. The big data industry is still in its infancy
It is understood that the logistics big data industry has a long life cycle, generally in 5-8 years, the data accumulation and precipitation in the early stage is time-consuming and labor-intensive. At present, China's logistics big data industry is in its infancy. Experts predict that the next five years are expected to develop rapidly and take the lead in realizing big data appreciation.
At present, China's logistics big data industry still has information barriers, collection and other pain points.
The insiders reflected that the current data on truck drivers, the blacklist data of logistics companies in banks, the frequency of fines for truck drivers, the frequency of overloading, and the frequency of traffic violations have not been interconnected, which has affected the service provided by the shared freight platform to some extent. the quality of.
“Platform companies hope to cooperate with relevant administrative agencies to promote the sharing of data. According to this platform, the driver can better understand the situation of drivers and provide more personalized services. The relevant rights and interests of drivers are also more secure.” Luo Peng said.
Logistics in the new retail era requires more accurate forecasting of sales, allocation of inventory, and delivery of goods to customers with higher efficiency, lower cost, and better service experience. Logistics under supply chain management relies on the collection, analysis, processing and timely updating of a large amount of information and data. Information communication between logistics companies and any node in the supply chain is required, and this information may exist in platforms of different architectures. Therefore, “in the process of implementing lean supply chain management, data integration is a top priority.” Many logistics industry people have the above consensus.
Guo Lei, senior vice president of the Best Group and dean of the Vehicle Research Institute, believes that for enterprises, there are still many bottlenecks in the cost reduction and efficiency of logistics, even in the face of current big data, cloud computing and Internet of Things. New opportunities, in order to grasp the development opportunities, it is not easy to achieve cost reduction and efficiency. For example, many car companies, big teams, car owners and various equipment manufacturers, the capacity data can be obtained in real time, but the business operation data is difficult to own. In the current state of front-end consumption affecting back-end production, in order to better reduce logistics costs and improve operational management efficiency, it is necessary to explore.
Not only does road freight have bottlenecks in the use of big data, but the maritime industry. It is reported that the shipping industry has the longest chain in the entire logistics system. The other aspects of the shipping industry chain, especially the nationwide NVOCC credit rating system, require strong support from the shipping big data platform. "The maritime enterprises have private and state-owned enterprises, and they are wholly-owned and joint-venture. There are joint ventures and Chinese and foreign points, which are complicated and complicated, which makes it difficult to connect the data of shipping companies. The efficient, orderly and transparent international shipping services require market shipping. The construction of credit system and other credit system is urgently needed to support the dynamic update of the shipping big data platform.” An expert in the shipping industry called for.
Jing stressed that the preparation of data is crucial for the development of smart logistics. "In general, China's logistics industry lacks a sense of science and technology. Although the amount of data accumulated by the company is large, these data are more in some reports. Not enough to support big data analysis, artificial intelligence and other applications."
Data is the basis for intelligent logistics operations and a prerequisite for intelligent decision making. In the era of smart logistics, data collection needs to be more and more precise. "We need to collect not only core data, but also more refined data. With these data, we can do regular analysis and understand the diversity of customers. Demand, in order to achieve optimal business decisions, that is, 'intelligent decision-making'." Jin Jing said.
