Recently, the 7th Annual Conference of the Freight Logistics Industry with the theme of "New Drive of Freight, New Engine of Change" was successfully held in Beijing.
CCCC Xinglu is based on the "logistics technology capability platform APAAS"."Smart"Intelligent in-transit service, with the advantages of efficiently empowering logistics-related enterprises to build logistics in-transit visual management capabilities, as well as the economic, social and environmental value created in the field of logistics and road freight industry, was successfully selected as the "innovative practice case" of the road freight industry in 2023 organized by the Road Freight Branch of the China Federation of Logistics and Purchasing, and was commended at this annual meeting.
At the same time, at the annual meeting, the China Federation of Logistics and Purchasing released the "2023 Road Freight Industry Development Report". The report provides an in-depth interpretation of the development of the road freight industry in 2023 from the aspects of policies and norms, market structure and scale, digitalization and intelligence trends, and development challenges. Based on product innovation and market practice, and relying on the long-term accumulation of logistics big data service advantages, CCCC Xinglu provides data support for the compilation of the newspaper.
With a new round of scientific and technological revolution such as AI to promote the innovation and upgrading of modern first-chain logistics technology, the majority of first-chain logistics enterprises hope to accelerate the process of digital transformation, break through the current situation of "volume increase and profit reduction" in the logistics market, and promote the quality and efficiency improvement of enterprise operation and development.
In the process of digital transformation of the logistics industry, logistics in-transit visualization is one of the important directions. Logistics in-transit services supported by cutting-edge technologies such as AI, Internet of Things, and big data can control the entire process of logistics and transportation in real time, and even achieve accurate business trends and risks through further mining and analysis of logistics data elements. These advantages are of great significance in helping enterprises improve efficiency, reduce costs, and enhance road freight safety. Therefore, more and more logistics-related enterprises have put forward an increasingly urgent demand for logistics in-transit visualization services around the refined management of the whole life cycle of waybills.
Over-the-horizon monitoring of carrier vehicles has always been a technically difficult problem to solve in logistics in-transit visualization. Due to the large number of cargo transportation and distribution processes in the logistics industry that cross organizations, regions and carriers, carrier-oriented enterprises or shippers with self-operated logistics business need to spend a lot of time and energy on the accurate tracking of freight vehicles in transit. In the traditional way, tracking often requires a lot of manpower to rely on instant messaging, which not only affects the efficiency of logistics operations, increases costs, but also makes it more difficult to efficiently respond to various unexpected risks. Some enterprises in the market with digital capabilities or providing digital solutions often focus on the integrated management of logistics business orders, waybills and financial systems, and often lack relevant investment and basic capabilities in research and development for logistics in-transit visualization.
In this regard, relying on the company's core technology, algorithm and resource advantages, based on the "logistics technology capability platform Apaas", CCCC Xinglu has created a "smart" intelligent in-transit service (hereinafter collectively referred to as "smart in-transit"), aiming to empower all logistics customers with low cost and high efficiency, and realize the visual management of freight vehicles in transit in the waybill scenario.
Smart in transit is an intelligent and efficient logistics management tool that unifies the freight business process through online means and realizes the automatic tracking and management of waybills in transit. The product provides modular, lightweight plug-ins and APIs in a low-quality innovation mode, so that enterprises can quickly integrate the core service functions of Smart on the way into the user's existing system within a few days or a week under the premise of ensuring that the original system is not replaced, and quickly empower and improve the intelligent level of business management.
With the support of AI technology, the smart in-transit achieves automatic control of the tracking of goods in transit, through intelligent alarms and early warnings, quickly predicts, finds and deals with problems, reduces risks in the transportation process, helps shorten the transportation time, and makes the entire logistics in-transit operation process "focused, really wise, and more labor-saving", especially so that managers and operators can only look at what they have to see from every order, save productivity from the sea of invalid data, and make labor more effective. Its specific functions include the following six aspects:
Intelligent tracking and visualization of the waybill itinerary
Smart on the way not only helps logistics operators accurately obtain the real-time location, speed, route, and environmental information around the vehicle, but also combines historical data and driving habits to further improve the future behavior and state of the vehicle through the self-developed travel algorithm model, and judge possible failures or abnormalities. When there is an abnormal situation in the vehicle, the system will automatically alarm the relevant personnel, and further optimize the priority and transportation route of the waybill to ensure the efficient delivery of the waybill and help the automation of the waybill circulation.
Multi-dimensional digital intelligence logistics weather system
Smart on the way The weather and phenological data are closely related to the logistics and transportation management process, so that the weather factors are fully integrated into the functions of route planning, trip backtracking, early warning and alarm, etc., which not only helps logistics operators manage and monitor the in-transit situation of the waybill from a more comprehensive perspective, but also analyzes the problems caused by weather factors to the waybill after the fact, so as to provide preventive measures and provide support for the smooth delivery of the waybill.
Waybill ETA** algorithm
In the face of the difficulties and pain points of truck ETA, Smart on the way combines industry accumulation and professional knowledge to build a dynamic ETA algorithm for trucks. The algorithm integrates road network information, dynamic and static business data, weather factors, policy restrictions and other elements to calculate and improve the estimated arrival time of trucks in real time, providing logistics operators with more accurate and real-time information on trucks in transit, and ensuring logistics efficiency and safety.
AI anti-theft robot
The built-in AI anti-theft robot can effectively identify illegal behaviors such as stealing, fleeing and cheating by dynamically analyzing the historical situation and real-time itinerary of the vehicle.
Exceptionally smart housekeeper during transportation
Through the integrated algorithm matrix, the intelligent housekeeper of abnormal transportation in transit can further identify the abnormal route of the vehicle, overtime parking and other conditions, and once the problem is found, it can send an alarm to the logistics operation personnel, with detailed information and solutions. Smart Manager supports the customization of the abnormal alarm threshold range to meet the personalized needs and preferences of users.
DIY waybill itinerary planning service
Flexible on the Road provides both static path planning and dynamic DIY itinerary planning. Static path planning relies on road network data and meteorological data, combined with changes in real-time data, to provide one or more optimal paths for logistics operators as a choice. DIY itinerary planning allows users to manually plan starting and ending points, transit points and routes according to their needs and experience to meet the needs of customized freight route planning.
At present, it serves hundreds of logistics head enterprises, small and medium-sized logistics companies, large and medium-sized manufacturing enterprises, state-owned financial enterprises, first-class departments and industry institutions, focusing on the visualization of logistics in transit.
In terms of economic benefits, from the dimensions of efficiency improvement and accident rate reduction, according to internal calculations, it can help enterprises reduce transportation costs by about 10%; At the same time, Smart on the way helps to enhance the resilience of the chain, helps enterprises understand the overall operation of the chain, and finds and solves problems in a timely manner. In terms of social benefits, smart on the way takes safety as the starting point, through the real-time in-transit control of trucks, as well as the first time to predict or discover abnormal situations, reduce the accident rate and improve the reliability of road freight as a whole; In addition, Agile on the way efficiently empowers managers and operators in the logistics industry to improve service levels and realize scientific decision-making supported by data elements, which can reduce the decision-making cost of enterprises by about 60% according to internal calculations. In terms of environmental benefits, Smart In-Transit helps reduce the transportation time and distance of road freight with refined in-transit management, focuses on the national "dual carbon goal", and promotes the green, low-carbon and sustainable development of logistics-related enterprises.