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Industrial credit sharing mode accurately enables the freight industry

Time : 19/06/2022 Author : xa30tz Click : + -
        At present, China's economy is facing triple pressures of shrinking demand, supply shock and weakening expectations. Based on this situation, the central economic work conference pointed out that in 2022, stability should take the lead and progress should be made in stability. There is no doubt that continuously increasing financial support for small and micro enterprises and stabilizing enterprises and ensuring employment is to provide strong support for stabilizing the macro-economic market, which will surely become the primary focus of the financial industry in 2022. After the good start of the 14th five year plan, under the guidance of high-quality development policies, 2022 will also become a year of deepening scientific and technological innovation and a year of specialization and new empowerment. The freight industry is an important pillar industry of the national economy. It has a long industrial chain, high relevance, a wide range of employment, and a large consumption pull. It plays an increasingly important role in the national economy and social development.
        A large number of small and medium-sized enterprises involved in the freight industry often do not have sufficient guarantee capacity, which is a typical representative of difficult and expensive financing. Taking the road freight industry as an example, this paper discusses how to promote the precise empowerment of finance by establishing a data-driven credit sharing model. Take the heavy truck industry as an example. As the main means of transportation for inter city freight, its market size data is shown in Figure 1, which shows how large the market size of the freight industry is. Liquidity has always been a major obstacle to the development of the freight industry. The rigid expenditure on fleet or individual drivers and the backlog of upstream accounts receivable have seriously hindered the development of the freight industry. According to the requirements of the guide for the operation and service of road freight transportation of network platform, the network freight platform shall not default the freight at will.
        Individual drivers usually require the platform to pay the freight immediately after the completion of the transportation task, but the upstream owner and the platform have a certain accounting period agreement, which is generally more than 30 days. The funding gap between this leads to the need for the platform to prepare additional funds for advance payment. The larger the transportation scale undertaken by the platform, the greater the amount of funds required. According to relevant statistics, the demand for advance funds accounts for about 50% of the freight revenue every year, about 1.5 trillion yuan, but the actual demand for funds is only 50billion yuan. The emergence of basic information systems in the industry (such as network freight platform) connects the user end and the driver end, providing a certain solution for the traditional freight finance business, but there are still the following problems:.
        The construction idea of the industrial credit sharing mode is to use an open architecture to connect all parties in the industry, and use advanced technologies such as blockchain, machine learning, and scene feature engineering to link and analyze scene data. Through the trusted basic data and algorithm model factory, we can achieve accurate risk control of the scene. The credit sharing mode can be based on "model factory", support various model algorithms such as scorecard model, solve the credit reporting problems of small and medium-sized enterprises and individual drivers in the industry, and eliminate the concerns of financial institutions about the authenticity of the scene and loan risk, so as to realize the efficient connection between Finance and industry and promote the financial empowerment of the industry. Highlight 1: underlying blockchain technology.
        Blockchain is a point-to-point transmission mechanism. Through a variety of technical means such as distributed accounting, multi node consensus mechanism, asymmetric encryption and smart contracts, it establishes a strong trust relationship and value transmission network, making it distributed, untrusted, tamper proof, value transferable and programmable. Highlight 2: blockchain based data transaction control bus. It can realize the whole process management of trusted data governance. Once it is linked, it cannot be tampered with, provide data evidence for the performance and accountability of all links, enhance the ability of data collaborative supervision and management, and facilitate the later verification and proof, so as to realize the traceability and management of cross departmental data collection and utilization.
        Highlight 3: "multi party trusted computing" and other privacy computing frameworks. Solve the difficulties of open integration and value realization of data as a factor of production in a safe and controllable environment, and deploy multi-party secure computing engines at the data source for distributed data computing. The industrial credit sharing model will interpret the risk identification problems faced by financial institutions, shippers (the real repayment party in logistics business), logistics companies and their subordinate drivers and vehicles by virtue of the characteristics of data on the blockchain that are "tamper proof, traceable, open and transparent". 1. The combination of blockchain, reconciliation information and Internet of things data shows financial institutions a multidimensional and three-dimensional overview of logistics and transportation, highlighting the lines of logistics links and the historical reconciliation and settlement records of shippers based on blockchain, which has a positive reference significance for current businesses that need credit.
        The industrial credit sharing model is based on the scenario data of the industrial chain, establishes a financial risk control platform, and uses the scenario based credit scoring model to score the credit and risk stratification of small and medium-sized enterprises, so as to identify and reduce the risks in financial business. Credit scoring card model is one of the most common means of financial risk control. It uses a certain credit scoring model to score customers according to their various attributes and behavior data, so as to identify and reduce the risks in financial business. The traditional credit scoring card model algorithm can be further applied to the industrial credit sharing mode. Based on the abstract scene characteristic variables and machine learning algorithm, the following innovative advantages are formed:.
        The industrial credit sharing mode can realize the synergy among shippers, network freight platforms, logistics fleets and drivers, and realize the closed-loop ecological scenario from both horizontal and vertical aspects. The platform uses data privacy computing technology to set up a list sharing mechanism for data on the chain and introduce the corresponding incentive mechanism. Many parties participate in information maintenance, and the maintainer can charge a certain fee according to the needs of the data viewer, which is conducive to new entrants in the industry to timely find shippers and fleet drivers with poor credit records. Based on the data assets recorded in the history of the chain, protect the high-quality groups with reliable credit and stable operation, and promote the healthy, orderly and efficient development of the industry. This paper takes the freight industry as a representative to explore the path of building an industrial credit sharing model.
        In many industries, all parties in the supply chain are aware of the value of data, but they lack the ability to mine and apply the value of data. By constructing such an industrial credit sharing mode, we will break the serious phenomenon of regional and interregional information islands under the "circle culture", further optimize the market pattern, and help traditional industries step on the right track of digital transformation. At the same time, in the context of dual carbon, the "industrial credit sharing model" effectively promotes the financial penetration of small and medium-sized enterprises through the data enabled finance model, which will also greatly promote the replacement of traditional oil vehicles by new energy commercial vehicles, and leverage more financial resources to flow to the green field.
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