[Knowledge Post: Current Status and Construction Strategies of Vehicle–Cargo Matching Information Platforms]

Current Situation, Issues, and Development Strategies

01 The Model and Advantages of a Vehicle–Cargo Matching Platform

In the logistics sector, there is a well-known set of data: More than 20 million trucks, 300 kilometers of travel, and a 72-hour gap between stops for loading and unloading—these figures starkly reveal the inefficiencies and wasteful, polluting practices plaguing the logistics sector. It is precisely these challenges that have kept China’s logistics performance at such a low level. Under these circumstances, leveraging the internet to match vehicles with cargo—thereby optimizing the allocation of transport resources and reducing waste—has become a key driver of innovation and growth in the industry. Although the vehicle‑cargo‑matching space still lacks a mature business model and faces issues such as an oversupply of vehicles and a shortage of reliable credit systems, improving freight‑transport efficiency remains an urgent, industry‑wide imperative. As a result, vehicle‑cargo matching holds significant potential for future development.

The truck‑freight matching sector has seen the emergence of many outstanding startups, such as Huochebang and Yunmanman, Platforms such as No. 1 Cargo and Tiandi Hui are dedicated to enabling shippers and carriers to achieve precise, real-time matching in the shortest possible time, thereby improving logistics efficiency and reducing the costs of vehicle‑cargo coordination.

I. Definition and Main Functions of the Vehicle–Cargo Matching Information Platform

The vehicle‑cargo matching information platform is built on the “Internet” In the “+” environment, By leveraging online platforms to enable direct communication between shippers and carriers, we eliminate intermediaries throughout the transportation process. Supported by internet technologies, this approach enhances information retrieval capabilities and improves the efficiency of vehicle–cargo matching, thereby reducing issues arising from information asymmetry and increasing vehicle load factors.

The vehicle‑cargo matching information platform offers the following four functions:

( 1) Business Functions: The vehicle‑freight matching information platform provides shippers and carriers with a wealth of data, including vehicle types, cargo categories, transportation routes, nearby freight opportunities, real-time vehicle locations, and contact details for both shippers and carriers.

( 2) Online Payment Functionality The vehicle‑freight matching information platform supports Alipay and online banking payments, and also enables shippers to settle freight charges through bank‑guaranteed transaction platforms, thereby reducing payment risks.

( 3) In-transit cargo management: After completing a transaction through the vehicle‑cargo matching information platform, shippers can track shipment details via the platform, while carriers can log in at any time to the location‑tracking system to monitor their vehicle’s status and current position.

( 4) Transaction Review Function: Many freight‑matching platforms have implemented a mutual credit‑rating system for carriers and shippers. The platforms store each transaction’s feedback, helping both parties make more informed decisions.

II. Main Business Models of Vehicle–Cargo Matching Platforms

Freight‑carriage matching platforms operate in two models: a pure‑platform model and an online‑only model. + Online mode.

( 1) Pure platform model

The pure‑platform model involves building an online platform that provides vehicle owners and shippers with digital information‑query services, enabling them to access suitable vehicle‑availability or cargo‑availability listings and ultimately complete transactions. Typical examples of such platforms include China PeiHuo.com and China Wutong.com, among others.

( 2) Online + Offline Model

Simply put, online + The offline model involves establishing service centers across regions nationwide, leveraging these localized hubs to integrate and coordinate transportation capacity resources, thereby building an extensive offline network of transport assets—essentially a large-scale capacity pool. At the same time, by harnessing internet technologies to develop a mobile app, this online platform complements the offline network, delivering more comprehensive and attentive vehicle‑freight matching services to customers.

III. The Role of the Vehicle–Cargo Matching Information Platform

( 1) Meet the logistics information needs of both vehicle owners and shippers. Freight‑carriage matching platforms have brought transparency to freight information, significantly reducing inefficiencies such as resource waste and persistently high transportation costs that once stemmed from mismatches between vehicles and cargo. These platforms enable intelligent vehicle‑cargo matching, allowing carriers and shippers to connect swiftly and close deals, thereby greatly satisfying freight demand.

( 2) Saves time and costs for both suppliers and buyers. The vehicle‑freight matching platform has eliminated intermediaries from the transportation process, enabling carriers and shippers to bypass brokers when seeking suitable loads or vehicles. This not only saves substantial brokerage fees but also standardizes pricing and practices in the freight‑matching market. Meanwhile, by posting their needs on the platform, both parties can communicate online once they’ve identified mutually suitable resources, thereby reducing the time and labor costs associated with manual resource discovery and matching, while enhancing overall economic efficiency.

( 3) Integrate logistics resources. Freight‑carriage matching platforms enable carriers and shippers to focus on their core businesses. Leveraging new technologies, these platforms facilitate intelligent matching of available trucks and cargo, reducing costs, while offering smart, user‑friendly features that attract users and give rise to value‑added services, thereby effectively boosting platform profitability.

( 4) Promote energy conservation and emissions reduction, and improve the environment. By leveraging a vehicle‑freight matching platform, shippers and carriers can achieve successful matches in the shortest possible time, enabling optimal allocation of transportation resources, reducing the empty‑haul rate of freight vehicles, cutting energy consumption and emissions, and making a meaningful contribution to environmental improvement.

02 The Current Status and Challenges of Freight-Matching Platforms

I. Current Status of the Development of China’s Vehicle–Cargo Matching Information Platform As China’s transportation infrastructure continues to improve, coupled with the rise of e‑commerce that facilitates the efficient nationwide flow of resources, logistics and freight transport have entered a period of rapid growth. Driven by favorable factors such as technological advances, supportive policies, ample capital, and robust market demand, information platforms for vehicle‑cargo matching—enabling seamless connections between vehicles and cargo—have proliferated like mushrooms after rain, in addition to… Beyond the app, WeChat official accounts and websites—benefiting from lower development and operational costs—continue to grow rapidly by providing drivers with real-time freight information. The freight‑matching information platform market is vast and highly diversified. As market competition intensifies, the industry is entering a phase of consolidation. Among them, the following types of freight‑matching platforms hold particularly promising prospects: ( 1) Highway‑port type: Tiandi Hui and Transfar Logistics are typical examples. 2) Intra‑city type: Yunniao Delivery and No.1 Truck are typical examples. 3) Long‑haul full‑truckload type: Duoduo Che and Fuyou Truck are typical examples. 4) Long‑haul trunk‑line platform type: Yunmanman, Yunce Net, and Wuliu Xiaomi are typical examples. Due to unclear monetization models, freight‑matching information platforms generally rely heavily on external financing. Some of these platforms are built by large logistics enterprises, giving them distinct advantages in capital, talent, technology, and user base, which enables relatively rapid growth. At present, most freight‑matching platforms offer only basic transaction‑matching services, attracting shippers and carriers through offline outreach and incentives such as fuel cards. However, lacking a strong service orientation, they struggle to cultivate high levels of customer loyalty, resulting in less than satisfactory growth outcomes. II. Issues Facing China’s Vehicle–Cargo Matching Information Platforms ( 1) Service and Integrity Issues Take, for example, a platform that recruits shippers and drivers through grassroots marketing campaigns. In such cases, the platform offers incentives to field staff based on the number of users they bring in. As a result, most promoters prioritize sheer volume over user quality, sometimes even onboarding users who do not meet the platform’s criteria. Meanwhile, to maintain high user engagement, the platform fails to implement robust verification of the authenticity of posted information, making it difficult for carriers and shippers to find suitable matches. Over time, this leads to a significant loss of users. ( 2) High reliance on capital and an unclear profit model. Take the two major freight‑car matching information platforms, Huochebang and Yunmanman, as examples, In April 2016, Huochebang successfully raised US$35 million, followed by an additional US$110 million in December. By August 2017, its Series B funding had totaled US$327 million. In June 2016, Yunmanman closed a US$50 million Series C2 round, then secured US$110 million in a D1 round that December, and later raised US$120 million in a D3 round in September 2017. On December 27, 2017, with support from local governments and investors, Huochebang and Yunmanman announced a strategic merger to form Manbang Group. In April 2018, Manbang Group reported closing a US$1.9 billion financing round. However, these freight‑matching platforms suffer from a lack of clear service‑oriented business models, making it difficult to establish mature, sustainable revenue streams. As a result, they rely on continuous external financing to stay afloat—a model that is inherently unsustainable. Achieving profitability would not only ensure the platform’s basic operations but also provide sufficient funds to enhance services, deliver a superior user experience, and foster a virtuous cycle. ( 3) The platform lacks reliable payment methods, resulting in significant user churn. Payment security is undoubtedly the top priority for freight‑matching information platforms. However, many platforms have inadequate payment systems, making it difficult for carriers and shippers to conduct transactions quickly, conveniently, and securely, thereby undermining trust in the process. Carriers worry about being paid late or not at all after delivery, while shippers fear that carriers may abscond with the cargo and disappear, leading to a gradual decline in user engagement and posing a significant obstacle to the platform’s growth. ( 4) Low industry standardization makes market promotion challenging. At present, the industry has yet to establish standardized service procedures, transportation pricing, and payment methods. Meanwhile, irregularities in loading and unloading operations make it difficult for the platform to provide valid documentation, thereby increasing the challenges and costs of market promotion. ( 5) Incomplete information system Insufficient resources—such as talent, capital, and technology—have resulted in a low level of digitalization among some freight‑matching information platforms, preventing shippers and consignees from conveniently and efficiently tracking the entire cargo‑transportation process in real time. At the same time, these platforms have failed to establish an intelligent supply‑demand matching system, forcing carriers and shippers to spend considerable time weighing trade-offs before making decisions, thereby posing significant obstacles to platform development.

03 Development Strategy for the Vehicle–Cargo Matching Information Platform

I. Establishing a Trust System for Vehicles and Goods
Freight‑carrier matching platforms must rigorously enforce a real‑name authentication system. During the rollout phase, these platforms should leverage this system to collect accurate information from both carriers and shippers, thereby barring those who do not meet the required qualifications from accessing the platform. Take Yunmanman as an example: the platform conducts in‑person reviews and takes photographs of shippers and carriers seeking to join, and only after passing this offline verification can they register accounts on the platform. In addition, Yunmanman has developed a relational graph that screens users based on factors such as their trading partners, personal credit scores, long‑haul routes, and feedback ratings, selecting only those with higher trustworthiness. Beyond this, freight‑carrier matching platforms should also incorporate insurance mechanisms to foster trust between unfamiliar carriers and shippers, helping to address market inefficiencies and disorder.

II. The platform must innovate its revenue model. At present, freight‑carriage matching platforms primarily generate revenue through membership fees, a single‑track approach that yields relatively low returns, making it difficult for these platforms to achieve sustainable growth. To address this, platform operators should identify appropriate monetization models tailored to their specific stage of development. For example, during the grassroots marketing phase, the platform can attract drivers and shippers by offering subsidies and providing them with free services. In the mid‑growth stage, once a certain level of customer traffic has been established, the platform can adopt a commission model, charging a percentage of each order as its revenue. Finally, in the mature stage, the platform can generate profits by developing a range of value‑added services. For example, value-added logistics services, insurance services, and after-sales services for used cars—such as auto parts and repairs. Take Luoji Logistics, for instance: by leveraging big data to conduct comprehensive analyses of user information and uncover underlying patterns, it has developed a revenue model that both supports the platform’s growth and resonates with users, making it a valuable case study for other platforms. III. Establishing an Online Payment Platform Model To attract users, freight‑matching platforms must enhance their level of digitalization centered on user needs. The security of transactions largely determines whether users stay or leave; therefore, platforms must conduct a comprehensive analysis of user demands, optimize the user interface, and refine transaction mechanisms. For example, such platforms can integrate third‑party payment systems to facilitate online transactions between shippers and carriers, thereby safeguarding transaction integrity and fostering user retention. In addition, these platforms can offer a range of logistics‑related financial services and comprehensively develop the aftermarket, providing drivers and vehicle owners with diverse conveniences. IV. Promoting the Standardization of the Vehicle–Cargo Matching Process Standardizing the vehicle‑cargo matching process begins with standardizing information exchange. By leveraging internet technologies and big‑data collection platforms, data can be categorized and aggregated, thereby enhancing the platform’s online freight‑matching efficiency and boosting overall matching performance. Next, the procedures for loading and unloading must be standardized to reduce handling time; achieving this requires establishing clear norms for key transport parameters such as vehicle type, weight, and length. Furthermore, transportation pricing should be standardized: by forecasting outbound and return‑trip load‑matching probabilities across regions and time periods, a rational pricing mechanism can be established based on real‑time supply‑and‑demand dynamics, accompanied by transparent price‑detail disclosure. Finally, payment processes should be standardized, encouraging carriers and shippers to engage in smart‑contract‑based transactions. Once registered on the platform, users can enjoy convenient payment and settlement services, while information technology enables comprehensive oversight of the transaction process, ensuring greater transparency. Ultimately, A vehicle‑cargo matching platform is simply an information terminal, Its operation and development rely on offline resources and services, with relatively little dependence on platform‑development technologies. By leveraging personalized design, freight‑matching platforms can deliver a high‑quality user experience. However, users must recognize one key point: the core of a truck‑cargo matching platform is service. Logistics is a complex system composed of numerous links, and relying solely on… Many of the app’s issues remain unresolved. Freight‑matching platforms hold significant growth potential, effectively addressing information asymmetry in the logistics sector, reducing vehicle empty‑haul rates, and enabling efficient integration of transport capacity. However, as the market heats up and capital pours in, many startups operating in this space have become overly ambitious, pursuing aggressive, cash‑burning expansion strategies that fail to tackle underlying issues. To achieve sustainable development, freight‑matching platforms must ground themselves in the realities of China’s freight market, proceed pragmatically, and diligently address the myriad challenges they face.

04 Robinson: Light-asset, non‑vehicle‑owning freight forwarder

Founded in Founded in 1905, C.H. Robinson, a leading international third-party logistics (3PL) provider, has, over more than a century of growth, established a global logistics network spanning North America, South America, Asia, Europe, Australia, and the Middle East. The company collaborates with over 66,000 transportation service providers and offers customers production‑procurement and information‑consulting services, along with comprehensive solutions for freight transportation and logistics outsourcing.
Robinson Company selects the most suitable carriers for each specific operation, making it a pioneer in the non‑asset‑based transportation model. Committed to driving quality and efficiency across global supply chains through technological and process innovation, it elevates transportation standards and delivers exceptional service to both customers and suppliers. Information technology, human resources, and processes are the key to Robinson Company’s success in achieving non‑asset‑based transportation. , and it is also the inexhaustible driving force behind Robinson Company’s sustainable development. I. Information Technology Robinson Company has partnered with renowned technology developers to build a distinctive global technology platform. Navisphere, meanwhile, has long invested substantial resources in R&D to maintain its platform’s competitive edge, with annual R&D spending averaging as much as $50 million. The Navisphere platform enables Robinson customers to achieve end-to-end, global logistics visibility and offers customized freight‑matching services that fully address users’ individual needs. In contrast, most domestic small- and medium-sized freight‑matching platforms, constrained by limited funding, offer incomplete app functionality and services; some even simply copy competitors’ offerings. When unexpected disruptions arise during transportation, shippers and consignees are unable to obtain timely updates, let alone implement effective response strategies. As a result, these platforms’ value remains largely confined to transaction matching, leaving considerable room for improvement going forward. Given cost considerations, it is impractical for small and medium-sized freight‑matching platforms to build a technology infrastructure comparable to Navisphere. Moreover, with limited user bases, establishing a large-scale technical platform would lead to significant resource inefficiencies. A more viable approach is to partner with robust logistics cloud service providers and leverage their cloud‑based solutions. II. Human Resources Robinson, which places particular emphasis on the user service experience, boasts more than 11,500 outstanding employees with professional expertise and well-rounded competencies. Robinson Company places great emphasis on human resource development, having established a comprehensive talent‑training system. By implementing an employee stock ownership plan, the company boosts workforce motivation, fosters a sense of responsibility and mission, safeguards employee interests, and simultaneously enhances shareholder returns. In China, freight‑matching information platforms are predominantly small to medium-sized, with relatively limited organizational scale. Given constrained financial resources, these platforms can adopt a “technology cloud”‑like approach to build a “talent cloud,” collaborating with external logistics professionals under a win‑win partnership model to jointly create value for users. III. Process Management The logistics operations process comprises a series of stages and multiple components. As customer demands become increasingly personalized and diversified, achieving customized logistics services and proactively pursuing innovation in logistics offerings have become especially critical. Robinson Company places the user at the center of its approach and, based on customer needs, launches… PTI (Process Transformation and Integration Program) continuously optimizes and refines logistics operations, delivering high-quality services while effectively reducing operating costs and enhancing overall supply chain efficiency. However, many platforms suffer from delayed development of internal control mechanisms and poorly designed internal control processes, which significantly undermine user experience. To address this issue, Domestic vehicle‑freight matching information platforms need to draw on the standards of industry leaders while pursuing incremental innovation. Because the business operations of different vehicle‑cargo information-matching platforms vary to some extent, their internal control processes should also differ accordingly. At the same time, it is essential to ensure alignment with regulatory policies. To foster the industry’s sustained and stable development, regulators may establish standards governing settlement methods, transaction reviews, and other aspects, requiring platforms to promptly integrate these standards into their process‑management systems. The logistics industry is a capital-intensive sector, with a market capitalization exceeding For the 600-billion-yuan logistics giant United Parcel, fixed assets account for more than 50% of its total assets. In contrast, Robinson is an outlier: it invests relatively little in property, plants, and equipment, making it one of the rare “light‑asset” logistics giants. Comparing the two companies’ current‑asset compositions, accounts receivable represent less than 20% of United Parcel’s total assets, whereas at Robinson this figure exceeds 50%. This disparity largely stems from Robinson’s “non‑vehicle‑owning carrier” model: in handling freight‑forwarding fees for shippers, it must advance funds upfront, driving up its accounts receivable. Accounts receivable are a double-edged sword: they ensure that actual carriers receive timely payment, thereby underscoring the value of the non‑vehicle‑owning carrier model and boosting logistics efficiency. Yet they also impose significant financial pressure on such operators. Of course, logistics firms adopting this model can mitigate some risks by tapping external financing to transfer liabilities to investors. One manager of a company using the non‑vehicle‑owning carrier approach once complained on social media that with 400 daily orders and an average advance of 10,000 yuan per order, the company’s monthly accounts receivable would swell to roughly 120 million yuan. How have overseas online freight‑matching platforms evolved, and what sets them apart? What are their operating models? Although many vehicle‑freight‑matching information platforms maintain robust order volumes, corporate managers cannot afford to rest easy. Faced with mounting financial pressures, they must continually seek suitable capital partners for funding. During periods of capital market downturns, investors tend to be especially cautious; to manage risk, they typically favor companies that have already established a clear competitive edge and enjoy strong brand recognition. From this perspective, many so‑called “non‑vehicle‑owning carrier” firms claiming thousands of daily orders may in fact not be fulfilling the core functions of such a model—they merely provide transaction‑matching services without participating in the settlement process. After all, only a small fraction of these enterprises can secure substantial backing from investors and afford to front large sums of freight payments.