Core Insights - The article discusses the challenges faced by small and medium-sized suppliers and distributors in the industrial internet ecosystem, particularly their exclusion from traditional financing due to their size and lack of creditworthiness [1] - Legendchain's supply chain finance system aims to bridge these financial gaps by transforming dormant supply chain credit into liquid assets [1] Group 1: Traditional Supply Chain Finance Challenges - Traditional supply chain finance models heavily rely on the core enterprises' guarantees, making the process cumbersome and difficult to penetrate multiple supplier levels [3] - The reliance on core enterprises' balance sheets limits the accessibility of financing for smaller suppliers [3] Group 2: Legendchain's Innovative Approach - Legendchain's system is based on real transaction data, logistics data, and warehousing data from the industrial internet platform, creating a digital credit system that does not depend solely on core enterprises [3] - The system captures the entire transaction chain seamlessly through API integration, transforming static numbers into dynamic digital assets that can be evaluated by financial institutions [3][5] - This allows upstream suppliers to leverage receivables from quality buyers to apply for financing, enabling rapid fund disbursement [3] Group 3: Value Addition to the Ecosystem - Legendchain enhances ecosystem cohesion by providing convenient financial services, increasing loyalty and dependency among partners, and addressing their survival and development challenges [3] - The platform can generate sustainable income through financial technology service fees, moving beyond reliance on transaction commissions [3] - The system accumulates and verifies data over time, offering insights into the operational health and credit levels of chain enterprises, thus supporting risk pricing within the ecosystem [3] Group 4: Technological Integration and Benefits - The core advantage of Legendchain lies in the deep integration of technology and finance, utilizing blockchain for data integrity and traceability, and big data models for intelligent risk control [5] - The automation of financing processes significantly reduces operational and risk costs for financial institutions, encouraging them to lend to small and medium enterprises [5] - Legendchain not only provides an IT system but also builds a new financial ecosystem based on the industrial internet, creating a closed loop where transactions generate credit, credit becomes assets, and assets flow back into the ecosystem [5]

Core Insights - The core viewpoint of the articles emphasizes that industrial digital finance is becoming a crucial breakthrough for addressing the financing difficulties faced by small and medium-sized enterprises (SMEs) in China [1][3][4] Group 1: Industrial Digital Finance Development - Industrial digital finance was officially proposed in 2022, evolving from various service models such as supply chain finance and inclusive finance, aimed at solving the financing challenges of SMEs [1][2] - The development of industrial digital finance is based on digital credit, providing decentralized financial services independent of core enterprises, allowing SMEs to obtain financing based on real transactions and data within the industrial chain [3][8] Group 2: Challenges and Opportunities - SMEs are currently facing dual pressures of rising costs and weak market demand, leading to a continuous squeeze on profit margins, particularly in traditional manufacturing sectors [2][4] - The existence of information asymmetry and "data silos" is a core issue hindering SME financing, as financial institutions struggle to assess the true financial status of these enterprises [4][5] Group 3: Ecosystem Collaboration - The development of industrial digital finance requires a collaborative ecosystem involving financial institutions, technology companies, and industry platforms to facilitate data flow and sharing [6][7] - Key challenges include the need for digital transformation within financial institutions, the opening of data interfaces by industry platforms, and the role of technology companies in providing support [6][7] Group 4: Practical Applications and Innovations - Successful cases have emerged where platforms like Zhongqi Yunlian connect core enterprise ERP systems with bank risk control models, enabling real-time verification of critical data [7] - The transformation of financial services from a singular function to a system solution is underway, integrating financing services into the industrial digitalization process [8]