Embedded Supply Chain Finance Platform
1) Technology Service Fees: Charging core enterprises technology service fees for the supply chain system based on trans
Key Fields
FIELD STAMPS📌 Background
In 2026, regulatory encouragement of fintech-industry integration and industrial digitalization allow credit, payments, and installment services to be embedded directly into corporate ERP and procurement systems, making scenario-based finance a hotspot for capital competition. A validated industry benchmark is Haier Xinhaihui: as of May 2026, its supply chain bill scale exceeded 150 billion RMB, ranking among the top three nationwide, and its annual digital RMB service scale exceeded 10 billion RMB (per corporate disclosures); on the banking side, China Bohai Bank extends into vertical scenarios such as automotive through Bohai Bank Bohying E-Chain, leveraging core enterprise credit to finance upstream and downstream SMEs.
👤 Target Customers
Targeting SME manufacturers, distributors, and their upstream/downstream suppliers who utilize financial services directly within their ERP or procurement systems, with corporate finance departments serving as the payers.
💰 Revenue Streams
1) Technology Service Fees: Charging core enterprises technology service fees for the supply chain system based on transaction volume; 2) Financing Matchmaking: Charging matchmaking and loan-facilitation service fees based on financing credit limits; 3) Data Subscriptions: Charging financial institutions an annual subscription fee for data services; 4) Risk Modeling and Credit Scoring Output: (An opportunistic item with no public revenue figures yet).
🧮 Cost Structure
System research and development, blockchain/microservices architecture maintenance, compliance audit fees, risk model training, and partner banks' funding costs.
🛡️ Moat
1) API standardization deeply embedded in corporate business workflows, creating high switching costs; 2) Proprietary risk models combined with industry data, forming a data barrier; 3) BaaS partnership agreements with multiple banks locking in foundational funding sources.
🔑 Keys to Success
- Deep integration of industry data
- API standardization and high-availability microservices architecture
- Bank BaaS funding partnerships
⚠️ Risks
- Sudden regulatory policy shifts leading to increased compliance costs
- Competitors replicating API integration solutions
- Transmission of credit risk from partner banks
🏢 Cases
- Haier Xinhaihui deeply cultivates industrial finance, with annual digital RMB service scale exceeding 10 billion RMB
- China Bohai Bank partners with XPeng to build an intelligent automotive supply chain finance ecosystem
📊 SWOT Analysis
Strengths
- Jointly launched with multiple large enterprises and banks, validating the business model
- Equipped with three complete modules: supply chain payments, credit granting, and installment financing
Weaknesses
- Initial high compliance investments required, leading to elevated operational costs
Opportunities
- Continued national easing of regulations on embedded finance, creating increased cross-industry collaboration opportunities
Threats
- Large fintech platforms may capture ecosystem entry points through mergers and acquisitions