Gunjo · Business Intelligence for the AI Era
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Haier Xinhaihui Digital RMB Industrial Finance

1) Interest rate spreads from supply chain financing; 2) Digital RMB settlement service fees, charged per seat or per ac

MODEL

Key Fields

FIELD STAMPS
IndustryFintech
RegionChina
ScaleGiant
ChannelHybrid

📌 Background

As the Digital RMB pilot program continues to expand in 2026, industrial finance is accelerating toward scenario-based and embedded models. Haier's subsidiary, Xinhaihui, has deeply cultivated industrial finance by embedding Digital RMB payment and settlement into supply chain scenarios. With an annual service volume exceeding 10 billion RMB, it has become a prime example of finance embedded within an industrial ecosystem. The core of financial supply remains risk control and cost of capital; the authenticity and timeliness of data dimensions determine risk pricing capabilities, while the boundaries of licensing compliance and the depth of scenario integration are critical. Please refer to company financial reports and official disclosures for operating data; figures provided by merchants have not been independently verified.

👤 Target Customers

Upstream and downstream enterprises in the Haier supply chain, as well as SMEs and distributors within the ecosystem. The paying parties are corporate clients with financing and efficient settlement needs. Business volume depends on the scale of formally signed credit and settlement agreements, as well as renewal rates upon maturity. The frequency of initial financing and subsequent reuse is the true indicator of market scale (signed scale remains unverified).

💰 Revenue Streams

1) Interest rate spreads from supply chain financing; 2) Digital RMB settlement service fees, charged per seat or per actual settlement transaction; 3) Revenue from scenario-based financial solution projects, settled according to project contract amounts; 4) Industry replication: exporting proven solutions to similar clients and charging for replication and training services (an opportunity-based item; actual revenue from this stream has not yet been disclosed).

🧮 Cost Structure

Technical system construction and AI risk control R&D, cost of capital, and expenses for industrial-side expansion and operations teams. Fixed costs that are difficult to reduce include risk modeling personnel and system infrastructure. Costs that fluctuate with business volume include industrial-side customer acquisition and capital turnover costs; unit costs will decrease as settlement volume increases.

🛡️ Moat

Leveraging the closed-loop supply chain data of the Haier industrial ecosystem, combined with a first-mover advantage in Digital RMB scenarios, it forms a synergy barrier between industry and finance, representing a data-driven moat.

🔑 Keys to Success

  • Binding to core enterprise ecosystems
  • Cost reduction and efficiency improvement through Digital RMB settlement
  • Continuous iteration of risk control models

⚠️ Risks

  • Industrial cycle fluctuations affecting asset quality, and uncertainty regarding the pace of Digital RMB policy implementation

🏢 Cases

  • Haier Xinhaihui's annual Digital RMB service volume exceeds 10 billion RMB

📊 SWOT Analysis

Strengths

  • Backed by the Haier industrial ecosystem with authentic scenarios, closed-loop data, and a leading scale in Digital RMB application

Weaknesses

  • Business is highly dependent on the Haier system; expanding into external industrial scenarios requires time

Opportunities

  • Continued policy support for Digital RMB and significant room for increased penetration in supply chain finance

Threats

  • Competitive pressure from banks' self-built supply chain finance platforms and the downward expansion of internet banks