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Linklogis: AI-Driven SaaS Transformation and Global Expansion Platform for Supply Chain Finance

1) SaaS service fees based on transaction volume or asset-based profit sharing; 2) Annual/modular subscription fees from

MODEL

Key Fields

FIELD STAMPS

IndustryFintech

RegionMulti-region

ScaleMid-size

ChannelOnline

📌 Background

Linklogis (9959.HK), a leading domestic supply chain finance technology provider, has surpassed 500 billion RMB in cumulative transaction volume, though domestic growth is decelerating. In 2026, the company shifted its focus toward integrating large models and AI to transform supply chain finance workflows, while exporting its supply chain finance infrastructure as a SaaS solution to emerging markets in Southeast Asia and the Middle East, pivoting to a new narrative of 'from supply chain finance to global trade infrastructure.'

👤 Target Customers

Commercial banks and city commercial banks; core enterprises and their upstream/downstream SME suppliers; cross-border trade service platforms and overseas local financial institutions.

💰 Revenue Streams

1) SaaS service fees based on transaction volume or asset-based profit sharing; 2) Annual/modular subscription fees from banking clients; 3) Fees for customized cross-border delivery projects.

🧮 Cost Structure

Computing power costs for large model training and inference; labor costs for R&D and cross-border implementation; costs for overseas compliance, licensing, and localized operations.

🛡️ Moat

Risk control data and business process templates accumulated from a 500 billion RMB transaction scale; high switching costs and multi-module integration stickiness for banking clients; a composite technology stack of 'supply chain finance + AI + cross-border trade infrastructure.'

🔑 Keys to Success

Deep integration of AI technology with supply chain finance business processes
Modular SaaS for banks and cross-border localization delivery capabilities
Pacing control for overseas financial infrastructure deployment and regulatory adaptation

⚠️ Risks

Prolonged overseas expansion cycles leading to sustained losses
Budget cuts and price wars among domestic banking clients
Erosion of gross margins due to AI inference computing costs

🏢 Cases

Linklogis (9959.HK)
JD Technology Supply Chain Finance Micro-factoring
Haier Xinhaihui Digital RMB Industrial Finance

📊 SWOT Analysis

Strengths

Leader in domestic supply chain finance technology with over 500 billion RMB in processed volume
Publicly listed on the HKEX, providing capital and brand endorsement for overseas expansion
AI and large model integration to optimize business processes, improving delivery efficiency and marginal costs

Weaknesses

Slowing domestic business growth, leading to long-term valuation pressure
Overseas markets are in the investment phase with long cycles for scaling and profitability
High dependency on large banking clients, limiting bargaining power

Opportunities

Digitalization gaps in supply chain finance across Southeast Asia and the Middle East
AI large models reducing customization costs for small and medium-sized banks
Expansion into cross-border trade infrastructure and digital asset scenarios

Threats

Competition from traditional financial IT vendors and internet giants entering the supply chain finance SaaS space
Uncertainties regarding overseas regulations and cross-border data compliance
R&D and computing cost pressures driven by rapid AI technology iteration

Sources