Building a Next‑Gen Intelligent Remittance System: Postal Savings Bank’s Practical Experience

1. Fully Autonomous, Distributed‑Unit Architecture

The new remittance system is developed entirely in‑house using a five‑level modeling approach that treats business logic and application components as reusable "Lego‑style" blocks. This enables rapid mapping of business requirements to functional changes and creates a dynamic enterprise‑level model asset library.

To support billions of customers and massive transaction volumes, the bank built a digital foundation with ten core capabilities, centered on a pioneering distributed‑unit architecture. The system decomposes into independent business service units and shared service units, backed by a micro‑service framework, multi‑center active‑active deployment, strong consistency, and automatic fault detection, delivering 99.99% availability and 24/7 operation.

The "Intelligent Payment Channel Routing Engine" replaces static amount thresholds with a multi‑dimensional decision model that considers channel status, cost, latency, and other dynamic factors. By evaluating these factors in real time, the engine selects the optimal channel, shifting from experience‑based routing to data‑driven optimization, improving customer experience and reducing operational costs.

2. Pursuing Superior Customer Experience and Industry Value

Process re‑engineering, architecture upgrades, and digital transformation reduce manual steps, enhance interaction, and strengthen risk control. The system achieves electronic signatures and paper‑less transactions, cutting processing time to minutes, and automates risk‑list checks, boosting compliance.

Since launch, the platform handles personal and corporate customers with nonstop cross‑border payments. Intelligent routing compresses processing latency from minutes to seconds, while annual transaction volume reaches hundreds of billions with a success rate above 99.99%. Cost‑effective channel selection further raises operational efficiency and commercial value.

Beyond economic benefits, the system supports over 20 business subsystems, delivering a million‑billion‑level transaction scale annually, and provides 24/7 real‑time service that improves cash flow for SMEs and individuals, enhancing financial inclusion.

3. Future Outlook: AI‑Enhanced Smart Remittance Ecosystem

Future work will package routing decisions, cost estimation, and channel monitoring as standardized services callable across the bank, injecting AI "brain" capabilities into rule‑based automation. Large‑model integration will enable the engine to learn from each routing outcome (latency, cost) and continuously refine strategies, while anomaly‑detection algorithms will predict fraud and channel failures.

The bank also plans to expose the intelligent routing capability to trusted third‑party partners in a secure, compliant manner, extending its service boundary and positioning the institution as a critical "financial connector" in the digital economy.