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The AI optimization path for payment gateway operations in the Global Financial Market

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  • Qi, Yue

Abstract

Against the backdrop of the continuous integration and development of global financial markets, payment gateways based on cross-border transactions and local clearing are facing enormous transaction pressure and system operation pressure. However, AI integration now faces core issues such as data pattern fragmentation, scheduling separation, and lack of feedback mechanisms, which suppress the performance of models and the effective operation of systems. This article focuses on the bottleneck of AI optimization in the operation process of payment networks, and proposes three strategies: data modeling, system coordination, and loop feedback to optimize the model. By establishing a standardized data architecture, adding intelligent workflow management and real-time feedback loops in the system, we ensure the effective implementation of AI models in payment networks and promote the intelligent upgrade of global financial market payment systems.

Suggested Citation

  • Qi, Yue, 2026. "The AI optimization path for payment gateway operations in the Global Financial Market," Financial Economics Insights, Scientific Open Access Publishing, vol. 3(1), pages 67-73.
    • Handle: RePEc:axf:feiaaa:v:3:y:2026:i:1:p:67-73
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