Cross-Border Payment Optimization Using Artificial Intelligence for Global Finance
Abstract
Cross-border payment systems are essential for global trade and international financial transactions; however, traditional infrastructures face challenges such as high transaction fees, long settlement times, and lack of transparency. This paper presents an Artificial Intelligence-based framework for optimizing cross-border payments using anomaly detection and fee optimization. The Isolation Forest algorithm identifies abnormal transactions, while percentile-based analysis recommends fair transaction fees. A Flask-based dashboard provides real-time insights.
Fields of Study & Subjects
Digital Transformation in Financial Services
Blockchain Technology Applications and Security
Imbalanced Data Classification Techniques
Publication details
- Journal / source
- Iconic Research and Engineering Journals
- Volume
- 9
- Issue
- 7
- Publication date
- 2 February 2026
- Language
- EN