Cross-Border Payment Optimization Using Artificial Intelligence for Global Finance

• Author(s): Arockia Bruno V; Priya E; Prathisa K; Kamalesh S; Vishnu Sekhar
• Paper ID: 1713405
• Page: 2478-2479
• Published Date: 02-02-2026
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 7 January-2026

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.

Keywords

Cross-border payments, Artificial Intelligence, Anomaly Detection, Isolation Forest, Fee Optimization

Citations

IRE Journals:
Arockia Bruno V, Priya E, Prathisa K, Kamalesh S, Vishnu Sekhar "Cross-Border Payment Optimization Using Artificial Intelligence for Global Finance" Iconic Research And Engineering Journals Volume 9 Issue 7 2026 Page 2478-2479 https://doi.org/10.64388/IREV9I7-1713405

IEEE:
Arockia Bruno V, Priya E, Prathisa K, Kamalesh S, Vishnu Sekhar "Cross-Border Payment Optimization Using Artificial Intelligence for Global Finance" Iconic Research And Engineering Journals, 9(7) https://doi.org/10.64388/IREV9I7-1713405