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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

AI-driven payment systems: From innovation to market success

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  • AI-driven payment systems: From innovation to market success

Merve Ozkurt Bas *

Enterprise Payments, American Express, New York, USA.

Review Article

International Journal of Science and Research Archive, 2025, 14(03), 656-659

Article DOI: 10.30574/ijsra.2025.14.3.0709

DOI url: https://doi.org/10.30574/ijsra.2025.14.3.0709

Received on 04 February 2025; revised on 11 March 20215 accepted on 13 March 2025

Artificial Intelligence (AI) is revolutionizing payment systems by enhancing security, streamlining operations, and providing personalized customer experiences. From ideation to go-to-market, AI-driven innovations are transforming how financial institutions, fintech firms, and businesses optimize payment processes. AI improves fraud detection, automates transaction processing, and personalizes financial services, leading to higher efficiency and enhanced user experience. This review article explores practical use cases of AI in payment systems and its impact on the product management lifecycle.

AI in payments; Fraud detection; Automated transactions; Predictive analytics; Personalized finance; AI-driven marketing; Fintech innovation

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2025-0709.pdf

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Merve Ozkurt Bas. AI-driven payment systems: From innovation to market success. International Journal of Science and Research Archive, 2025, 14(03), 656-659. Article DOI: https://doi.org/10.30574/ijsra.2025.14.3.0709.

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

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