INTELLIGENT PAYMENT ORCHESTRATION PLATFORMS: ASSESSING METRICS FOR EFFICIENCY, SCALABILITY, AND SYSTEM INTEROPERABILITY

Authors

  • Alok Yadav Department of Computer Engineering, Gautam Buddha University, Greater Noida - 201310, Uttar Pradesh, India

Abstract

Artificial intelligence (AI)-enabled payment orchestration platforms are reshaping the global payments industry by facilitating the optimization and streamlining of payment processes. These advanced solutions contribute to greater operational efficiency, superior customer experiences, and higher revenue generation. This study delves into the core performance metrics, scalability requirements, and interoperability issues linked to AI-powered payment orchestration platforms. By addressing these pivotal dimensions, the analysis offers critical insights for businesses aiming to harness these transformative technologies and remain competitive in the rapidly evolving digital payments environment.

Author Biography

Alok Yadav, Department of Computer Engineering, Gautam Buddha University, Greater Noida - 201310, Uttar Pradesh, India

Alok Yadav, Department of Computer Engineering, Gautam Buddha University, Greater Noida -
201310, Uttar Pradesh, India

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Published

12-10-2019

How to Cite

Yadav, A. (2019). INTELLIGENT PAYMENT ORCHESTRATION PLATFORMS: ASSESSING METRICS FOR EFFICIENCY, SCALABILITY, AND SYSTEM INTEROPERABILITY. Reviews of Contemporary Business Analytics, 2(1), 71–80. Retrieved from https://researchberg.com/index.php/rcba/article/view/190

Issue

Vol. 2 No. 1 (2019): Reviews of Contemporary Business Analytics-2019

Section

Research Articles

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