Transforming Payment Processes: A Discussion of AI-Enabled Routing Optimization

Srinivasa Rao Burri, Abhishek Kumar, Anupam Baliyan, T. Kumar
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引用次数: 1

Abstract

The utilization of Artificial Intelligence (AI)-enabled software and hardware is expected to enhance the effectiveness of monetary exchanges, which is the main objective of this research. Since transaction costs are based on the actual amount being transferred, customers feel more at ease making purchases using this approach. This work aims to investigate the role of financial systems in effective corporate administration, with a particular emphasis on gateways as key components of these systems. This study investigates the factors (price, procedures, risk assessments, etc.) that influence the connecting of merchant identities across several channels in a digital payment system. When multiple endpoints are connected to a central hub, they are referred to as a ‘‘terminal.’’ The study shows that utilizing AI-enabled software and hardware can reduce transaction costs and increase consumer confidence in purchasing decisions. This research can potentially improve financial systems for businesses and consumers by identifying the most effective applications of AI in this sector.
改变支付流程:人工智能路由优化的讨论
利用人工智能(AI)支持的软件和硬件有望提高货币交换的有效性,这是本研究的主要目标。由于交易成本是以实际转移的金额为基础的,因此使用这种方法,顾客在购买时感到更放心。这项工作的目的是调查金融系统在有效的公司管理中的作用,特别强调网关作为这些系统的关键组成部分。本研究调查了影响数字支付系统中多个渠道商家身份连接的因素(价格、程序、风险评估等)。当多个端点连接到一个中心集线器时,它们被称为“终端”。“研究表明,利用人工智能软件和硬件可以降低交易成本,提高消费者购买决策的信心。这项研究可以通过确定人工智能在该领域最有效的应用,潜在地改善企业和消费者的金融体系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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