Innovations in payment automation within cloud computing: Critical analysis of applications, benefits, and limitations

Onteddu, Koti Reddy (2025) Innovations in payment automation within cloud computing: Critical analysis of applications, benefits, and limitations. World Journal of Advanced Engineering Technology and Sciences, 15 (3). 083-098. ISSN 2582-8266

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Abstract

This article provides a comprehensive analysis of payment automation innovations within cloud computing environments, examining diverse technological approaches and their implications for organizational efficiency, security, and competitive advantage. The article explores five key technology domains transforming payment operations: artificial intelligence integration with enterprise resource planning systems, serverless computing architectures for payment gateway design, blockchain implementations for enhanced security and transparency, machine learning applications in reconciliation processes, and subscription management platforms for recurring billing models. For each domain, the article examines technological architectures, operational benefits, and implementation challenges, while addressing cross-cutting concerns including regulatory compliance, integration complexity, and return on investment considerations. The article reveals that successful payment automation initiatives require strategic alignment between technological capabilities and organizational objectives, with careful attention to security frameworks, data standardization, and process optimization. The article suggests that payment automation represents more than operational efficiency—it enables fundamental business model transformation through improved cash flow management, enhanced customer experiences, and more responsive financial operations. As these technologies continue to evolve, organizations must develop flexible implementation approaches that accommodate emerging capabilities while maintaining robust security and compliance controls. This article provides a foundation for strategic decision-making regarding payment automation investments and identifies promising directions for future research and development.

Item Type: Article
Official URL: https://doi.org/10.30574/wjaets.2025.15.3.0916
Uncontrolled Keywords: Cloud Payment Automation; Machine Learning Reconciliation; Serverless Payment Gateways; Blockchain Transaction Security; Subscription Billing Management
Depositing User: Editor Engineering Section
Date Deposited: 16 Aug 2025 12:41
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URI: https://eprint.scholarsrepository.com/id/eprint/4364