AI-Enhanced Payment SDKs
DOI:
https://doi.org/10.15662/IJRAI.2024.0704004Keywords:
Artificial Intelligence, Payment SDK, FinTech, Fraud Detection, Predictive Analytics, Digital TransactionsAbstract
In the evolving landscape of digital finance, AI-enhanced Payment Software Development Kits (SDKs) have emerged as a pivotal innovation driving secure, seamless, and intelligent transaction processing. These SDKs integrate machine learning algorithms, natural language processing, and predictive analytics to improve fraud detection, risk management, and customer experience in both online and mobile payment systems. By leveraging real-time data analysis and behavioral pattern recognition, AI-powered payment SDKs can identify anomalies, authenticate users dynamically, and optimize transaction routing for cost efficiency and speed. Furthermore, the integration of AI-driven chatbots and recommendation systems within payment platforms enhances user engagement and personalization. This paper examines the architecture, functionality, and applications of AI-enhanced Payment SDKs, with emphasis on their role in advancing financial technology (FinTech) ecosystems and promoting financial inclusion in emerging economies. Challenges related to data privacy, model interpretability, and regulatory compliance are also explored, alongside future research directions focusing on federated learning, edge AI, and blockchain integration for next-generation payment infrastructures.
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