LEVERAGING GENERATIVE AI FOR PERSONALIZED OFFERS IN DIGITAL PAYMENTS: A TECHNICAL OVERVIEW

Authors

  • Harsh Singh IIT, Kharagpur, India Author

Keywords:

Generative AI, Payment Systems, Real-time Processing, Financial Technology, System Integration

Abstract

This technical article examines the transformative impact of Generative Artificial Intelligence (Gen AI) in digital payment systems, focusing on personalized offer delivery and customer engagement. With its ability to deliver real-time, tailored experiences, Gen AI improves operational efficiency, security, and scalability in financial technology. The article explores technical architecture, critical components, and challenges of integrating Gen AI into digital payments, highlighting emerging trends and future opportunities for innovation. The article investigates sophisticated data collection mechanisms, AI processing engines, and personalization frameworks while addressing key scalability considerations and performance optimization techniques. The article analyzes implementation challenges and solutions, providing insights into data quality management, model training optimization, and system integration strategies, while emphasizing the importance of advanced security frameworks and adaptable infrastructure in the evolving landscape of AI-driven payment systems.

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Published

2025-02-14

How to Cite

Harsh Singh. (2025). LEVERAGING GENERATIVE AI FOR PERSONALIZED OFFERS IN DIGITAL PAYMENTS: A TECHNICAL OVERVIEW. INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY (IJRCAIT), 8(1), 2498-2511. https://ijrcait.com/index.php/home/article/view/IJRCAIT_08_01_181