Harnessing Predictive Analytics: Transforming Payment Behavior in the Digital Age

This paper delves into the transformative potential of predictive analytics, powered by artificial intelligence (AI), in forecasting payment behavior within the digital payment’s ecosystem. Predictive analytics, using machine learning models, analyzes historical payment data, identifies patterns, and anticipates future consumer actions. Financial institutions leverage these insights to enhance payment processes, improve fraud detection, reduce payment defaults, and offer personalized services. The study also examines a case where AI-driven analytics successfully reduced late payments and improved customer satisfaction. Ethical challenges such as data privacy, model bias, and regulatory compliance are addressed. The findings underscore the significant role of predictive analytics in optimizing digital payment systems and enhancing the overall customer experience, paving the way for a more seamless and satisfying digital payment journey.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2024-11-19
DOI
https://doi.org/10.36948/ijfmr.2024.v06i06.31019
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
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article

Harnessing Predictive Analytics: Transforming Payment Behavior in the Digital Age

Kumar Shanmugasamy -
International Journal For Multidisciplinary Research
FinTech, Crowdfunding, Digital Finance
article

Harnessing Predictive Analytics: Transforming Payment Behavior in the Digital Age

Kumar Shanmugasamy -
article en

Abstract

This paper delves into the transformative potential of predictive analytics, powered by artificial intelligence (AI), in forecasting payment behavior within the digital payment’s ecosystem. Predictive analytics, using machine learning models, analyzes historical payment data, identifies patterns, and anticipates future consumer actions. Financial institutions leverage these insights to enhance payment processes, improve fraud detection, reduce payment defaults, and offer personalized services. The study also examines a case where AI-driven analytics successfully reduced late payments and improved customer satisfaction. Ethical challenges such as data privacy, model bias, and regulatory compliance are addressed. The findings underscore the significant role of predictive analytics in optimizing digital payment systems and enhancing the overall customer experience, paving the way for a more seamless and satisfying digital payment journey.

International Journal For Multidisciplinary ResearchVol. 6(6)
Openalex Percentile: Top 49%
FinTech, Crowdfunding, Digital Finance
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Harnessing Predictive Analytics: Transforming Payment Behavior in the Digital Age — Kumar Shanmugasamy - · International Journal For Multidisciplinary Research (2024) | TGRS Research Map | TGRS