The Role of AI Features in E-Wallet Applications for Enhancing Personal Financial Tracking

Abstract

This study aims to examine the contribution of AI-driven features in e-wallet applications in
helping users plan, monitor, and evaluate their financial conditions. A qualitative approach was
used by combining a comprehensive literature review and thematic analysis to explore user
perceptions, perceived benefits, and common barriers. The analysis identified key patterns
emerging from the review. The findings show that features such as automatic expense
categorization, budget alerts, and monthly analytics reports significantly enhance financial
awareness, reduce impulsive spending, and promote data-driven decision-making. These
features help users manage their finances more sustainably and effectively. Theoretical and
practical implications suggest that intelligent system design can increase user engagement and
financial literacy. Policymakers and developers are encouraged to integrate adaptive AI tools
into e-wallets. The novelty of this study lies in highlighting how specific AI features transform
daily financial tracking, compared to previous research that mainly focused on payment
convenience.