Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{185177,
        author = {Dr M K Jayanthi Kannan and Dharan and Jahnavi and Pragnya and Dhruv Sunil and Rudrakshi},
        title = {ShopSmart: An Agentic-AI Powered Budget Optimization and Smart Shopping Assistant for Autonomous Expense Management and Real-Time Cost Efficiency},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {342-351},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185177},
        abstract = {Personal financial management has become increasingly complex due to the rise of e-commerce, digital banking, and impulsive consumer behaviour. Traditional budgeting applications often rely on static expense tracking and fail to adapt to dynamic purchasing contexts, resulting in inefficiencies in financial discipline. This paper introduces ShopSmart, an Agentic-AI-powered budget optimization assistant that autonomously manages expense tracking, provides real-time purchase recommendations, and delivers personalized cost-saving insights. By integrating Agentic AI multi-agent frameworks with quantum-enabled optimization techniques, ShopSmart enables real-time adaptive budget monitoring, autonomous spending categorization, and predictive cost efficiency analysis. The proposed framework leverages transformer-based models for natural language interpretation of purchase data, blockchain for transaction integrity, and quantum-inspired reinforcement learning for large-scale optimization of shopping decisions across multiple vendors and categories. Preliminary experiments show ShopSmart reduces overspending by 28%, improves budget adherence by 35%, and increases personalized savings recommendations accuracy by 30% compared to conventional financial apps. The Shop Smart AI Budget Assistant leverages artificial intelligence to help users efficiently manage their shopping expenses and stay within budget. By automating spending tracking, providing real-time purchase recommendations, and offering cost-saving suggestions, the assistant aims to prevent overspending and optimize purchasing decisions. Integrating with e-commerce and banking platforms, it delivers personalized alerts and insights, ultimately fostering better financial discipline and smarter shopping habits for users.},
        keywords = {Index Terms—Stock Market Prediction, Machine Learning, Real-time Trading, Financial Analytics, Investment Strategies. Agentic-AI Powered Budget Optimization, Smart Shopping Assistant, Autonomous Expense Management, Real-Time Cost-Efficient System.},
        month = {October},
        }