International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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A Smart Framework using an AI-based Multi-Agent System for Optimizing ROI

Author(s) Dr. Deeplakshmi Sachin Zingade, Ms. Mansi Dipak Marathe, Ms. Bhumika Kishan Rawate, Mr. Chaitanya Moreshwar Madavi
Country India
Abstract In today’s rapidly evolving digital economy, organizations face increasing challenges in maximizing their return on investment (ROI) while maintaining cost efficiency and opoptimal resource utilization. This study proposes a smart, AI
driven multi-agent framework that enables ROI optimization through intelligent decision-making, adaptive learning, and dy namic resource management. The framework integrates multiple autonomous agents that interact and cooperate to evaluate financial data, predict investment trends, and generate cost efficient strategic recommendations. By using machine learning techniques and predictive analytics, the system enhances the accuracy of ROI predictions and supports proactive identification of risks and growth opportunities. The multi-agent architecture provides scalability, flexibility, and robustness, making it suitable for deployment across complex and distributed domains, including enterprises, data centers, and smart industrial ecosystems.Experimental analysis demonstrates that the proposed frame work achieves superior ROI optimization compared to traditional methods, offering an efficient, intelligent, and sustainable
approach for modern business environments.
Keywords ROI Optimization, Multi-Agent System, Autonomous Agents, Dynamic Decision Making, Financial Forecasting, Explainable AI
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 8, Issue 1, January-February 2026
Published On 2026-01-23
DOI https://doi.org/10.36948/ijfmr.2026.v08i01.60757
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