Abstract

This research paper investigates the integration of Artificial Intelligence (AI) and Robotic Process Automation (RPA) into Enterprise Resource Planning (ERP) systems, examining their role in enhancing business operations and decision-making processes. The study seeks to answer the research question: How do AI and RPA technologies affect the efficiency, effectiveness, and strategic decisions of businesses leveraging ERP systems? The research combines qualitative and quantitative methods, utilizing interviews with industry experts, IT managers, and case studies of enterprises that have adopted AI and RPA technologies within their ERP frameworks. Key findings indicate that AI and RPA significantly streamline business operations by automating routine tasks, enhancing data analysis, and improving decision-making. Companies reported up to a 40% reduction in manual processing time, with substantial cost savings of up to 25%. Additionally, AI's predictive capabilities were shown to improve demand forecasting, inventory management, and supply chain optimization. Despite these benefits, the research also highlights challenges such as integration complexities, data privacy concerns, and employee resistance to automation. Notably, businesses that implemented AI and RPA successfully saw improvements in employee productivity, as routine tasks were automated, enabling workers to focus on higher-value tasks. This research contributes to the growing body of knowledge on digital transformation in business operations and emphasizes the importance of careful planning, risk management, and employee training to ensure the successful adoption of these transformative technologies. The study underscores the transformative potential of AI and RPA in optimizing ERP systems and driving business innovation.