Leveraging Oracle Digital Assistant (ODA) to Automate ERP Transactions and Improve User Productivity
Partha Sarathi Reddy Pedda Muntala, Nagireddy Karri · International Journal of Artificial Intelligence Data Science and Machine Learning · 2022
The increasing complexity and volume of enterprise resource planning (ERP) operations in modern businesses demand smarter, more intuitive, and automated interfaces for routine tasks such as purchase requisitions, leave requests, and invoice queries. Oracle Digital Assistant (ODA), a conversational AI platform, has emerged as a powerful solution to address this challenge. This paper presents a detailed exploration of the integration and deployment of ODA in automating ERP transactions, with a focus on improving user productivity and operational efficiency. By leveraging natural language processing (NLP), machine learning (ML), and prebuilt enterprise skills, ODA significantly streamlines the interaction between users and ERP systems. This study examines the technical architecture, implementation methodology, integration strategies, and real-world use cases of ODA in Oracle ERP Cloud environments. Through performance metrics, case studies, and user feedback, we demonstrate how ODA reduces transactional overhead, minimizes errors, and enhances the overall user experience. The paper further discusses the challenges, best practices, and future directions for ODA-based ERP automation