Automation of Procurement Processes in Oracle ERP Using AI

Abstract

AI-powered automation in procurement systems has emerged as a transformative force in streamlining and optimizing supply chain management. Oracle ERP, with its integrated suite of applications, offers a robust framework for implementing AI-powered automation in procurement processes, driving efficiency, accuracy, and cost savings across organizations. This research paper explores the key aspects of integrating artificial intelligence into Oracle ERP’s procurement systems and the benefits it brings to modern enterprises. The procurement function is fundamental to an organization’s operational success, influencing everything from cost management to supplier relationships and inventory control. Traditional procurement processes, while effective, can be slow, prone to human error, and difficult to scale as business needs evolve. The adoption of AI-powered automation promises to revolutionize procurement by enhancing decision-making, improving operational efficiency, and providing real-time insights into procurement performance. This paper delves into the integration of AI technologies such as machine learning, natural language processing (NLP), and robotic process automation (RPA) within Oracle ERP procurement modules, which include sourcing, supplier management, purchase order processing, and invoicing.