INVESTIGATING THE INTEGRATION OF ARTIFICIAL INTELLIGENCE IN ENHANCING EFFICIENCY OF DISTRIBUTED ORDER MANAGEMENT SYSTEMS WITHIN SAP ENVIRONMENTS

Abstract

The increasing complexity of supply chain operations has driven the adoption of advanced technologies to streamline and optimize processes. Distributed Order Management (DOM) systems are pivotal in ensuring efficient order processing and fulfillment in decentralized supply chain networks. This research paper investigates the integration of Artificial Intelligence (AI) into Distributed Order Management systems within SAP environments, focusing on the enhancement of efficiency and performance. Through using AI capabilities such as machine learning, predictive analytics, and automation, organizations can significantly improve order accuracy, reduce processing times, and adapt to dynamic market demands. The study analyzes the technical underpinnings of AI, exploring how specific AI technologies can be applied to various aspects of DOM systems. The paper also examines the current state of DOM systems within SAP environments, identifies key AI technologies applicable to DOM, and analyzes the impact of AI integration on the efficiency of these systems. Moreover, the research addresses the challenges associated with AI implementation and proposes best practices for successfully integrating AI into SAP-driven DOM environments. This analysis aims to provide understandings for organizations seeking to apply AI to enhance their DOM capabilities and achieve a competitive edge in the increasingly fast-paced area of global supply chains.