AI-Enhanced SAP Digital Twins: Machine Learning for Real-Time Monitoring and Supply Chain Simulation
DOI:
https://doi.org/10.15662/85qsdd35Keywords:
AI, Machine Learning, Digital Twins, SAP, Supply Chain Simulation, Real-Time Monitoring, Predictive Analytics, Supply Chain Management, IoT Integration, Risk ManagementAbstract
The advent of AI-enhanced digital twins integrated within SAP systems is revolutionizing real-time supply chain monitoring and simulation. Digital twins, virtual replicas of physical assets or processes, leverage machine learning (ML) algorithms to provide dynamic, data-driven insights that enable proactive decision-making and enhanced operational efficiency. This paper explores the development and implementation of AI-driven digital twins within SAP environments to simulate supply chain processes, monitor key performance indicators in real-time, and predict disruptions before they occur. Through continuous data collection from IoT devices, ERP modules, and external sources, machine learning models analyze patterns and anomalies, enabling predictive maintenance, demand forecasting, and risk mitigation.
The integration of AI with SAP digital twins facilitates complex scenario simulations, allowing businesses to test and optimize supply chain strategies under various conditions without impacting actual operations. By providing a holistic and up-to-date view of the supply chain, this approach enhances transparency, agility, and resilience. The study reviews current methodologies, technologies, and applications of AI-enhanced SAP digital twins, highlighting case studies demonstrating significant improvements in supply chain performance and risk management
Furthermore, the research identifies key challenges such as data integration complexity, computational demands, and the need for cross-functional collaboration. Recommendations for overcoming these obstacles and future research directions are provided to maximize the benefits of AI-enhanced digital twins. This paper contributes to the growing body of knowledge on smart supply chain management, emphasizing how AI-powered digital twins within SAP ecosystems can transform traditional supply chain operations into intelligent, adaptive systems.
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