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AI-driven Strategies for Optimizing Cloud-based Inventory and SAP Systems (KEY IJW**********730)

• Vamsee Krishna Ravi, Sridhar Jampani, Sunil Gudavalli, Dr. Priya Pandey, Dr S P Singh, Prof. (dr) Punit Goel

Abstract

In the rapidly evolving landscape of inventory management and enterprise resource planning (ERP), the integration of artificial intelligence (AI) within cloud-based systems, particularly SAP, offers transformative potential. This research explores AI-driven strategies designed to optimize inventory processes and enhance the efficiency of SAP systems. By leveraging machine learning algorithms, predictive analytics, and real-time data processing, organizations can achieve superior inventory accuracy, reduce carrying costs, and improve demand forecasting. The study highlights the role of AI in automating routine tasks, thereby allowing personnel to focus on strategic decision-making. Furthermore, it emphasizes the importance of seamless data integration across cloud platforms, which facilitates enhanced visibility and agility in inventory management.