Real-Time AI-Based Inventory Optimization for SAP Solutions in Large Enterprises
Abstract
Real-time AI-based inventory optimization is transforming large enterprises by enhancing efficiency, reducing costs, and meeting customer demands effectively. SAP solutions provide a robust platform for implementing AI-driven inventory management, enabling organizations to make data-driven decisions quickly. This study explores the integration of AI with SAP for inventory optimization, highlighting benefits such as real-time demand forecasting, automated replenishment, and inventory reduction. Leveraging predictive analytics, machine learning models, and IoT data, the AI-based approach aligns inventory levels with actual demand patterns, optimizing stock levels and minimizing wastage. The research discusses methodologies, tools, and implementation strategies, and analyzes real-world results from large enterprises to present a comprehensive view of the impact and potential of real-time AI-based inventory optimization in SAP environments.
Fields of Study & Subjects
Forecasting Techniques and Applications
Big Data and Business Intelligence
Internet of Things and AI
Publication details
- Journal / source
- Journal of Quantum Science and Technology.
- Volume
- 3
- Issue
- 1
- Publication date
- 4 January 2026