Real-Time AI-Based Inventory Optimization for SAP Solutions in Large Enterprises

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Authors: Maria Gonzalez
Cited by: 0

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