AI and Deep Learning Approaches in SAP Demand Planning: Methods and Applications
In the context of modern enterprise resource planning (ERP) systems, SAP (Systems, Applications, and Products) has become a cornerstone platform that helps businesses optimize various aspects of their operations, including demand planning. The integration of Artificial Intelligence (AI) and Deep Learning (DL) into SAP systems provides organizations with advanced tools to improve the accuracy of demand forecasts, manage inventory, and enhance overall supply chain efficiency. This paper examines the different AI and deep learning methods used in SAP demand planning, discussing the role of predictive analytics, machine learning, and deep learning models in optimizing demand forecasting and planning processes. Furthermore, the paper evaluates the practical applications, benefits, and challenges of leveraging AI and DL within the SAP ecosystem for demand planning.
Authors
- Anirban Chakraborty (ORCID: https://orcid.org/0000-0001-7425-6664)
Institutions
- STMicroelectronics (United States) (US)
Publication Details
- Journal
- American Journal of Intelligent Systems
- Published
- 2025-05-05
- DOI
- https://doi.org/10.5923/j.ajis.20251401.01
- Primary Topic
- Blockchain Technology Applications and Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00