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.

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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
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article

AI and Deep Learning Approaches in SAP Demand Planning: Methods and Applications

Anirban Chakraborty
American Journal of Intelligent Systems
Blockchain Technology Applications and Security
article

AI and Deep Learning Approaches in SAP Demand Planning: Methods and Applications

Anirban Chakraborty
article en

Abstract

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.

American Journal of Intelligent SystemsVol. 14(1)
STMicroelectronics (United States) (US)
Openalex Percentile: Top 72%
Blockchain Technology Applications and Security
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AI and Deep Learning Approaches in SAP Demand Planning: Methods and Applications — Anirban Chakraborty · American Journal of Intelligent Systems (2025) | TGRS Research Map | TGRS