1Manager-Business Process Applications, MSA Safety, USA
2SAP Principal Business Process Consultant-Avertra Corp, USA
Journal of Computer Sciences and Applications.
2023,
Vol. 11 No. 1, 1-6
DOI: 10.12691/jcsa-11-1-1
Copyright © 2023 Science and Education PublishingCite this paper: Moyinuddeen Shaik, Khurram Qumar Siddque. Predictive Analytics in Supply Chain Management using SAP and AI.
Journal of Computer Sciences and Applications. 2023; 11(1):1-6. doi: 10.12691/jcsa-11-1-1.
Correspondence to: Moyinuddeen Shaik, Manager-Business Process Applications, MSA Safety, USA. Email:
shaik.moyin@gmail.comAbstract
In the ever-evolving landscape of supply chain management, the convergence of Predictive Analytics, SAP, and Artificial Intelligence (AI) stands as a transformative force. This article embarks on a comprehensive exploration of the integration of Predictive Analytics within SAP systems bolstered by AI capabilities. With a focus on real-world applications, benefits, challenges, and prospects, this article provides a detailed roadmap for organizations aiming to harness the full potential of predictive analytics in optimizing supply chain processes.
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