Predictive Analytics in Supply Chain Management using SAP and AI

Moyinuddeen Shaik^1, and Khurram Qumar Siddque²

¹Manager-Business Process Applications, MSA Safety, USA

²SAP Principal Business Process Consultant-Avertra Corp, USA

Cite this paper:
Moyinuddeen Shaik and 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

Abstract

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.

Keywords:
SAP Predictive Analytics IoT Supply Chain Robotics AI Cybersecurity

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