Transforming Digital Supply Chains: AI/ML Integration in SAP Cloud for Predictive Optimization

Authors

  • Hemanth Volikatla Independent Researcher, USA
  • Dedeepya Sai Gondi CTO/Director, Artificial Intelligence and Machine Learning Company, USA
  • Vamsi Krishna Reddy Bandaru Data Science Advisor, Artificial Intelligence and Machine Learning Company, USA
  • Veera Venkata Raghunath Indugu Engineer 1, Data Science and Cloud Technologies Company, USA
  • Jubin Thomas Independent Researcher Media, USA

Abstract

The advent of Artificial Intelligence (AI) and Machine Learning (ML) has revolutionized the management of digital supply chains, offering unprecedented opportunities for predictive optimization. This paper explores the transformative impact of integrating AI/ML technologies within SAP Cloud environments to enhance supply chain efficiency and responsiveness. By leveraging the advanced capabilities of SAP Cloud’s AI/ML frameworks, organizations can achieve real-time data analytics, predictive forecasting, and automated decision-making processes. This integration facilitates the proactive management of supply chain variables, including inventory levels, demand fluctuations, and supplier performance. Through a comprehensive analysis of case studies and implementation strategies, the paper demonstrates how AI/ML-driven insights lead to optimized operations, reduced costs, and improved agility in digital supply chains. The findings underscore the significant potential of AI/ML integration in SAP Cloud to drive innovation and competitive advantage in the evolving landscape of supply chain management.

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Published

2022-11-14

How to Cite

Volikatla, H., Gondi, D. S., Bandaru, V. K. R., Indugu, V. V. R., & Thomas, J. (2022). Transforming Digital Supply Chains: AI/ML Integration in SAP Cloud for Predictive Optimization. MZ Computing Journal, 3(2). Retrieved from http://mzresearch.com/index.php/MZCJ/article/view/308

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