Supply Chain Optimization Using AI and SAP HANA: A Review

Authors

  • Amol Kulkarni

Keywords:

Supply Chain Optimization, Artificial Intelligence (AI), SAP HANA, Data-driven Decision-making, Real-time Analytics

Abstract

In today's dynamic business environment, optimizing supply chain operations has become imperative for organizations to stay competitive and meet customer demands efficiently. This review explores the integration of Artificial Intelligence (AI) and SAP HANA in supply chain management to enhance efficiency, agility, and responsiveness. The paper begins by discussing the foundational concepts of supply chain optimization and the challenges faced by traditional approaches. It then delves into the role of AI in transforming supply chain management, highlighting its applications such as demand forecasting, inventory management, route optimization, and predictive maintenance

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Published

2023-08-10

How to Cite

Amol Kulkarni. (2023). Supply Chain Optimization Using AI and SAP HANA: A Review. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 2(2), 51–57. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/81