International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Cloud-Based Data-Driven Insights: Powering Supply Chain Efficiency

Author(s) Satish Anchuri
Country United States
Abstract This comprehensive article examines the transformative impact of cloud computing and data analytics on modern supply chain operations, focusing on implementation strategies, challenges, and emerging technologies. Through analysis of extensive research data encompassing multiple organizations across various countries, the article reveals that organizations implementing cloud-based analytics solutions achieve significant improvements in operational efficiency and substantial cost reductions. The article investigates key components, including cloud computing infrastructure, data-driven decision-making frameworks, and the integration of emerging technologies such as AI and IoT. A detailed case study of a major retail corporation demonstrates practical applications, achieving remarkable stock availability improvements and transportation cost reduction through advanced analytics implementation. The article also addresses critical implementation challenges and best practices, finding that organizations with structured data governance frameworks achieve considerably higher success rates in digital transformation initiatives. The findings provide valuable insights for organizations seeking to enhance their supply chain operations through digital transformation.
Keywords Keywords: Cloud Computing Integration, Supply Chain Analytics, Data-Driven Decision Making, Digital Transformation, Emerging Technologies (AI/IoT)
Field Computer
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-21
Cite This Cloud-Based Data-Driven Insights: Powering Supply Chain Efficiency - Satish Anchuri - IJFMR Volume 6, Issue 6, November-December 2024.
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E-ISSN 2582-2160
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