International Journal on Science and Technology

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Optimizing Supply Chain Visibility with Cloud-Based Platforms and AI

Author(s) Vivek Prasanna Prabu
Country United States
Abstract Supply chain visibility (SCV) has become a cornerstone of efficient logistics and resilient operations. With global trade complexities, volatile demand, and increasing customer expectations, businesses require advanced tools to monitor, analyze, and optimize their end-to-end supply chains. Cloud-based platforms and artificial intelligence (AI) are revolutionizing SCV by enabling real-time data sharing, predictive insights, and dynamic decision-making across stakeholders. This white paper explores how cloud computing combined with AI transforms supply chain operations through enhanced transparency, collaboration, and automation. We delve into the key components of SCV, including real-time tracking, predictive analytics, risk detection, and adaptive planning. The paper also covers the architecture of cloud-based SCV platforms, integration strategies, and security considerations. Real-world examples illustrate successful implementations across manufacturing, retail, and logistics. Implementation best practices and common challenges are discussed, along with mitigation strategies. As AI becomes increasingly sophisticated, the scope of supply chain visibility will expand to include autonomous decision-making and self-optimizing networks. Businesses adopting these technologies stand to gain improved efficiency, reduced costs, and enhanced resilience. Through careful planning, data governance, and cross-functional collaboration, organizations can unlock the full value of AI-powered SCV. This paper serves as a strategic guide for supply chain leaders, IT teams, and operational stakeholders looking to enhance visibility through cloud and AI integration.
Field Engineering
Published In Volume 13, Issue 2, April-June 2022
Published On 2022-06-09
Cite This Optimizing Supply Chain Visibility with Cloud-Based Platforms and AI - Vivek Prasanna Prabu - IJSAT Volume 13, Issue 2, April-June 2022. DOI 10.71097/IJSAT.v13.i2.3381
DOI https://doi.org/10.71097/IJSAT.v13.i2.3381
Short DOI https://doi.org/g9dgpd
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