Integrating AI, ML, Blockchain, and IoT for End-to-End Supply Chain Optimization

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Author(s): G. Sowmya (MLR Institute of Technology, India), Rangu Sridevi (Jawaharlal Nehru Technological University, India), K. S. Sadasiva Rao (Sri Indu College of Engineering and Technology, India)and Sri Ganesh Shiramshetty (State University of New York, USA)
Copyright: 2024
Pages: 24
Source title: Strategic Innovations for Dynamic Supply Chains
Source Author(s)/Editor(s): Filiz Mızrak (Beykoz University, Turkey)
DOI: 10.4018/979-8-3693-3575-8.ch006

Keywords: Business & Management / Business Science Reference / Operations and Service Management / Supply Chain Management

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Abstract

This chapter explores the synergistic integration of artificial intelligence (AI), machine learning (ML), blockchain, and the internet of things (IoT) to achieve comprehensive supply chain optimization. It examines the distinct contributions of AI and ML in predictive analytics, outlines the transformative impact of blockchain on transparency and security, and emphasizes the real-time monitoring capabilities of IoT. Through practical examples and case studies, the chapter illustrates how the combination of these technologies forms a holistic framework, enhancing visibility, enabling adaptive decision-making, and fortifying resilient supply chain ecosystems. The discussion not only highlights the benefits but also addresses challenges and considerations, offering a strategic roadmap for organizations seeking to leverage the combined power of AI, ML, blockchain, and IoT for a more efficient and responsive supply chain.

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Integrating AI, ML, Blockchain, and IoT for End-to-End Supply Chain Optimization

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