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

Author:

Sowmya G.1ORCID,Sridevi Rangu2,Rao K. S. Sadasiva3,Shiramshetty Sri Ganesh4

Affiliation:

1. MLR Institute of Technology, India

2. Jawaharlal Nehru Technological University, India

3. Sri Indu College of Engineering and Technology, India

4. State University of New York, USA

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.

Publisher

IGI Global

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