AI-Driven Innovations in Supply Chain Management

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Authors: M. Mohana, B. Yamini, K. Sivasakthi, S. Subhash, L. A. Anto Gracious
Cited by: 1
References: 11

Abstract

This chapter explores the impact of artificial intelligence (AI) on supply chain management (SCM), focusing on how AI-driven innovations enhance efficiency and resilience across key supply chain areas. AI technologies, such as machine learning, natural language processing, computer vision, and robotics, are revolutionizing demand forecasting, inventory management, procurement, logistics, and quality control. The chapter examines how AI optimizes operational processes, reduces costs, and improves real-time decision-making capabilities, while also addressing challenges such as data quality, implementation costs, and ethical concerns. It highlights the potential of AI to create more agile, sustainable, and resilient supply chains, positioning businesses to thrive in a rapidly changing global market.

Fields of Study & Subjects

Supply Chain Resilience and Risk Management Digital Transformation in Industry Big Data and Business Intelligence

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Publisher
IGI Global Scientific Publishing
Pages
225–250
Publication date
29 January 2026
Document type
Book chapter