Harnessing Artificial Intelligence for Sustainable Supply Chain Management

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Authors: Pugalenthi Ramamurthy
Cited by: 0
References: 15

Abstract

This chapter discusses the use of Artificial Intelligence (AI) to improve sustainable supply chain management (SSCM). It reviews the most important AI technologies, including machine learning, predictive analytics, IoT, and blockchain, and their contribution to enhancing efficiency, transparency, and sustainability in supply chains. The survey finds the potential of AI to streamline such processes as demand forecasting, inventory management, and logistics, resulting in a decreased environmental impact and enhanced operational efficiency. The challenges to the adoption of AI, such as technological, financial, and human factors are also covered. The recommendations to businesses and the policymakers state that there should be proper regulations, investments in infrastructure, and development of skilled workforce. The chapter ends by discussing future research directions where the focus is on the combination of AI, circular economy, and sustainable supply chains.

Fields of Study & Subjects

Impact of AI and Big Data on Business and Society Sustainable Supply Chain Management Supply Chain and Inventory Management

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
279–306
Publication date
5 March 2026
Language
EN
Document type
Book chapter