AI-Driven Sustainability Practices in Modern Supply Chain Management

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Authors: Arun Agrawal, Pratibhadevi Tapashetti, Shagufta Parween, Yalla Hari Krishna, Srinivasan. Nagaraj, K. B. Glory, Deepak Mishra, Deepak Gupta
Cited by: 3
References: 22

Abstract

AI is emerging as a key force that roams the sustainability of supply chains. It assists the companies to minimize waste, make better use of resources as well as enhance performance. The AI tools help in real-time tracking, demand forecasting, optimizing routes, reducing energy, and responsible sourcing. These capabilities enable the businesses to be aware of risks during the first stage and also to take decisions that safeguard the environment and economy. AI also increases the transparency since it provides a clear picture of the supplier's activities and the carbon emissions. As sustainability in operations of industries is sought, AI offers solutions that are practical and make supply chains stronger. This paper describes the way in which AI enhances sustainability, brings out major applications, and gives a discussion on how organisations can pursue these technologies in a modest and affordable approach.

Fields of Study & Subjects

Supply Chain Resilience and Risk Management Internet of Things and AI Big Data and Business Intelligence

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Publisher
IGI Global Scientific Publishing
Pages
105–138
Publication date
5 March 2026
Document type
Book chapter