Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Pandey, Ananya Title A name given to the resource Transformative Artificial Intelligence for Sustainable Supply Chains: Optimizing Green Logistics and Circular Economy Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Transformative Impact of AI in Supply Chain Management;pp.377-399 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-0923-1.ch015" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-0923-1.ch015</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105017639958?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105017639958?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pandey A., Christ University, Bangalore, India Description An account of the resource Artificial intelligence (AI) is revolutionizing supply chain management by providing ways to improve operational effectiveness and sustainability. In supply chain operations, businesses can decrease waste, and lower carbon footprints by utilizing machine learning, predictive analytics, and decision- making. As environmental concerns grow, industries are using AI technologies more and more to improve supply chains' sustainability, efficiency, and transparency. AI greatly enhances distribution and transportation networks by assisting with fuel efficiency, route planning, and emission monitoring via green logistics. Furthermore, by making it easier to reuse, recycle, and remanufacture things, AI advances circular economy models. It helps companies make the shift from linear to circular production systems by forecasting product lifecycle stages and controlling material flows. Keeping in view the above, this chapter analyzes the critical role of AI in shaping future supply chains, where economic performance aligns with environmental stewardship, fostering a more sustainable global economy. 2026, IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833730925-5; 979-833730923-1; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online