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Enhancing Sustainable Supply Chain Through AI Embedded in ERP Systems

Enhancing Sustainable Supply Chain Through AI Embedded in ERP Systems
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Author(s): Ali Elsayed Mohamed Fathalla (Faculty of Commerce, Al-Azhar University, Egypt)and Ahmed Mohamed Saber Ibrahim (Osim Higher Institute for Administrative Sciences, Egypt)
Copyright: 2026
Pages: 30
Source title: Accelerating Logistics Through Generative AI, Digital Twins, and Autonomous Operations
Source Author(s)/Editor(s): Abdelrehim Awad (University of Bisha, Saudi Arabia)and Dhafer Al Ahmari (University of Bisha, Saudi Arabia)
DOI: 10.4018/979-8-3373-7006-4.ch002

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Abstract

Incorporation of Artificial Intelligence (AI) into supply chain operations creates a paradigm shift, changing processes to realize more performance and responsiveness. In this chapter, the authors explore how artificial intelligence (AI) integrated into enterprise resource planning (ERP) systems can enhance the sustainable performance of supply chains. Sitting at the intersection of digitalization and sustainability, it examines how AI-enabled ERP utilizes better decision-making, reduces inefficiencies, and boosts resilience in global supply chains. Both the environmental, economic, and social aspects of sustainability are discussed and highlight the additional smart connection of Internet of Things (IoT) sensor information, blockchain, and the analysis of big data even more. A number of case studies in the manufacture, retailing, and logistics sectors demonstrate how AI-ERP solutions are generating real sustainability value. Finally, the chapter unveils the future research and practice directions with a special focus being placed at the convergence of AI and ERP.

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