NONE 20260205094234200 wseas/wseas content-registration-form+ja@crossref.org content-registration-form WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT 1790-5079 2224-3496 Shwe Yi Win Faculty of Business and Communication, INTI International University, Negeri Sembilan, MALAYSIA Rajermani Thinakarnan Faculty of Data Science and Information Technology, INTI International University, Negeri Sembilan, MALAYSIA Hushalictmy Paliyanny Faculty of Data Science and Information Technology, INTI International University, Negeri Sembilan, MALAYSIA László Koloszár Alexandre Lamfalussy Faculty of Economics, University of Sopron, HUNGARY S. K. Manju Bargavi Department of Computer Science and IT, Jain Deemed to be University, Bangalore, INDIA Better resource management combined with waste reduction and longer product life cycles presents sustainability improvements by integrating the Internet of Everything (IoE) into Circular Economy (CE) models. This extensive study examines both the promising aspects and obstacles associated with the IoE when used to advance CE goals. IoE provides enhanced servitization, optimizing resource efficiency and enabling successful product recovery through real-time surveillance, analytical tools, and improved product tracking capabilities, while enhancing sustainability, global collaboration, and leveraging artificial neural networks and convolutional neural networks. Through IoE, organizations adopt more sustainable production and consumption patterns since they gain the ability to track materials and products from creation to disposal. Various barriers prevent the adoption of IoE in CE because customers express doubts about their conduct, face financial risks, scalability limitations, and interoperability challenges. The management and utilization of the IoE system generate extensive data that faces numerous significant challenges with security and complexity concerns. 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