This research investigates how decision trees (DTs) can be used to promote environmentally friendly practices in supply chain management. More specifically, it aims to reduce environmental footprints by integrating Internet of Things (IoT) technologies. It is critical for companies who are concerned about their environmental effect to implement green supply chain procedures in today's sustainability-focused business environment. DTs provide a strong foundation for environmentally sustainable decision-making by using data collected and analyzed via the IoT. To make informed decisions on resource usage, waste management, transportation logistics, and other important parts of operations, DTs analyze real-time environmental data collected from IoT sensors implanted in the supply chain network. It emphasizes how useful they are in creating strategies that are environmentally aware and in driving strategic efforts to reduce the carbon footprint. Using real-world examples and data it may improve operational efficiency and competitiveness while also helping the environment. Researchers and practitioners interested in implementing sustainable practices in supply chain management using IoT decision support systems may find this paper helpful since it addresses questions about integration, scalability, and future research trends. © 2024 Elsevier B.V., All rights reserved.