The application of AI, Blockchain, and Industry 4.0 technologies thus transforms the IT supply chain towards sustainability and resilience within different industries. These include IoT and Big Data. They help to optimize the production processes, reduce waste, enhance resource consumption, and further support instant decision-making toward environmental sustainability. Industry 4.0 also inspires state-of-the-art logistics, smart factories, and increased transparency through blockchain technology, which improves traceability and security. But such great improvements come with challenges like expensive implementation, digital skills gap, and resistance to change. Additionally, emphasized the need for flexible supply chains, where AI, Blockchain, and IoT offer the most suitable solutions to avoid future interruptions. Still-research gaps exist about the integration of these technologies in reverse logistics and more sustainable manufacturing. This research aims to study the potential of these technologies in optimizing the IT supply chain towards overcoming issues encountered and future opportunities toward adoption. The present research employs systematic reviews and sophisticated methodological quantitative procedures for identifying trends, gaps, and impact concerning the sustainability of supply chains with AI, Blockchain, and IoT technologies. Findings reveal that the technologies mentioned previously have considerable potential not only for improving operational efficiency but also sustainability; this will in turn have an inherent impact on the innovations and future strategies of supply chains themselves.