Integration of AI agents to promote the metaverse capabilities in the supply chain logistics

Purpose: This study is focused on the capability enhancement for the AI-driven Digital Twins of warehouses, logistics hubs, and supply chain networks which can be created within the metaverse. Integration of real-time data from IoT devices that can update the sophisticated systems which implemented the new and emerging technologies, allowing for virtual monitoring, predictive maintenance, and leading to process optimization. The study will provide insights on what capabilities can be enhanced for a seamless integration and implementation of these technology.
Methodology: this is a structured literature review of 36 articles that emphasize on the capabilities that are implementing this technology and creating a more resilient ecosystem. The structured literature review would follow the PRISMA flow (Moher et al., 2009) method to shortlist the best fit articles for this study.
Findings: The best fit articles would be used to create a conceptual framework that would help the development of the integration of AI agents in the metaverse ecosystem and enhance the capabilities to make a resilient organisation. The strategies that can help in intelligent planning and simulation would be utilised to create competitive advantage for the firms.
Conclusion: The fusion of AI agents and the metaverse marks a transformative leap in supply chain logistics, aligning with the human-centric vision of Industry 5.0. This integration not only enhances operational efficiency but also promotes seamless collaboration between humans and intelligent systems within immersive virtual environments.
Originality: The capabilities enhancement is an essential part of the implementation of this technology. This is specifically targeted to create more resilient firms and an overall positive firm performance to survive in the industry 5.0.