The SORDI Green Physics AI and Metadata animations were developed as parallel projects to illustrate new functionality within SORDI.ai. These features enable real-time asset monitoring, analysis, and optimization, providing users with insights into asset conditions to enhance performance and efficiency. Leveraging historical data and metadata, artificial intelligence predicts an asset’s future status, including potential risks, aging, maintenance needs, and other variables. The first project, featuring the pink container asset, demonstrated the procedural modification of textures within a digital twin. The second project, centered on the forklift, explored the integration of metadata to dynamically update textures based on physics simulations, usage patterns, and real-time environmental changes.