Research on Cross-Platform Compatibility Design of Modeling Digital Twin System in Metaverse Scenarios

With the rapid development of Metaverse technology, scenarios where physical reality and Internet virtuality are integrated have gradually sparked a wave of online consumption. This research is based on the “Xingwo APP” project. The virtual shared space integrates technologies such as VR and AR, profoundly changing people's online and shopping patterns. Digital twin technology has huge potential in the field of clothing styling, and is used to solve the adaptation problems of users' personalized dressing needs and multi-platform interaction in the virtual space. By integrating AI 3D human body modeling technology, big data-driven fashion recommendation algorithms and cross-platform data interaction protocols, the system can generate users' digital twins in real time and support seamless switching and data synchronization among mobile devices, AR/VR devices and third-party e-commerce platforms. Users can conveniently enjoy virtual fitting and outfit recommendation services on multiple platforms, opening up a new path for the digital transformation of the clothing industry.