Modular buildings offer significant potential for reuse and relocation, particularly for temporary facilities and social housing, contributing to circular economy goals and reducing construction waste. However, designers often lack visibility of available modules at the expected construction date, while end-of-life modules face storage constraints, leading to premature disposal – especially in dense urban contexts.
This study proposes an AI-driven Modular Bank platform to enable systematic reuse through three core functions: (1) Resource Visibility – a shared digital repository providing real-time data on modular units scheduled for disassembly, including layout, condition, and availability; (2) Design Adaptation – AI-powered algorithms integrated with BIM to suggest optimized design schemes based on available modules; and (3) Logistics Coordination – predictive scheduling tools to align disassembly, transport, and assembly across projects, minimizing temporary storage needs. The platform leverages BIM visualization, cloud-based collaboration, and machine learning for decision support.
A conceptual framework will be presented, outlining technical architecture, workflow integration, and potential implementation challenges. Academically, this research advances digital circularity frameworks with multi-project resource planning. Practically, it offers a scalable solution to reduce waste, optimize supply chains, and accelerate sustainable modular construction in high-density urban environments.