Shared Shops Based on an Intelligent Container System

With the rapid development of the sharing economy and IoT technologies, traditional retail models face increasing demands for intelligent transformation. This paper proposes a shared store solution based on a smart cabinet system, integrating Android client development, RFID radio frequency identification, and IoT technologies to achieve unmanned commodity management and automated sales processes. The system adopts a layered architecture design supporting multi-role collaboration (customers, stock clerks, operators, and factory testers), incorporating functions such as product identification, remote hardware control, real-time inventory management, and video surveillance. Test results demonstrate that the system significantly improves cabinet operation efficiency, reduces labor costs, and addresses product misidentification through a discrepancy checking mechanism, achieving an inventory accuracy rate exceeding 98%. The project validates the feasibility of smart cabinets in shared retail scenarios, providing technical support for promoting small-scale distributed business models.