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.

Sili He, Xingyu Hui, Xiaoyu Shang. Shared Shops Based on an Intelligent Container System. Academic Journal of Business & Management (2025), Vol. 7, Issue 6: 52-56. https://doi.org/10.25236/AJBM.2025.070608.

[1] IDC new report: Android phones accounted for 87% of the market share in 2019, iPhone only 13%[OL]. https://www.expreview.com/70381.htm, 2019-09-10.

[2] Bi Xiaopeng. Master of Android Studio[M]. Beijing: Tsinghua University Press, 2017.

[3] Wang Ansheng, Software Engineering [M]. Beijing: Tsinghua University Press, 2014.

[4] Ma Biao. Design of Smart Home System Based on ARM and RFID [D]. Anhui University of Science and Technology, 2018.

[5] Black boxtesting and white box testing [OL]. https://blog.csdn.net/ruthywei/article/details/80484685

[6] Guo Qian. A Brief Discussion on the Application of White Box Testing Technology in Dynamic Software Testing [J]. Mobile Information,2016 (6):00152-00153.