Journal's Facebook pageAnalyzing the Operational Efficiency of Online Shopping Platforms Integrated with AI-Powered Intelligent Warehouses
- Wuhan Business University School of Tourism Management, China
295751380@qq.com - Department of Recreation & Sport Management, Shu-Te University, Taiwan
shaw@stu.edu.tw - Department of Agricultural Technology, National Formosa University, Taiwan
sheng8876@nfu.edu.tw - Department of Leisure and Recreation Management, Asia University, Taiwan
peter72@asia.edu.tw - Department of Information Management, National Chin-Yi University of Technology, Taiwan
c07408@ncut.edu.tw - Wuhan Business University School of Tourism Management, China
46112164@qq.com
Abstract
The application and development of AI intelligent technology is the key to solving the current shortage of manpower in online malls and industries, and also improving the overall efficiency of online shopping Platforms operations. Modern people’s living and consumption habits have changed, and online shopping focuses on delivery speed, accuracy and delivery quality. Therefore, Intelligent warehousing management plays an important role in the operation of online shopping Platforms. This study mainly uses the network DEA model to analyze the operating efficiency of online shopping platforms Integrated with AI-Powered Intelligent Warehouses. The online shopping platforms operation and management is divided into the AI intelligent warehousing stage and the sales department stage, and based on the operating efficiency weights of the two stages, the total efficiency of the online shopping platforms is measured by a weighted average. 39According to the empirical analysis results, the AI-Powered intelligent warehousing efficiency weights of all online shopping platforms are higher than the sales efficiency weights, indicating that the key to the overall efficiency of online shopping platforms is the AI-Powered intelligent warehousing operation and management efficiency. Although D1 (Shopee Taiwan) has the highest sales efficiency value and annual transaction volume, its efficiency value in the AI-Powered intelligent warehousing stage is lower than D3, resulting in the total operating efficiency being lower than D3. Therefore, it can be seen that the operating efficiency of the AI-Powered intelligent warehousing department is currently The key to the success or failure of online shopping platforms operations.
Key words
AI-Powered intelligent warehousing, network DEA model
How to cite
YUQIN, W., Shyu, C., Lin, C., Chen, C., Chang, T., SHAN, L.: Analyzing the Operational Efficiency of Online Shopping Platforms Integrated with AI-Powered Intelligent Warehouses. Computer Science and Information Systems
