Geodesic
Analyzing the Operational Efficiency of Online Shopping Platforms Integrated with AI-Powered Intelligent Warehouses
Computer Science and Information Systems, Tome 22 (2025) no. 3

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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.
Keywords: AI-Powered intelligent warehousing, network DEA model 
WANG YUQIN; Chin-Shyang Shyu; Cheng-Sheng Lin; Chao-Chien Chen; Thing-Yuan Chang; LIANG SHAN. Analyzing the Operational Efficiency of Online Shopping Platforms Integrated with AI-Powered Intelligent Warehouses. Computer Science and Information Systems, Tome 22 (2025) no. 3. http://geodesic.mathdoc.fr/item/CSIS_2025_22_3_a17/
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     author = {WANG YUQIN and Chin-Shyang Shyu and Cheng-Sheng Lin and Chao-Chien Chen and Thing-Yuan Chang and LIANG SHAN},
     title = {Analyzing the {Operational} {Efficiency} of {Online} {Shopping} {Platforms} {Integrated} with {AI-Powered} {Intelligent} {Warehouses}},
     journal = {Computer Science and Information Systems},
     year = {2025},
     volume = {22},
     number = {3},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2025_22_3_a17/}
}
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%A LIANG SHAN
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