Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8–10, 2023, Guangzhou, China

Research Article

Sales Channel and Sales Strategy Management Based on New Intelligent Wardrobe Design

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  • @INPROCEEDINGS{10.4108/eai.8-12-2023.2344808,
        author={Yuanyuan  Wei and Siyu  Chen and Sihan  Yang and Chenyu  Ma and Yulan  Li and Ying  Zhang},
        title={Sales Channel and Sales Strategy Management Based on New Intelligent Wardrobe Design},
        proceedings={Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8--10, 2023, Guangzhou, China},
        publisher={EAI},
        proceedings_a={MSIEID},
        year={2024},
        month={4},
        keywords={intelligent wardrobe sales clothing management deep learning model channel promotion clothing identification},
        doi={10.4108/eai.8-12-2023.2344808}
    }
    
  • Yuanyuan Wei
    Siyu Chen
    Sihan Yang
    Chenyu Ma
    Yulan Li
    Ying Zhang
    Year: 2024
    Sales Channel and Sales Strategy Management Based on New Intelligent Wardrobe Design
    MSIEID
    EAI
    DOI: 10.4108/eai.8-12-2023.2344808
Yuanyuan Wei1,*, Siyu Chen1, Sihan Yang2, Chenyu Ma3, Yulan Li1, Ying Zhang4
  • 1: Gingko College of Hospitality Management
  • 2: University of Electronic Science and Technology of China
  • 3: Hebei University of Science and Technology
  • 4: China Agricultural University
*Contact email: 3084732325@qq.com

Abstract

With the advancement of technology and the increase in people's demand for convenient life, smart home products are becoming an indispensable part of consumers' daily lives. The intelligent wardrobe introduced in this paper has several intelligent functions. It can not only determine the warmth of the clothes by connecting the weight sensor, help users make more appropriate clothing choices, but also obtain real-time weather information and support voice broadcast function. Users can understand the weather conditions of the day through the smart wardrobe and get targeted clothing advice. Whether it is cloudy, rainy or cold winter, the smart wardrobe can provide the most suitable clothing recommendation according to the weather conditions, so that users can stay comfortable and fashionable.