The New Venture Survival: Garment Customization Enterprises-Taking SAINT ANGELO Inc. as an Example

DOI

10.2991/assehr.k.200826.110How to use a DOI?

Keywords

Survival of enterprises, Garment Customization Enterprises, O2O, networking, intelligent technology

Abstract

With the development of the Internet and technology, there are many problems in the traditional clothing enterprises that are facing a crisis of survival. Therefore, the defects of the traditional garment companies are proposed at first. Then, how the SAINT ANGELO fashion brand successfully survived and brought more enterprises the probability of success is studied. To do this study, literature research method and case analysis are adopted in this research. According to the results of this research, the traditional clothing companies cannot survive due to the lack of clear value proposition, channel integration and advanced technology. Besides, the success of SAINT ANGELO Inc. shows that the accurate value proposition helps it produce right products conforming customers’ value concept. In addition, the high brand awareness helps it obtain the industrial chain resources. Moreover, the switch from online to offline gives full play to the advantages of the Internet and breaks the traditional service system. Furthermore, the intelligent factories are useful to increase production efficiency and sales volume, and the big data cloud center is used to obtain unavailable customer information and feedback.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuting Zeng
PY  - 2020
DA  - 2020/08/28
TI  - The New Venture Survival: Garment Customization Enterprises-Taking SAINT ANGELO Inc. as an Example
BT  - Proceedings of the 2020 4th International Seminar on Education, Management and Social Sciences (ISEMSS 2020)
PB  - Atlantis Press
SP  - 552
EP  - 557
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200826.110
DO  - 10.2991/assehr.k.200826.110
ID  - Zeng2020
ER  -