Nowadays, the apparel industries are facing the high inventory cost and abandon cost as a primary pain point, which is caused by the short life cycle of apparel products and consumers’ highly uncertain demand for apparel products. Recently, the “Fast Fashion Market (Speed to Market)” has boomed. It is rather difficult for traditional manufacturers to balance productivity and design capabilities. They have faced the dilemma between the accuracy of style prediction, the immediacy of market trends, and the problem of shrinking margins. Given this, the current plan assists cooperative companies in constructing a new omnichannel marketing model not only in the pre-, middle, and post-production links but also a comprehensive response to internal and external data analysis and dynamic correction modules. It applies technologies such as big data analysis, web crawlers, and artificial intelligence to integrate internal and external data to construct a new omnichannel marketing model. Through this mechanism, the project has successfully linked all operating processes with consumer-oriented data. In this way, it has well enhanced the corporate design ability, productivity, and marketing capabilities, which solves the dilemma of the traditional apparel industry. The results not only prove the feasibility of such a mechanism but also create spillover effects for many other industries. In sum, this plan supports Taiwan’s industries to realize the “Athleisure” company due to the upgrading market trends. By doing so, it has become possible for Taiwan to achieve new success in the global Athleisure market. Furthermore, the integration of big data analysis, web crawling, artificial intelligence, and other technologies is realized to the omnichannel marketing of the actual industry.
|Effective start/end date||2019/06/01 → 2020/05/31|
- Big Data
- Web Crawler
- Artificial Intelligence
- Omni-channel Marketing Model
- Customer Oriented (C2B)
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