With large-scale foreign brands to enter the Chinese market as well as domesticlabor costs and other factors, making the garment industry increasingly competitive. Atthe same time, consumer demand for personalized and more obvious trend changecycles are getting shorter, so that fashion trend predictors of garment enterprises areincreasingly important. With the help of big data and other emerging technologies, thetrends can be analyzed better out and garment enterprises to further serve the design,production and marketing of all aspects. This article summarizes the general rule ofrapid response manufacturing system, add clothing particularity, summed up the rapidresponse system model and garment industry.Based on the value chain theory, supply chain theory, the theoretical trends andgarment enterprises will be divided into three companies, namely efficient response,low cost rapid response type and speed response category. After that, select its threetypical representatives of business analyses their rapid response system and variouslevels of achievement. In contrast to trends and forecasts three companies in their rapidresponse system after the role, based on the popular trend forecasting constructedgarment enterprises rapid response system model. Then after validation by actual cases,the existing domestic brand rapid response system reform, pointing out that it shouldmake a change, and help achieve the ultimate fashion trend forecasting rapid response. |