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The national clothing retail sales grew 9.2% in March
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作者 Zhong Xinzheng 《纺织服装周刊》 2013年第19期49-,共1页
According to National Bureau of statistics,in March,2013,the domestic apparel consumption price had a year-on-year increase of2.4%,the same as the previous month,fell 1.6%compared with the same period of2012.In the fi... According to National Bureau of statistics,in March,2013,the domestic apparel consumption price had a year-on-year increase of2.4%,the same as the previous month,fell 1.6%compared with the same period of2012.In the first quarter of 2013,apparel consumption price had a accumulated increase of2.5%,1.2%lower than the same period of2012. According to the China National Commercial Information Center,in March,2013,clothing 展开更多
关键词 in March In DOWN The national clothing retail sales grew 9.2
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Shanghai Top 10 Shoppingmall Clothing Retail Sales Down 34.7% in Nov.2011
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作者 Zhong Xinzheng 《纺织服装周刊》 2012年第4期41-41,共1页
Shanghai - According to Shanghai Apparel Association, selling a total of 768000 pieces ( sets)in Shanghai top 10 department stores in Nov. 2011,Less than last month by 408000 pieces ( sets) edging down 34.7per cent m/... Shanghai - According to Shanghai Apparel Association, selling a total of 768000 pieces ( sets)in Shanghai top 10 department stores in Nov. 2011,Less than last month by 408000 pieces ( sets) edging down 34.7per cent m/m (-6.9% y/y). The apparel sales volume 展开更多
关键词 CNY in Nov.2011 Shanghai Top 10 Shoppingmall clothing retail Sales Down 34.7 DOWN
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National clothing retail sales up 16.89%y/y in Nov.2011
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作者 Zhong Xinzheng 《纺织服装周刊》 2012年第5期41-41,共1页
According to the China National Commercial Information Center, in Nov.2011, clothing retail sales volume of national key large-scale retail enterprises was CNY 17.53 billion, continued to rise, an increase of 16.89% y... According to the China National Commercial Information Center, in Nov.2011, clothing retail sales volume of national key large-scale retail enterprises was CNY 17.53 billion, continued to rise, an increase of 16.89% y/y,lower than the growth of national key large-scale retail enterprises total 展开更多
关键词 Jack CNY National clothing retail sales up 16.89%y/y in Nov.2011 than
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National clothing retail sales+21.6% y/y in Aug.
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作者 Zhong Xinzheng 《纺织服装周刊》 2012年第42期41-41,共1页
According to the National Bureau of statistics, in Aug.2012, the total retail sales of clothing by wholesale and retail enterprises above designated size was up by 20.7 percent over the previous year, the highest data... According to the National Bureau of statistics, in Aug.2012, the total retail sales of clothing by wholesale and retail enterprises above designated size was up by 20.7 percent over the previous year, the highest data since the beginning of the year and the growth rate exceeded 20% y/y for the first time. 展开更多
关键词 y/y in Aug National clothing retail sales+21.6
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Women's Clothing Retail Sales in BJ Top 21 Department Stores Worth CNY 209 million
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作者 Guo Yun 《纺织服装周刊》 2011年第38期9-9,共1页
Beijing Jul. - Sales value of women’s clothing in Beijing 21 mid-to-high range department stores was unsatisfying in recent months, according to Beijing Commercial Information Consultation Center.
关键词 CNY Women’s clothing retail Sales in BJ Top 21 Department Stores Worth CNY 209 million
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Clothing Sales Forecast Considering Weather Information: An Empirical Study in Brick-and-Mortar Stores by Machine-Learning
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作者 Jieni Lv Shuguang Han Jueliang Hu 《Journal of Textile Science and Technology》 2023年第1期1-19,共19页
Reliable sales forecasts are important to the garment industry. In recent years, the global climate is warming, the weather changes frequently, and clothing sales are affected by weather fluctuations. The purpose of t... Reliable sales forecasts are important to the garment industry. In recent years, the global climate is warming, the weather changes frequently, and clothing sales are affected by weather fluctuations. The purpose of this study is to investigate whether weather data can improve the accuracy of product sales and to establish a corresponding clothing sales forecasting model. This model uses the basic attributes of clothing product data, historical sales data, and weather data. It is based on a random forest, XGB, and GBDT adopting a stacking strategy. We found that weather information is not useful for basic clothing sales forecasts, but it did improve the accuracy of seasonal clothing sales forecasts. The MSE of the dresses, down jackets, and shirts are reduced by 86.03%, 80.14%, and 41.49% on average. In addition, we found that the stacking strategy model outperformed the voting strategy model, with an average MSE reduction of 49.28%. Clothing managers can use this model to forecast their sales when they make sales plans based on weather information. 展开更多
关键词 clothing retail Sales Forecasting Weather MACHINE-LEARNING Stacking
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Analysis on the Development Trend of Garment Entity Retail Industry under the Background of Internet
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作者 LI Zhen 《International English Education Research》 2016年第12期43-46,共4页
Under the background of rapid development of the Intemet, the traditional garment industry in China has undergone changes in marketing, payment and logistics and warehousing. The development trend of the,apparel indus... Under the background of rapid development of the Intemet, the traditional garment industry in China has undergone changes in marketing, payment and logistics and warehousing. The development trend of the,apparel industry is becoming more and more obvious. However, faced with the strong Internet impact, the retailing of apparel is confronted with both development constraints and new challenges. The individualized consumption demand is becoming more and more prominent.How to achieve the successful transformation of the entity retailing in the competitive environment, To meet the diverse needs of consumers.Therefore, based on the theory and practice, this paper analyzes the present situation and trend of the development of garment retailing in the Internet environment, and aims at providing theoretical analysis basis for the change of China's garment retailing industry.Application of reference to promote the network environment of China's traditional garment industry restructuring and healthy and sustainable development. 展开更多
关键词 INTERNET clothing retail Transformation Development trend
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