Fast Fashion Brands Can'T Escape Quality, But The Overall Market Is Worrying.
While the import of luxury goods is increasing rapidly, we should not ignore the problem of consumer goods. At present, they are pouring into the domestic market. This not only disrupts the order of the normal import market, but also damages the rights and interests of consumers. It is not conducive to domestic consumers. The blind worship of foreign brands needs to be broken and rational consumption.
AQSIQ is analyzing imports Clothing products The reason for the emergence of safety and quality problems is that the import volume of fast fashion brands has been increasing, but the rate of failure has remained high. Because fast fashion brands win at speed and price, but quality level It is not satisfactory, lacking strict quality control and testing for Chinese standards.
At the same time, Unqualified There are many world famous brands of imported garments with many batches. Because of the different standards and regulations in China, some brands have better control over product quality, while some international luxury brands and first-line brands have more unqualified batches.
In addition, through the analysis of the white paper, we can see that the high rate of failure in import clothing has been transferred from developing countries to developed countries. In 2013, Turkey, Bangladesh, India, Vietnam and other developing countries had a high rate of disqualification. In 2014, the United States, South Korea, Italy and Japan became the countries with high rate of unqualified batches of imported garments.
The AQSIQ believes that the United States has become the country with the highest rate of unqualified batches due to the serious quality problem of fast fashion brands. As a fashion capital, Italy has a large number of first-line brands. Due to the large number of imported garments, the batch reject rate is relatively high. In Japan and South Korea, the quality of clothing is neglected because of its fashionable clothing and fast updating.
Because the cost of a single item is low, even if the product is unqualified, it will fail to carry out the product or destroy it. In addition, consumers generally do not know enough about the harm level of clothing product quality and safety projects, so fast fashion brands are still popular despite repeated exposure.
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Second rate businesses look at traffic, and first-class businesses look at data. Many traditional businesses may not be able to see big data, but now they do not understand it. In cooperation with Internet Co, it would be a great waste if we only value user resources instead of user data.
UNIQLO obviously sniffed the value of data. For example, this free delivery activity is actually a big data marketing. Alipay's data capabilities are able to recommend uniqe's activity information to target users according to the geographical distribution, behavioral preferences, consumption preferences and living radius of different groups of people. Even in line with the demand for new businesses, Alipay can even set up the proportion of new and old users of UNIQLO when pushing users.
There are many functions of data, such as site selection. The location of traditional businesses is generally estimated to be the location of passenger flow. But with the help of Internet Co's data compass, they can clearly know where the target users are located, and where to set up shop is the most appropriate. Data capability is the short board of traditional enterprises, but it is the strength of Alipay.
It is stupid to think Internet Co is being used. They are not stupid at all. Alipay wallet borrowed its own site, in fact, the map is also data. Alipay platform itself has massive online trading data and powerful data mining capabilities, but with the penetration of the line, Alipay also needs to continuously supplement the data of merchants and users below the line. Using offline data to continuously improve their overall data, so that there is a backflow of data under the line, and data dimension is richer, which can better provide guidance and decision-making for online and offline scene operation.
In traditional enterprises, the case of Internet cooperation in UNIQLO is more useful. Through big data to guide their own operation decisions, O2O continuously imported new user resources from the line. UNIQLO clearly knows what it lacks, and what Internet Co can give it to take advantage of other countries, which is worthy of the imitation of other traditional enterprises.
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