Apparel Industry: Big Data Runs Through The Industry Chain
LV and CHANEL may be able to gamble in leading the fashion trend. But for the vast majority of garment manufacturers, predicting the trend of next year and consumer preferences is a big headache.
In 2014, the clothing industry in China had a high inventory rate, and many brands even reached 40%, the highest inventory in ten years.
In the next 1-3 years, China's apparel industry will face a round of elimination of inventory.
"At present, the backlog of clothing inventory by manufacturers and distributors can make the whole country wear for 10 years.
The longer the backlog is, the more it loses.
The first edition of Hakka O2O mode is to break this tradition and reduce inventory.
Talking about the special advantage of the first edition of hey guest, the first edition of Wang Bin, the general manager of hey guest, is just like this.
The breakthrough is to achieve this goal.
Clothing industry
Big data.
Wang Bin explained: "there are endless consumers buying and browsing data on Taobao, but it only uses this data to sell money, sell traffic, and do not provide this data to the upstream and middle reaches of the service providers.
Taobao is making money, the upstream and middle reaches of the production business is dead, which is the problem we need to solve.
First edition
Hey guest
Positioning itself as a smart O2O mode, so that big data can form an effective cycle in the whole industry chain, and manufacturers, businesses and consumers will benefit from it simultaneously.
The first edition hi guest mall will open to the upstream industry chain.
Big data
Through big data analysis, service providers can produce products that are more popular and more in line with the needs of the market. Businesses can provide better services and activities for better sales, and consumers will also buy more desirable products.
"If the flow of information is not smooth, the producers will be self centered, and the salesperson will sell themselves as the center, so that the product will become a backlog of stocks."
The first edition, head of the store operation, said: "before the clothing market, information and data could not flow to the factory, and the factory could only blindly produce.
In the era of Internet, we can solve this problem by making use of Internet information, data and online to revitalize O2O.
The first edition of Hakka mode is to provide data to our upstream supply chain by invigorated O2O, and to support its two production and two development, which is what manufacturers need for market production.
Wang Bin said: the first edition of the hi guest O2O platform can not only solve the traditional stock pain points, but also solve the traditional management pain points such as the online link service of the members online, and the dismal flow of the shops, which will form the ecological interaction of the industrial chain, so that the manufacturers can precisely produce, the business will operate efficiently, and the consumers will trust the consumption.
"Enterprise inventory is close to 50%, reaching a critical point."
Before the 2013, the garment industry's profits were also good. By 2014, the profits of many enterprises were stacked in warehouses and became production inventories.
For upstream manufacturers, knowing the location of customers' consumption needs, they can predict where the next consumption area will be, and make better early development and early ordering.
According to the traditional method of clothing industry, the data integration among the whole ecological chain can not be realized by the operation of different businesses, the information is not interlinked, the channels are not right, and the lack of links between market demand and manufacturers' production become the primary culprit of inventory backlog.
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