AI Wear Mogujie.Com Big Data To Reshape "Fashion New Retail"

"There is always a dress missing from a woman's wardrobe."

How can women guess what the women really like in this season? In August 30th, mogujie.com was there.

Release the trend of women's clothing in autumn and winter 2017, analyze and predict the seemingly complicated trend elements.

Zhang Xin, director of fashion merchandising, said: "to understand and predict the trend of commodities through big data will not only help the platform to provide consumers with new and better product styles, but also achieve accurate inventory prediction and promote the upgrading of the supply side of the garment industry."

In the future, consumers may be wearing "beautiful data".

At the same time, if we can grasp these data more than consumers, it is undoubtedly a reshaping and upgrading for women's clothing industry.

Mogujie.com trend has "number".

Unlike big data in technology and consumption, "beauty" looks emotional and complex.

How does mogujie.com break the code of tide pants?

Mogujie.com has been understanding "women" and "beauty".

With the rapid development of the national economy, the new generation of female users pay more attention to the quality of products, and are more willing to choose products that meet their needs and consumption characteristics.

This also requires women's clothing business to return to the nature of products and services, and provide goods and services that are more in line with consumer demand.

Zhang Xin said that in order to master women's choice of consumption as much as possible, mogujie.com did a lot of market research data analysis, data acquisition objects to mogujie.com global Street pat, designer brand, fast fashion brand, down to wholesale market, and everyday women's real choice scene.

On the other hand, mogujie.com made a big data analysis of full channel sales, from which we can get insights into user preferences, styles, interests, scenes, purchasing power and so on.

The value of big data lies in the "processing capability" of data, and the "value-added" of data can be achieved through processing.

The development of data technology can infinitely approach the inner needs of consumers, while grasping data means mastering the needs of consumers, "Zhang Xin said.

Data has always been an important dimension for both traditional e-commerce and fashion brands.

According to Zhang Xin, in the past, the traditional electricity supplier data dimension focused on traffic efficiency alone, while in the fashion brand data dimension, besides paying attention to the sales data in ordinary stores, it also focused on the "style efficiency" with the three dimensions of "purchase, inventory and sales" as the core.

On the basis of comprehensive data output, mogujie.com gradually penetrated from simple sales to product design, breaking through the "production sales data" closed loop.

With the insight into the detailed design of each single item, it can also better select the money for the users, understand the needs of the users ahead of time, and accurately and quickly serve the users to meet the needs of users.

Mogujie.com's trend big data not only helps platform users to give reasonable suggestions when buying clothes, but also allows users to buy their favorite tides faster and more accurately. This is also of great significance for e-commerce providers, which can help businesses solve the beset fashion prediction and inventory problems.

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