Big Data Era, Shoe Size Problem Still Can Not Solve It?

In 2014, the turnover of Taobao was 1 trillion and 172 billion.

According to network data, footwear accounts for about 4.5% of turnover and annual turnover of footwear products is 50 billion.

The return rate of Taobao footwear is around 10%, the direct value loss is around 5 billion, plus the cost loss of logistics, labor, inventory and customer churn, which is more than 5 billion.

The high loss caused by the replacement is 80% based on the "size problem".

Any organization and platform wants to solve this problem, including Taobao and Jingdong.

Taobao has launched Taobao's "size assistant" since 2012, but the effect is not ideal after years. It still can not solve the problem of exact matching of shoes and clothing size (the measurement method is complex, data accuracy is not enough, user experience is very poor, and it can not be reused).

At the 2015 Asian electronics consumer exhibition in 2015, the joint Intel launched the "Kuai Fu 1", claiming that it would quickly complete the foot data collection for consumers, and accurately recommend the appropriate footwear for users.

Little did I know.

(Realsense) it is impossible to accurately measure foot type 3D data.

"Precision matching" still can not be solved.

At present,

There is no uniform standard for size, and each enterprise has its own standard.

Different shoe companies and different categories mean different sizes.

At the same time, the standard of Chinese size is still in a basic stage with the length as the core.

And looking around the world, many developed countries, such as the United States, have been fined to different dimensions such as foot width and foot circumference.

The domestic size standard is a very unfriendly process for users to choose, so that users can always be entangled in the product they can choose to wear. In the era of mobile e-commerce, "spoiling the user" is precisely the core value.

The revolution and era of "size data"

The lack of body data and user database leads to the problem of small to size problems in the footwear industry, which can not be solved from design, development, production, marketing and so on, which wastes a lot of operating costs and user costs.

Throughout the Chinese shoes and clothing design is basically follow + imitation.

This may be feasible in the early days of the industry, but as the industry matures and competition becomes more intense and the revolution of user scenarios comes, this road will be more and more difficult, so that shoe companies will be in danger and tread on thin ice.

How to analyze the needs of users based on big data and rationally layout the industrial structure to meet the needs of users fragmentation and personalization in the mobile Internet era? This is the economic characteristics of the data revolution in shoe and clothing industry.

Under the current industrial situation, most enterprises are unable to integrate and win the same industry resources because of strategic differences and peers are enemies.

As a leader of human 3D data interaction in China, it is committed to sharing data in the era of data driven retail, connecting fashion, and assisting.

Enterprises create exclusive era.