Humen town encourages e-commerce enterprises to take the brand development path and enhance brand awareness.

By giving full play to the leading role and demonstration effect of brand enterprises, the proportion of brand electric business enterprises will be gradually promoted and the brand cluster with Humen characteristics will be formed.

We also encourage and support the team of garment enterprises and designers to develop D2C, D2B and C2B e-commerce business, enhance the originality of products and services, enhance customer experience and create original brands.

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Clothing enterprises, Humen Town, conduct e-commerce guidance, actively use the information advantage of the Internet, expand the brand communication channels, and expand brand influence.

In view of the shortage of electricity providers,

We should actively strengthen cooperation with major secondary schools and educational resources, and cultivate and introduce various types through the establishment of professional training system and "order form" training of university talents.

Talents.

At the same time, we should continue to build a good environment for respecting talents, attracting talents, retaining talents and making good use of talents. We will build Humen into a gathering ground for all kinds of textile and garment business talents.

With the rapid development of electricity providers in recent years, online business ecology has changed from "cheap to King" to "brand is king".

Therefore, cultivating the well-known brand of clothing business is the first choice for winning the business war, improving the market share and enhancing the core competitiveness.

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"The current algorithm model Department has a very high position in Suning because it has to release the value of data, so Suning's investment in talent and research and development will continue to increase."

Suning IT headquarters relevant person in charge told reporters, "for C2B or the best single product mode, in fact, we have been doing related technology reserve work last year.

In essence, C2B is to drive its entire supply chain from the perspective of consumers. Compared with the traditional B2C mode, it emphasizes consumer oriented.

But if we want to be "consumer oriented", it means that the depth and accuracy of consumer demand research become a key point.

In this regard, enterprises will face challenges from data resources and artificial intelligence technology challenges.

From the challenge of data resources, the place, time, scene, and mode of the consumer are complex and changeable. It is equally important for him to observe whether the information of goods or needs can be captured.

For example, a user may ask salesmen at Suning's offline store. What do you have? This is actually a very important input of information. On line, users may enter a key word, which may represent buyers' purchase needs on a certain surface.

"In other words, there are a lot of explicit data like this, which we haven't got yet, which means that we are facing challenges in terms of data richness in forecasting users' needs."

The person in charge said.

In terms of AI technology, the degree of intelligence still faces challenges.

From the current big data industry, or the Internet industry, whether BAT or Google, we face the same challenges in this regard.

One of the most sensational things about Google's Googlebrain is that their robots can recognize a cat from a large number of YouTube videos.

If we stand at the level of human intelligence development, this is a very low age embodiment of intelligence, but standing in the machine learning perspective, it is a historic breakthrough.

"Suning faces enormous challenges in this regard.

However, gratifying is that relying on Suning as many as 5000 R & D personnel, Suning has begun exploration in this area.

The responsible person said, "based on the positioning of the group to the big data center, the data center is divided into several blocks according to its responsibilities. The first is the platform layer, which mainly solves the storage problem of abundant massive data, and ensures that the data can be stored, put down and calculated quickly. This is the main work of the platform layer.

The second is the algorithm model team, which is mainly algorithmic researchers. Their main duty is to mine useful information from massive data, and then assist business decisions, or enhance the efficiency of business operation, or improve business efficiency or results.

It also includes regular product design and development departments.