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Look at the data, talk about the trend, create the future|Zhiyihui Garment Industry Salon Guangzhou Station ended successfully
2022-07-22 Zhiyi Technology

 

 

On the afternoon of July 21, it was hosted by Zhiyi Hui"Looking at the trend from the data, the big forecast of the clothing trend of Double 11" garment industry salon Guangzhou stationIt officially came to an end in Tianhe District, and more than 60 elites in the garment industry gathered together to seek common development.

 

This event invited the director of market trends and product operations of Zhiyi Technology, who used data to match them in an all-round waySales of apparel brands in the first half of 2022was interpreted. Liu Xiaomei, head of new media and supply chain of Dayiyan Clothing, also served as a mysterious guestWool weaving innovationThis topic shares new ideas.

 

 

 

At 14:00 in the afternoon, after a short check-in and free exchange, Zhou Gan, senior manager of Zhiyi Technology Guangzhou, took the stage as a special guest host and delivered an opening speech.

 

 

 

Immediately afterwards, Wu Hao, director of market trends of Zhiyi Technology, took data as the entry point.The overall market trend in the first half of 2022 was analyzed and reviewed.

 

 

He said that although from the perspective of sales in the middle of the year, except for underwear and home furnishings, all categories in the clothing industry fell by more than 30%, but compared with the Q1 quarter data, the growth rate has increased significantly, and it showsSlow recoverytrends.

 

Subsequently, Wu Hao used data as the entrance, rightThe key popular styles in the first half of the year were analyzed,French tea dress, American light retroIt is one of the few successful styles in the first half of this yearwhereasFrench new fashion, urban new minimalism, minimalist bohemian, urban collegiate style, outdoor performance style and small fragrance styleThese are the 6 key trends to watch this year.

 

 

A new round of consumption upgrades has made itPrecise marketing methods and customized productsTo become the focus of clothing brand competition, in order to achieve the ultimate in the two, it is inseparable from the support and confirmation of big data.

 

During the event, Chen Shouhuang, director of product operations of Zhiyi Technology, made an in-depth analysisSHEIN's real-time retail growth flywheelto show the important value of big data to the apparel industry.

 

 

He said that apparel companies not only need to pass data in a timely mannerFind out what's trending in style and industry, but also need to pass the dataUnderstand consumer feedbackDiscover what's trending in the marketOnly market estimates made based on big data can more effectively tap the potential of explosive models.

 

For everyone inWool weaving materials and wool weaving technologyThe knowledge blind spot, the mysterious guest of this event, Liu Xiaomei, the head of new media and supply chain of Dayiyan Clothing, also gave a detailed explanation and toWeaving innovationNew ideas were proposed.

 

In the full knowledge of dry goods, everyone is interested inWool design and wool supply chainThere is a deeper understanding.

 

 

Through this event, the audience not only deeply felt the importance of big data to the apparel industry, but also under the detailed data analysis and reviewFrom the sales in the first half of 2022, we have successfully extracted replicable successful experience and lightning protection strategies.

 

 

In the enthusiastic exchange and discussion of the audience, the Guangzhou Station of the Apparel Industry Salon of "Looking at the Trend from Data, the Great Forecast of the Wind Direction of Double 11" of Zhiyi Hui came to a successful conclusion!

 

 

In the future, Zhiyihui will continue to launch a series of online and offline activities.Share high-quality and professional garment industry information to help garment companies gain insight into future trends.Drive the development of the industry with AI, and look forward to meeting next time~

 

· END ·

 

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