Zhiyi-clothing e-commerce big data analysis tool, focusing on clothing categories, more accurate data, more complete information, and effectively improving the rate of clothing explosion

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2025-08-08

From being cut to SHEIN's core clothing ODM: find the right contribution logic and eat tens of millions of orders

Homogeneous product selection→ discover blue ocean explosive products, explosive imitations are not allowed to → make their own explosive models, as the core supplier of SHEIN, come and take a look at the explosive methodology of senior ODM design directors

SAAS

Love, Tekno Loi, Bigda Tata, Fahion, Ein Fahion, Crossing Industri, Tek Kompani, Innovatian, Tata Analisis, Atifisiar Inteligens, Zhiyi Technology
2025-08-04

Amazon women's clothing designer self-reported: After 8 years in the industry, I finally don't have to choose between plagiarism and slow-selling

Actively embracing and making good use of data tools will bring a "second pair of eyes" to designers.
2025-08-04

Annual sales exceed 1.5 billion yuan! The Guangzhou company uses "replaced" yoga clothes to grab the market from the mouths of big names

Identifying differentiated incisions, localizing content, and diversifying channel risks are the key elements to successfully go overseas.
2025-07-31

When "sustainability" meets "big data": there is a new narrative of category growth × Zhiyi

From single product explosion to category extension, to the perennial domination of the list of major sales festivals...... How does Youkeshu x Zhiyi use big data to gain insight into market trends and efficiently select products and open payments?

SAAS

Zhiyi Technology, AI Technology, Clothing AI Big Data, Head Enterprise
2025-07-17

From ODM factory to annual sales of 3 billion, Inman has stepped out of the new paradigm of "comfort" in the Red Sea women's clothing track

In 2019, Inman reached a cooperation with Zhiyi Technology to integrate clothing big data into product genes and build a scientific path of "pain point mining→ technological breakthroughs→ scene adaptation".

SAAS

Zhiyi Technology, AI Technology, Clothing AI Big Data, Head Enterprises
2025-07-02

×How did the founder of "I can't find clothes I like" make a women's clothing brand with an annual income of 8 billion?

When the apparel industry enters the fierce competition, the cooperation paradigm between MO&Co. and Zhiyi reveals that the real growth does not lie in chasing the outlet, but in using data to dig deep into the veins of user value.

SAAS

AI technology, clothing AI big data, Zhiyi technology, official website SEO, head enterprises
2025-06-19

10 years of clothing people's explosive methodology: the four-dimensional aesthetic positioning behind Douyin's 100 million-level GMV

Through this two-hour in-depth dialogue, we have insight that behind the success is a set of "four-dimensional aesthetic positioning" methodology that skillfully combines market aesthetics, accurate crowd portraits, data feedback and subjective aesthetics.

SAAS
2025-06-19

With 15,000 new models and a sell-out rate of 90%, how does UR use big data to redefine "fast fashion"?

Data, so that UR's fast fashion is no longer just "fast", but "fast and accurate", accurately hitting the ever-changing hearts of consumers.

SAAS

AI, Big Data, Apparel Technology, Zhiyi Technology, Head Enterprises, Technological Innovation, Data Analysis, Intelligent Design, Market Trends, Fashion Industry
2025-06-04

5 pairs of pants leveraged 3.1 billion, and the 36-year-old "men's pants expert" is the age of Chuang

Years of experience in men's wear, coupled with the objective support of big data in clothing, have provided JOEONE with more sufficient "confidence".

SAAS
2025-05-13

The 'Slow Thinking' of Fast Fashion: ONLY's New Selection Methodology

With the maturity of technologies such as AI-generated design, the selection methodology of clothing brands continues to iterate, but the core logic remains the same: measure every inch of consumer demand with data as the yardstick.

SAAS

2025-08-08 SAAS

From being cut to SHEIN's core clothing ODM: find the right contribution logic and eat tens of millions of orders

Homogeneous product selection→ discover blue ocean explosive products, explosive imitations are not allowed to → make their own explosive models, as the core supplier of SHEIN, come and take a look at the explosive methodology of senior ODM design directors

Amazon women's clothing designer self-reported: After 8 years in the industry, I finally don't have to choose between plagiarism and slow-selling

Actively embracing and making good use of data tools will bring a "second pair of eyes" to designers.

Annual sales exceed 1.5 billion yuan! The Guangzhou company uses "replaced" yoga clothes to grab the market from the mouths of big names

Identifying differentiated incisions, localizing content, and diversifying channel risks are the key elements to successfully go overseas.

2025-07-31 SAAS

When "sustainability" meets "big data": there is a new narrative of category growth × Zhiyi

From single product explosion to category extension, to the perennial domination of the list of major sales festivals...... How does Youkeshu x Zhiyi use big data to gain insight into market trends and efficiently select products and open payments?

2025-07-17 SAAS

From ODM factory to annual sales of 3 billion, Inman has stepped out of the new paradigm of "comfort" in the Red Sea women's clothing track

In 2019, Inman reached a cooperation with Zhiyi Technology to integrate clothing big data into product genes and build a scientific path of "pain point mining→ technological breakthroughs→ scene adaptation".

2025-07-02 SAAS

×How did the founder of "I can't find clothes I like" make a women's clothing brand with an annual income of 8 billion?

When the apparel industry enters the fierce competition, the cooperation paradigm between MO&Co. and Zhiyi reveals that the real growth does not lie in chasing the outlet, but in using data to dig deep into the veins of user value.

2025-06-19 SAAS

10 years of clothing people's explosive methodology: the four-dimensional aesthetic positioning behind Douyin's 100 million-level GMV

Through this two-hour in-depth dialogue, we have insight that behind the success is a set of "four-dimensional aesthetic positioning" methodology that skillfully combines market aesthetics, accurate crowd portraits, data feedback and subjective aesthetics.

2025-06-19 SAAS

With 15,000 new models and a sell-out rate of 90%, how does UR use big data to redefine "fast fashion"?

Data, so that UR's fast fashion is no longer just "fast", but "fast and accurate", accurately hitting the ever-changing hearts of consumers.

2025-06-04 SAAS

5 pairs of pants leveraged 3.1 billion, and the 36-year-old "men's pants expert" is the age of Chuang

Years of experience in men's wear, coupled with the objective support of big data in clothing, have provided JOEONE with more sufficient "confidence".

2025-05-13 SAAS

The 'Slow Thinking' of Fast Fashion: ONLY's New Selection Methodology

With the maturity of technologies such as AI-generated design, the selection methodology of clothing brands continues to iterate, but the core logic remains the same: measure every inch of consumer demand with data as the yardstick.