Drawing Clothes AI: Clothing AI panel design tool, intelligent clothing design and production solutions

General Introduction

Drawing Clothes AI is an intelligent tool focusing on clothing design and paneling developed by Hangzhou Shentu Intelligent Technology Co. It provides advanced AI technology to help apparel designers and enterprises improve design efficiency and accuracy. With Drawing Clothes AI, users can easily complete apparel paneling, design and modification work, greatly shortening the design cycle and improving production efficiency. The website also provides detailed usage tutorials and customer support to ensure that users can quickly get started and make full use of the tool's features.

Function List

• AI boarding: Utilizing artificial intelligence technology to automatically generate apparel beater boards to improve beater board accuracy and efficiency.
• Design Aid: Provide a variety of design templates and materials to help designers quickly complete their designs.
• Modification Tools: Supports quick revisions and adjustments to the design to meet individualized needs.
• Online Preview: Real-time preview of the design effect, convenient for users to make adjustments and optimization.
• Customer Support: Provide online customer service and detailed tutorials to help users solve problems encountered in the process of use.

Using Help

Installation process

Painting Clothes AI does not require installation, users just need to visit the official website and register an account to use it. Here are the detailed steps to use it:

1. Register for an accountVisit the official website of AI, click on the "Register" button and fill in the relevant information to complete the registration.
2. Login account: Log in to the site using your registered account and password.
3. Selection Functions: After logging in, users can select the function modules they need to use on the homepage, such as AI boarding, design assistance, etc.
4. Upload Material: Upload design materials as needed, or choose from the templates and materials provided on the website.
5. start designing: Use the tools provided on the website for designing and boarding, and preview the design in real time.
6. Save and Export: Once the design is complete, you can save the design to your account or export it to the desired format.

Main function operation flow

AI boarding

1. Selection of plate beating function: Select the "AI Board" function on the home page.
2. Upload a design: Upload the design drawings that need to be punched, and the system will automatically generate the punching plan.
3. Adjustment of beating parameters: Adjust the punching parameters, such as dimensions, ratios, etc., as needed.
4. Preview and ConfirmationPreview the boarding effect in real time, and save or export the boarding file after confirming that it is correct.

Design Aid

1. Select a design template: Select the appropriate design template in the "Design Aids" module.
2. Adding Design Elements: Add design elements such as patterns, colors, etc. as needed.
3. Adjustment of design details: Adjust and optimize design details using modification tools.
4. Preview and Save: Preview the design effect in real time and save the design after confirming that it is correct.

Modification Tools

1. Select Modify Function: Select the "Modify Tools" function on the home page.
2. Upload Designs: Upload the design that needs to be revised.
3. carry out modifications: Use the modification tools to make adjustments to the design, such as modifying colors and patterns.
4. Preview and Confirmation: Preview the modification effect in real time, and save or export the modified design after confirming that it is correct.

Customer Support

Painting Clothes AI provides comprehensive customer support services including online customer service, usage tutorials and FAQs. Users who encounter any problems during the use of the program can seek assistance through the website's customer service system or consult the tutorials and FAQs provided on the website.

In-depth analysis of AiYiYi

AI cracks clothing pain points, 72 hours out of the sample clothes, efficiency soared 10 times, received tens of millions of dollars in financing

Founded in 2023, Zhejiang DeepService Artificial Intelligence Technology Co., Ltd (DeepService) has recently completed a Pre-A round of financing of tens of millions of dollars, led by Shanghai Houyi Capital. The financing will be used for model development, technical team expansion, and market expansion, and in March 2024, the company has completed an angel round of financing led by Kunxin Investment.

DeepClothing is a service provider that offers "AI + apparel design" large model solutions. The service provider is committed to research and development of original AI technologies such as deep learning, image recognition and computer vision, which play a role in the whole process of apparel production, involving apparel design, pattern making, line modification, etc. The aim is to improve the efficiency of each link, and at the same time, reduce the threshold of design and research and development costs, which will have an impact on the traditional design ecology of the apparel industry.

Mustache Wu, the founder of DeepClothing, has been working in the apparel design industry for nearly a decade. During this time, he has accumulated a wealth of resources in the apparel supply chain, and is a successful serial entrepreneur, the core members not only have senior experience in the apparel design industry, but also worked for Tencent, Google and other technology giants.

How is AI revolutionizing apparel design and pattern making?

Apparel pattern making is an important part of apparel production, associated with the transformation of creativity, the determination of the production process, and the quality, shape and comfort of the finished product and other elements. According to relevant data, theChina Apparel Platemaking Industry market size is estimated to be RMB 120 billion in 2023, growing 8.51 TP3T compared to the same period last year.

In the traditional clothing production process, design and pattern making are usually handled by different personnel, with designers focusing on creativity and pattern makers taking on the task of transforming the design into an actual product, a difference between artistic and engineering thinking that often leads to inefficient communication. DeepService Technology launched the "Clothesmaker" and "Splendid Thousand Designs"Two big AI models that dramatically optimize the process through neural network technology.

The "Drawing Clothes AI Patternmaking Tool", which will be available for trial in January 2025, is of particular interest. The tool automates the entire process from design to sample making.Reduced time from creative conception to delivery of finished product to 72 hours.It is reported that this tool is not only able to generate high-precision CAD layout, but also significantly improve the design efficiency, allowing designers to complete the past ten times the workload in one day.

The application of AI technology in the apparel industry is not a quick fix, and its landing needs to be combined with the depth of specific business scenarios. DeepClothing Technology relies on high-quality data to train models that can cope with the non-standardized characteristics of apparel design. As founder Mustache Wu said, "The same style map may generate multiple versions, AI needs to deeply understand the professional logic of the plate-making process."

In addition, SZST is also exploring new scenarios for the application of AI plate-making technology. For example, through the cooperation with the head of the Internet platform and clothing brands, to promote the digital upgrading of clothing design and production, to provide technical support for the future "on-demand production" mode. This not only reduces industry waste, but also better meets the personalized needs of consumers.

From intelligent plate making to the exploration of industrial upgrading

In 2018, Mustache Wu and his wife opened Zhejiang Ruyue Clothing Design Co., Ltd. with love and business sense, the company's rapid development, with more than thirty designers, pushing more than 5,000 kinds of styles each year, part of the explosion into the models, in the industry has a certain market share.

With the expansion of business, he found that low production efficiency, complex supply chain management, changing consumer demand and other industry pain points are difficult to solve. 2022, he led the team to develop the prototype of DEJAAI apparel design software and applied it to Ruyue Design to achieve results. 2023, he established Hangzhou Shentu Intelligent Technology Co., Ltd. to integrate the resources and concepts of Ruyue Design into the AI algorithms training to build the Profit model and high threshold; at the same time, he founded Zhejiang Deep Service Artificial Intelligence Technology Co. to promote industrial upgrading.

The three companies set up by Mustache Wu, Ruyue Design, Deep Map Intelligence and Deep Clothing Intelligence, provide AI digital solutions for the apparel industry along with their own digital transformation.

In terms of inventory control, he believes that traditional enterprises rely on experience, Internet enterprises rely on data, data is more reliable, and plans to control inventory through data analysis to predict situations such as pop-ups.

The world's first AI plate-making technology developed by the team led by Mustache Wu is based on the "Artisan Clothing" apparel industry-specific AI model independently developed by Deepmap Intelligence, which utilizes millions of images of ready-to-wear garments, millions of professional labels and huge data analysis to generate apparel design solutions with one key through the graph-born or text-born diagrams, which can be edited and modified, and also create new elements to inspire designers to solve problems related to designers. It can be edited and modified, and can also create new elements to stimulate inspiration and solve problems related to designers.

In the fabric matching can show the effect of the upper body to promote cooperation and supply chain management optimization to reduce costs; plate making to improve the accuracy to reduce errors to reduce costs and improve efficiency; supporting the intelligent central sample workshop within 72 hours to complete the sample production to facilitate the verification of the design effect.

concluding remarks

The next iteration of the apparel industry may revolve around "manufacturing determined by consumer demand", and the innovation of AI technology in design and pattern making is accelerating the pace of the traditional industry's transformation to digitalization. However, challenges remain: how can AI better understand the creativity of designers? How to seamlessly connect with the existing production chain? The solution to these problems will determine whether the technology can really land.

In the future, the role of AI in the apparel industry may not only be to improve efficiency, but also to provide a solid technological foundation for the next generation of consumer scenarios. This is not only about the depth of the application of technology, but also about how traditional industries can redefine themselves in the wave of digitization.