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    AI Empowerment Promotes The Digitalization And Intellectualization Of Apparel Industry

    2019/11/28 11:25:00 6

    AIClothingIndustryDigitalizationIntellectualizationTransformation

    In November 25th, polar Technology participated in the 2019 star MARS innovation and entrepreneurship competition and stood out from many competitors. Speaking of the star MARS competition, the extremely technical CEO Wu Bin said that there were quite a lot of gains, and a lot of pertinent opinions put forward by a lot of management appraisal teachers helped the company solve the problems encountered and made the company more clear about the future development path.

    Cut pain in the industry

    Clothing is a very traditional industry, Wu Bin's home is a clothing factory business, a better understanding of the pain point in the industry. Clothing itself has special properties. For clothing recognition, unlike face recognition or autopilot, clothing is a non-standard product. It will have a certain impact on different scenes. A garment will show different shapes when folded and put on it. The flexibility of clothing makes the computer very demanding and difficult to identify, which makes Wu Bin see the opportunity.

    The birth process of costume SKU

    In addition, Wu Bin himself studied AI related specialties at Tsinghua University, so he wanted to use AI to transform the apparel industry, help the industry reduce inventory and manpower problems, transform what he knew and learn into usable technology, apply to the floor, and promote the digitalization and intellectualization of the industry.

    In 2017, under the leadership of Wu Bin, Beijing INFIMIND technology was established and focused on the field of AI technology and solutions in the field of fashion.

    Three main products market

    So far, polar technology has been linking up the industry through AI technology, and has formed three main products: AIFashion open platform, ECPro Yi Tong Tong and PIM- clothing brand intelligent planning decision system.

    Three products of polar Technology

    Among them, AIFashion open platform, mainly for the apparel industry to provide one-stop artificial intelligence and technical services. The functional modules include clothing inspection, attribute recognition, fashion intelligence matching, fashion knowledge map, marketing copywriting, etc., and have been widely applied in the fashion field.

    The second product is ECPro Yi Tong Tong. It is an online SAAS system based on artificial intelligence image recognition technology, which provides one-stop service for automatic marking, typesetting, cutting, exporting and loading of goods details page for an electric business enterprise, and completes the main business platform of Tmall, Taobao, Jingdong, many spells, etc.

    ECPro Yi Dian Tong products

    This product solves the pain point of high cost of electricity supplier operation. Before opening a Taobao shop with a lot of weight, you may need to hire copywriters, artists, operators, etc., about 5-10 people and 5 hours to invest in a commodity. With the help of ECPro Yi Dian Tong products, a new commodity on the shelves will be able to complete all the shelves work within 30 seconds under the premise of 1 manpower. This saves 90% of the manpower cost compared to the traditional way.

    The third product is the PIM- clothing brand intelligent planning decision making system, which is optimized and upgraded on the basis of AIFashion. It can capture the latest trends and pictures of the whole network, and structurally combine with the data analysis of electric power providers to assist competitive products analysis, and open up the internal operation data of the brand, so as to help the brand to make intelligent decision making. At the same time, relying on the leading AI capabilities, we integrate human, cargo and field data to enrich user profiles, help brands make accurate sales forecasts, and actively transform into new retail. At present, we have reached a deep cooperation with Korean brands such as Yi house, YISHION and Jiangnan Buyi.

    Choose a good track and clear profit model.

    Up to now, polar technology has completed three rounds of financing, including the 5 million Angel round capital of Jinsha River venture capital in August 2017, the number of tens of millions of yuan PreA round of financing in 2018, and the October 2019 A investment from Sequoia Capital, Turing venture and investment billion. To Wu Bin, it is gratifying to note that in every round of financing, all the old shareholders choose to follow up and support the company's development.

    And the pioneering team of polar technology also comes from famous universities such as Tsinghua University and the people's Congress, and has rich experience in the industry. For example, CTO, a graduate of Xu Cheng, majored in computer science at Tsinghua University and received master degree in network. He participated in the research work of parallel distributed processing and intelligent computer of the fifty-sixth Institute of PLA, and won two awards of military technological achievements with his team. He has many years of experience in large business data and artificial intelligence. Sun Danyang, head of CV, is a master of National Key Laboratory of intelligent technology and systems at Tsinghua University, or a tutor of the big data system course of Data Research Institute of Tsinghua University. AIFashion team won the first place in the preliminary contest of key points recognition of Alibaba competition.

    As for CEO Wu Bin himself, Ben Shuo also studied at Tsinghua University. He majored in computer science, and his master's degree was the State Key Laboratory of artificial intelligence. He has won the honorary title of "outstanding young U30 in Beijing", and is a leading talent in the "SME Leadership Program of the Ministry of industry and commerce". He has won the award of best application case of invidia, and has just won the "Forbes China U30 elite list" this year.

    With the support of capital and technology, extreme technology is developing rapidly. Since 2017, there have been dozens of cooperative clients in the next two years. It is expected that revenue will exceed 15 million mark at the end of the year. This is mainly due to the clear business model of the company. For different scenarios, the products of different technologies are used in different charging modes, such as AIFashion paying mainly by API, ECPro Yi Tong Tong paying by SKU, and PIM system at annual expense.

    In Wu Bin's opinion, choosing a good track and speeding up the pace of developing the market and attracting more talents and resources to join the team is the key to forming the core competitiveness of the company. Compared to the competition of all kinds of image recognition, relying on the vertical subdivision field -- the image recognition technology in the apparel industry, relying on the technology of image recognition, the technology has a higher accuracy and accuracy. Compared with the trend analysis, the company's advantages are reflected in the layout and business of the apparel industry, the ability of data research and development is more powerful, and the market development is more convenient.

    Layout overseas market and developing overseas electronic business platform

    Wu Bin said that the prospect of the clothing industry is still relatively broad. Few companies in the industry are so focused on using AI to empower the fashion industry. Using AI technology to do industry in series, extreme technology will strive for the digitalization and intellectualization of the industry.

    Referring to the next layout, Wu Bin said that he would layout overseas markets and open up overseas e-commerce platforms. Follow up will also layout upstream supply chain.

    "Continue to optimize several of our products, will also focus on our ECPro Yi Tong Tong and PIM system. What we are doing is to narrow the distance between people and goods. Only when people and commodities are close enough, can we perceive the needs of users from the brand end, then design and produce, and effectively reduce inventory. Standing on the user side, if the goods are close enough, a better recommendation algorithm can be used to better connect the goods. In fact, we do this mainly because of the labelling ability of extremely sharp technology, which can label people and label products, thus perceiving people and perceiving commodities. This is a direction for future development. Wu Bin said.

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