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AI-powered fashion coordination app ties up with Japanese leading clothing store chain

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See the original story in Japanese. Tokyo-based Colorful Board, the Japanese startup offering a fashion coordination app leveraging artificial intelligence called Sensy, announced today that it has fundraised 800 million yen (about $7.2 million) from Mic, TSI Holdings (TSE:3608), and Vinx (TSE:3784). The latest funds means that the company has secured a total of more than 1.1 billion yen (about $9.9 million) since the launch. See also: Japanese startup invents fashion coordination app based on artificial intelligence Mic, one of the companies participating in this round, is a subsidiary of Haruyama Holdings which operates a leading men’s clothing store chain across Japan. Coinciding with funding, Mic also announced that it has partnered with TSI Holdings and Vinx. Colorful Board has been working on an AI-powered personalization marketing effort on fashion together with Haruyama Holdings, which is seeing a good result. In addition to strengthen the partnership, the company claims that they will start research and development on suggesting styling tips to users. Translated by Masaru Ikeda

See the original story in Japanese.

Tokyo-based Colorful Board, the Japanese startup offering a fashion coordination app leveraging artificial intelligence called Sensy, announced today that it has fundraised 800 million yen (about $7.2 million) from Mic, TSI Holdings (TSE:3608), and Vinx (TSE:3784). The latest funds means that the company has secured a total of more than 1.1 billion yen (about $9.9 million) since the launch.

See also:

Mic, one of the companies participating in this round, is a subsidiary of Haruyama Holdings which operates a leading men’s clothing store chain across Japan. Coinciding with funding, Mic also announced that it has partnered with TSI Holdings and Vinx.

Colorful Board has been working on an AI-powered personalization marketing effort on fashion together with Haruyama Holdings, which is seeing a good result. In addition to strengthen the partnership, the company claims that they will start research and development on suggesting styling tips to users.

Translated by Masaru Ikeda

Japanese startup invents fashion coordination app based on artificial intelligence

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This is the abridged version of our original article in Japanese. Tokyo-based startup Colorful Board released a fashion coordination app called Sensy on 7 November. The app will “learn” (store in memory) an individual’s fashion preference using artificial intelligence and propose outfits to one’s likings. The Sensy app shows several items, and one can choose “like” or “not like” for each of these. By continuing this process, the artificial intelligence in the app learns one’s preference and generally improves a recommendation’s accuracy. If one finds any favorite fashion item to buy in the recommendation, a person may easily jump into an online store via the app selling that item. The company has allied with over 1,600 fashion brands including those which have not yet been introduced in Japan, so users can gain recommendations regarding a wide variety of available items. Through the machine learning process, the app will come to obtain a fashion sense similar to the one an individual has. By adding “sophistication” from fashion models and stylists to it, the app will assist in the selection of appropriate items, called the Sense Link function. Colorful Board has been developing the core technology using artificial intelligence in partnership with Keio University Professor Dr. Eitaro Aiyoshi and Chiba University Professor Dr. Takashi Okamoto. Patents for this…

sensy_screenshot

This is the abridged version of our original article in Japanese.

Tokyo-based startup Colorful Board released a fashion coordination app called Sensy on 7 November. The app will “learn” (store in memory) an individual’s fashion preference using artificial intelligence and propose outfits to one’s likings.

The Sensy app shows several items, and one can choose “like” or “not like” for each of these. By continuing this process, the artificial intelligence in the app learns one’s preference and generally improves a recommendation’s accuracy. If one finds any favorite fashion item to buy in the recommendation, a person may easily jump into an online store via the app selling that item. The company has allied with over 1,600 fashion brands including those which have not yet been introduced in Japan, so users can gain recommendations regarding a wide variety of available items.

Through the machine learning process, the app will come to obtain a fashion sense similar to the one an individual has. By adding “sophistication” from fashion models and stylists to it, the app will assist in the selection of appropriate items, called the Sense Link function.

Colorful Board has been developing the core technology using artificial intelligence in partnership with Keio University Professor Dr. Eitaro Aiyoshi and Chiba University Professor Dr. Takashi Okamoto. Patents for this technology are pending in the U.S.

Conventional recommendation systems like those adopted on Amazon uses the collaborative filtering approach to produce recommendations, which makes proposals based on preference sets of those who are similar to a user in profile. In contrast, the Sensy app will make recommendations based on one’s preference only so the method will work properly even when recommending brand new or niche items, which are unlikely to be found in the preference sets of other users.

The app design was directed by Daito Manabe, an artist from “video jockey” group Rhizomatiks. This prominent VJ team is known for producing music videos for J-pop music idol unit Perfume.

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