Facetasm

Not verified. Claim this page

Sustainability Summary

  • This is an unclaimed profile. Facetasm has not joined Sustainability Tracker to verify their sustainability credentials. We gathered what we could from public sources.
Powered by Tracker AI BETA; there may be errors

Facetasm Sustainability Profile

Facetasm is not currently tracking sustainability.

Sustainability Summary

  • This is an unclaimed profile. Facetasm has not joined Sustainability Tracker to verify their sustainability credentials. We gathered what we could from public sources.
Powered by Tracker AI BETA; there may be errors
Facetasm is a Japanese fashion label designed by Hiromichi Ochiai. The available sustainability-related content is limited, but the brand has been involved in a Rakuten project that supported Japanese fashion labels and streamed its fashion show to a wider audience during Rakuten Fashion Week TOKYO 2021 S/S. The brand was also described as a subsidiary of the NCXX Group in 2017, where it was linked to business initiatives involving IoT-related services for the fashion industry. No detailed environmental or social sustainability programme is stated in the source content.

Facetasm Sustainability Actions

Joined Rakuten's by R project

Rakuten will assist Japanese labels Doublet and Facetasm in holding fashion shows during Rakuten Fashion Week TOKYO 2021 Spring/Summer, running October 12-17, 2020. Through this project, Rakuten will hold the Facetasm fashion show on October 16, providing assistance in planning and event management, as well as streaming the shows on its Rakuten Fashion online fashion shopping website.

Show streamed online

By streaming the fashion shows, Rakuten aims to broaden access not only for fashion industry players but also for the wider public, thereby helping to further raise awareness of the labels.

Linked to IoT fashion services

The NCXX Group seeks to form partnerships on developing and popularizing IoT-related services for the fashion industry. The Group envisions a wide range of initiatives, such as converting sales data and online information into a repository of big data and combining this big data with AI to recommend items according to consumer preferences, and applying it to product development.