Personalization and operational optimization through AI and experience data
First written in FY2022. 3 of 5 entries say "Advanced", first in 2026-05-15. Latest entry: FY2026.
4 other companies' latest entry also says "Restated".
- FY2026RestatedAnnual report
「By converting the various types of data collected through our operations into metrics, we use them in the PDCA cycle to improve service quality, including styling accuracy, customer-stylist matching, inventory optimization, logistics efficiency and procurement cost optimization. For example, while operating the service, we collect more than 1.2 million items of experiential data and more than 400,000 items of styling data annually.」
The company reaffirms its longstanding policy and scale of collecting experience and styling data for use in AI and data applications. - FY2022First statedAnnual report
「By converting the various types of data collected through our operations into metrics, we use them in the PDCA cycle to improve service quality, including styling accuracy, customer-stylist matching, inventory optimization, logistics efficiency and procurement cost optimization. For example, while operating the service, we collect more than 1.2 million items of experiential data and more than 400,000 items of styling data annually.」
The company collects not only purchasing data but also experiential data, such as customers' impressions after wearing the items, and uses it in its services and operations.