Build It Series: Harnessing Truthful Data & AI in Fashion Fit Tech with Katy Schildmeyer

Venturing into Fashion Tech

Fashion's Fit Dilemma:
Today's episode features fashion garment technologist and fit expert Katy Schildmeyer. As online shopping increases, the challenge of ensuring accurate garment fit remains ever-present. Katy and Peter Jeun Ho discuss the pressing need for enhanced fashion education, particularly in the communication of fit and the creation of garments that cater to all body types, including the aging population. They reflect on the historical transformation from shopping experiences of the 90s, to the rising return rates in online retail today which can be more than 30% for some fashion brands.
Ensuring Data Integrity to Find the Fit Truth:
The interview examines the integration of AI into fashion tech. Accurate data is crucial, and Katy emphasises the importance of truthful data in training AI models to avoid misguided innovations. We spotlight industry leaders like COS, Tapestry, and Japanese denim companies, commending their practices towards better fitting products. But how does one find the truth in fit? Find out in this episode.
Connect with Katy: linkedin.com/in/katherineschildmeyer
Katy features Beyond Form startup AIMIRR in her research: aimirr.com

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The show is recorded from Beyond Form, a fashion tech innovation platform. We build, invest, and educate fashion tech entrepreneurs and startups. We’d love to hear your feedback, so let us know if you’d like to hear a certain topic. Email us at [e-mail]. If you’re an entrepreneur or fashion tech startup looking for studio support, check out our website: beyondform.io

अध्यायों

1. Venturing Into Fashion Tech With Katy (00:00:00)

2. Updating Fashion Education and Fit (00:09:02)

3. Navigating Fashion Tech Innovation and Data (00:15:04)

4. Evolving Perspectives on Garment Fit (00:23:00)

5. The Future of Fashion Technology (00:32:03)