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MIND
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Podcast
Reshaping fashion imagery (with Lisa Bagge)
We speak with Fashionlab co-founder Lisa Bagge about how AI is changing image production in fashion and how it can help brands move faster while reducing returns and overproduction.
9 Oct 2025

In this episode, we explore the practical use of AI-generated imagery in fashion with Lisa Bagge, co-founder of Fashionlab. We discuss how brands are adopting new tools across their workflows, from product pages to lookbooks, and how smaller labels can now produce high-quality visuals with limited resources.

Key takeaways

  1. AI helps small brands compete
    ”Smaller brands are reaping the benefits faster,” says Bagge. “They can now produce the same quality of imagery as larger companies, with fewer resources.”
  2. Reducing overproduction through precision
    By using AI to test products earlier and visualise different sizes and styles, brands can avoid unnecessary sampling and reduce waste.
  3. From photoshoots to platforms
    Fashion Lab replaces multiple tools and external teams with one managed platform that mirrors a traditional photo workflow — making AI imagery scalable and on-brand.
  4. New creative possibilities
    AI enables brands to create content that was previously impractical — from showing all body types to producing ethical baby and kids imagery without physical shoots.
  5. A glimpse into the future
    Bagge imagines a time when shopping is handled by personal AI agents: “You’ll ask your AI to find jeans like the ones you saw online, and it will show you how they look on people your size — or even on you.”
Lisa Bagge, co-founder of Fashionlab