Image AI for Fashion – what it can and can’t do #LTM126

Without the right product images, nothing works. But: different style guides, missing samples, questions around color accuracy, videos - all of that can make costs skyrocket fast. Can AI help? Yes - when it acts as an on-set co-pilot for photographers and models, steering lighting, poses, style-guide compliance, and quality assurance. How this works in practice - and why it’s a real performance lever for fashion brands and sellers - is what Ingrid and Valerie discuss with Gianni Serazzi from Pixelmoda.

Takeaways:

• No GenAI renderings: Items are shot for real; AI optimizes the process.
• 
  
• Costs down, output up: According to Pixelmoda, up to −70% for photos and −90% for videos at consistent “luxury-grade” quality.
• 
  
• Speed in days, not weeks: Turnarounds usually < 5 days, in express cases same day - without compromising color fidelity or consistency.
• 
  
• Scaling without style drift: ≈ 3× more SKUs/day and pixel-perfect execution of Zalando, Amazon & Co. style guides.
• 
  
• Direct business impact: More content noticeably lifts conversion and reduces returns - Pixelmoda typically reports +5–15% sales and −5–20% returns.
• 
  

Who is it for?

Experienced sellers and brand teams (not only in fashion) who treat content ops as a revenue and P&L lever - not a cost center.