We talked to 50+ fashion wholesalers about catalog photography. Here's what we found
When we started building Stampic, we thought the problem was simple: fashion brands need better product images, AI can generate them, done. We were wrong about what the real problem was.
After talking to wholesalers across Spain, France and the rest of Europe, the same conversation kept coming up. It wasn't about image quality. It was about dependency.
Here's what a typical catalog season looks like for a mid-size wholesaler managing 300+ references:
Book the photographer 3-4 weeks in advance.
Coordinate the studio, the models, the styling.
Wait 1-2 weeks for edited images to come back.
Realise two references changed and the whole process starts again.
By the time the catalog is ready, the season has already started.
We also found something surprising about existing AI tools. Most wholesalers who had tried them said the same thing: "The images look great, but that's not our garment." Wrong color. Different texture. Details that don't match what they're actually selling.
For a lookbook or a campaign, close enough works. For a catalog where customers are ordering based on what they see, close enough is a returns disaster waiting to happen.
That's the problem Stampic is built to solve. Not just faster images. Images of the actual garment ( same fabric, same color, same detail) without coordinating a single photoshoot. We're launching on Product Hunt soon.
But before we do, I'm curious:
If you work in fashion, wholesale, or ecommerce — how are you currently handling catalog photography? Has AI actually helped or just added a new layer of frustration?
Would love to hear from people who've been through this.
Replies