Vestiaire Collective has standardised the main photo of every new listing using Photoroom's AI editing system after a test showed a 5% increase in liquidity.

The luxury resale marketplace split new listings into two random groups. One was processed by Photoroom and the other by an in-house photo clipping tool developed several years ago. Listings edited by Photoroom sold at a higher rate, while product pages drew 3% to 7% more unique views. Bags and shoes showed the strongest gains.

The change applies to the main photo on each new listing before it goes live. Sellers still upload images as usual. The system then removes the background, adds a shadow, centres the item and adjusts lighting by product category.

For bags and shoes, it applies a deeper shadow to make the shape more visible. Clothing photographed flat receives little or no shadow.

The test addressed a central issue for resale platforms, which rely on photography not just for merchandising but also for trust and verification. Vestiaire Collective reviewed several generative AI tools before selecting Photoroom and found that other systems altered product details.

That matters because the marketplace authenticates some items from photographs alone, checking labels, stitching and how light falls on materials. Buyers can also return goods that prove to be counterfeit or have undisclosed faults, making image accuracy both a commercial and operational concern.

"We tested different GenAI solutions, and each time they changed some details. Then it was no longer possible to authenticate from the pictures or to make sure buyers could trust them.

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