AI Imaging in Marketplaces

Most AI imaging pilots stall, not because the model failed, but because the system around it never changed. Find out what the organizations scaling it successfully are doing differently.

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Key findings

99%

reduction in cost per image

after Decathlon replaced agency workflows with AI-powered batch processing

75%

reduction in editing time at Valuence Japan

from 800 hours to 200 hours per month

+1%

lift in total marketplace listings

(at just 10% seller adoption) at Mercari from a single embedded AI feature

¥12M

saved per year by Valuence Japan

after replacing a 7-person offshore editing team

Live webinar

Go beyond the report

In this 25-minute session, Photoroom's Head of Imaging, Jeff Strauss and Head of Sales & Partnerships, Michelle Belcic, will walk through what it actually takes to move AI imaging from a one-off experiment to a reliable operational capability, drawing on real deployments at leading marketplaces and e‑commerce brands like Mercari, Decathlon, and Valuence Japan.

Watch the recording

What’s inside? A sneak peek

A practitioner's guide to making AI imaging work at scale, from the team powering it for global marketplaces.

Why better models aren't enough

The teams getting the most from AI imaging aren't waiting for a better model. They're fixing the system around it. Learn why AI imaging stalls, and what infrastructure-grade deployment actually looks like in practice.

Real deployments, real numbers

From reduced cost per image to faster time-to-market and measurable lifts in seller participation, the organizations seeing results from AI imaging share one thing in common: they treat it as infrastructure, not a feature. This report draws on deployments across global marketplaces and enterprise catalog operations to show what that looks like in practice.

What most teams get wrong

The blank brief problem.
The assembly-line mindset.
Visual sameness.
These are the three failure modes that show up most often, and none of them are technical problems. Learn what's actually causing them, and how to fix each one.

What it takes to scale AI imaging reliably

The organizations scaling AI imaging reliably all do the same four things:

they define the outcomes that matter
turn brand standards into systems the workflow can actually enforce
embed AI where behavior already happens rather than asking people to change how they work
and establish governance before something goes wrong rather than after.
Discover the operating principles behind the strongest implementations.

Photoroom Intelligence

Ready to move from pilot to operational infrastructure?

Download the full report and learn how leading marketplaces and enterprise brands are building AI imaging into the core of their operations, with the speed, consistency, and governance to make it last.

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