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.


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
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

Real deployments, real numbers

What most teams get wrong

What it takes to scale AI imaging reliably


