The marketing engine was warm before the product launched.
Bambuyu wanted product renders instead of a traditional shoot. The catch was that the products were not finalized yet. We edited the source images and rendered everything from there.
What we did
Bambuyu wanted product renders instead of a traditional shoot. The catch was that the products were not finalized yet. So we edited the work-in-progress source images and rendered everything from there.
By the time the product launched, the marketing engine was already warm.
Edit, then render
Edit-then-render is something a traditional product shoot literally cannot do. You cannot photograph a product that does not exist in its final form yet. We could.
We took the work-in-progress imagery, edited it to match the final design intent, then ran the render pipeline against it. The output looks like a finished launch shoot, except it landed before manufacturing did.
It is the workflow, not the cost
Most posts about AI product photography lead with speed or cost. The actual story is workflow. You do not need the final product to make the final imagery. The product and the imagery iterate in parallel, instead of one waiting on the other.
Bambuyu got to start advertising and showing the brand world before they had final units.
By the second iteration, we are about ninety-five percent there.
Sahar Karoubi, Co-Founder, Bambuyu
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