I’m building LoomaDesign to help ecommerce sellers create better product visuals
I’m building LoomaDesign, an AI product visual tool for ecommerce sellers and small content teams.
The problem I keep seeing is pretty ordinary: a seller may have one decent product photo, then needs that same product to work across a Shopify product page, Amazon listing images, A+ content, ads, seasonal campaigns, thumbnails, and lifestyle scenes.
Generic AI image tools can create nice-looking pictures, but ecommerce images have a stricter job. The product still needs to look accurate. Shape, color, label, material, scale, and included parts all matter because buyers use the image to decide whether they trust the product.
So I’m trying to make LoomaDesign more workflow-based:
clean up or enhance weak source product images
create white-background or neutral product-first images
generate lifestyle scenes that keep the product believable
support Amazon and Shopify visual workflows
help sellers think through PDP and listing image quality instead of only making pretty outputs
I’ve also been writing practical guides around the problems I’m seeing while building:
Right now I’m working on tightening the positioning around product visuals, image enhancement, backgrounds, and Amazon PDP workflows. The product is still early, and I’m especially interested in feedback from founders who sell physical products, run Shopify stores, manage Amazon listings, or have tried to use AI images for ecommerce content.
The question I’m trying to answer is this:
When you use AI for product images, what is the part that still feels risky or annoying?
For example, is it product accuracy, background quality, image resolution, marketplace rules, workflow time, or knowing which image to use in which part of the product page?
Any blunt feedback is useful. I’m trying to build this around real seller problems, not around AI image demos that look good but never make it onto a product page.
