AI for fashion

The 5 key criteria for choosing an ecommerce content creation platform

Lots of tools promise AI product photos. The five points that separate a platform that sells clothes from a pretty-image generator, and what to ask in the demo.

The 5 key criteria for choosing an ecommerce content creation platform

Every week a new tool shows up promising product photos with artificial intelligence. Almost all of them show spectacular results on their website, and almost none show what matters: whether those photos can sell your clothes, every week, with your team.

Choosing badly is expensive, because you pay twice: in the subscription and in the time your team loses fighting the tool. These are the five criteria that define whether a platform works for fashion ecommerce, and how to test them before you sign.

1. Garment fidelity

It’s the first one and the only non-negotiable. The generated image has to respect the real garment: the fabric’s texture, the exact color, the length, the fit, the print exactly where it is. A beautiful photo of a sweatshirt that isn’t your sweatshirt isn’t a product photo: it’s a promise that ends in returns and complaints.

Many general-purpose tools generate “a similar T-shirt.” A platform built for fashion starts from your garment and preserves it.

How to test it: bring your hardest garments to the demo, not your easiest. A print with text, a shiny fabric, a color that usually comes out wrong on camera, a garment with a detail on the back. Compare the generated image with the garment in your hand.

2. Brand consistency

A pretty one-off photo isn’t worth much. What sells is an entire catalog that looks like a single brand: the same models across the collection, settings that match your identity, the same light and tone from photo to photo.

The question is whether the platform lets you define your brand’s style once and apply it to everything you produce, or whether each image starts from scratch and depends on someone writing the request well.

How to test it: generate ten different products and put them together in a grid, as they’d look in your store. If they look like they’re from different brands, you have your answer.

3. Every format your store sells with

A clothing brand doesn’t just need product page photos. It needs the collection’s lookbook, campaign pieces for social, ads in their various sizes and, more and more, video. If the platform solves one format and for the rest you have to go back to a shoot, the savings are gone.

Look at the sizes too: vertical for stories and reels, square for the feed, horizontal for the website, all with the same garment and the same style.

How to test it: ask for the same garment as a product page photo, a campaign image and a video. Check whether the garment changes between formats.

4. Real speed and volume

Every tool is fast for one image. The question is what happens with an entire collection: eighty products, three colors each, in every format. If generating that takes one person a week of work, you didn’t swap the photoshoot for a platform: you swapped it for another bottleneck.

This is also about who runs it. A platform for a fashion team has to be usable by the marketing or product person, without a technician and without learning to write complicated instructions.

How to test it: in the demo, time how long it takes from uploading a garment’s photo to having the final image ready to publish. Then multiply by your catalog. And ask who will run it on your team, and whether that person could do it alone during the trial.

5. How it fits your workflow

A platform that produces well but sits isolated ends up unused. Look at how material comes in and goes out:

  • What it needs as input. Ideally it works with the simple photos you already take when stock arrives (on a mannequin, on a hanger, flat) and doesn’t require a prior shoot.
  • What it delivers. Files ready to upload to your store and channels, with no extra retouching.
  • Usage rights. That the generated images can be used in your store, on social and in paid ads with no strange limits.
  • The price. That it’s predictable per month or by volume, not a surprise for every extra image.

How to test it: ask for the trial to be done with your real photos, the ones you already have, not the demo’s prepared photos.

The questions for the demo

If you want to go in with a short list:

  1. Do you start from my real garment or generate a similar one?
  2. Can I define my brand’s style once and have it applied to everything?
  3. Do you handle product pages, lookbook, campaign, ads and video, or just one?
  4. How long does an entire collection take, and who on my team runs it?
  5. Which photos do I start with, what do you deliver and what does it cost per month?

If a platform answers all five well, it works. If it nails the first and gets tangled in the rest, it’s an image generator, not a production tool.

We go deeper into the fidelity criterion and how the process works under the hood in AI models for clothing, and into what to look for in a broader management platform in what to look for in a platform built for fashion.

What it looks like with Curva

Curva is built around these five points: you upload the photos you already have of your garments, define your brand’s style once, and your team produces photos and videos of the whole collection (product pages, lookbook, campaign and ads) ready to publish. No studio, no shoot and no depending on anyone’s schedule.

If you’re comparing platforms, start now and try it with your own garments.