Last week, I was having dinner with a client who had switched to AI-generated product images a while ago. “Bob,” she said, leaning forward conspiratorially, "let me show you something." She pulled out her iPhone and showed me two identical-looking images side by side. “Can you guess which one cost me $300 and which one we generated for $10?”
I tried really hard, but I couldn't tell the difference. And neither did her customers, it seems. Sales figures didn’t change, even though her image costs decreased by 87%.
But then, she showed me another pair of images. This time, I could easily spot the AI-generated image. Light reflections didn’t look natural, and the product itself seemed slightly warped around one of its edges. “This happens about 25% of the time,” she sighed.
Jane’s experience illustrates the current state of AI-generated product images: huge growth potential for e-commerce businesses, coupled with real challenges.
Texture and Material Challenges
AI-powered image generation platforms have a hard time trying to create complex objects, materials, and textures that interact with light in consistent ways. So, if your store sells materials with intricate patterns, for example, you will need to spend quite a bit of time perfecting your image generation prompts. Additionally, you will probably need to edit at least some of the generated images.
Consistency Challenges
If you have a large product catalog, it will not be easy to maintain perfect consistency across all your products.
It is known that even with identical prompts, AI platforms may generate image sets with subtle light variations and even different perspectives.
To minimize some of these problems, tell the AI what lighting setup it is supposed to replicate, the exact camera angles, and so on. Generate 5-10 times more images than needed, and then pick the winners; you’re still going to get a much higher ROI compared to traditional product photography.
Learning Curve Challenges
As mentioned above, getting exceptional AI-powered product images is an art in itself. Clever prompts will lead to great images, though a 100% success rate is not possible with the technology we’ve got in our hands now.
Many business owners are disappointed when they feed generic prompts into a GPT, and then get mediocre outputs out of it. Real AI-powered image generation success comes from effective prompts and dedicated image generation models that are fine-tuned on specific products/merchandise.
Product Detail Challenges
AI can generate great-looking images, but sometimes it is unable to reproduce details correctly. Poor text, skewed buttons, and oversized product elements are just a few of the areas that need to be improved in future AI image generation models.
Smart e-commerce owners use a hybrid approach, combining traditional hero photos that include all the needed details with AI-generated backgrounds.
Unreal Models Challenges
Though most AI-generated models look beautiful, some of them feel off. It’s hard to explain the feeling, but once you’ve seen a beautiful model with six-fingered hands you’re going to understand what I’m talking about.
Anatomical imperfections, and sometimes even unnatural poses, can turn people off fast, rather than enticing them to buy.
Dealing with Challenges
Despite these issues, it’s clear that AI-generated images are becoming an essential tool for businesses that are selling products online. They may not replace traditional photography completely for now, but they have become a powerful e-commerce tool for sure.