Case study: AI product photography for a cosmetics e-shop
An illustrative example of how AI content replaced repeated photoshoots and brought a consistent visual identity across seasons.
The example is illustrative and generalises a typical engagement. Actual results depend on the product and the market.
A small cosmetics e-shop faced a familiar problem: every new season and every new variant meant another photoshoot — studio, stylist, model, location. Costs grew faster than the catalogue, and the visuals looked slightly different each time.
What the brief was
The goal was not to "make images" but to keep a consistent brand look across a fast-changing range. So we first mapped the e-shop's visual language: colours, light, composition style, tone. That context became the guardrails for generation.
How we solved it
Using generative models we produced product and lifestyle shots with a consistent palette and lighting. For recurring scenes we established a reference setup so that each new batch of visuals matched the previous ones.
- Background variants and seasonal campaigns without a new shoot.
- A consistent brand "face" across products.
- Clear labelling of AI content in line with platform rules.
The benefit
The shop could now prepare visuals for a new product in hours rather than weeks, at a fraction of the cost of classic production. More important than the saving, though, was consistency — visitors perceive the brand as one continuous story, and that builds the trust that translates into conversion.
How we work, and what that gives you
In image production we hold to two things: one visual identity across a series, and saying openly that the content was made with AI. Both are part of the brief rather than an afterthought.
If you need product content at volume, get in touch. There is more on our services page.
Are you solving something similar in your company?
I want a free consultation