Case study: AI product photography for a cosmetics e-shop

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.

The brief and the context

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.

The solution

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.