L’Oréal Is Using AI For Product Shots of All Shades and Textures
L’Oréal partnered with Pencil and The Brandtech Group to explore how AI could enhance their creative production process across three divisions: Luxe, PPD (Professional Products Division), and CPD (Consumer Products Division), with the brands It Cosmetics, Redken, and L’Oréal Paris. The goal was twofold: to leverage AI for efficiency through automation and templating and to explore AI's potential in creative origination, determining whether AI-generated visuals could match the quality of traditional photoshoots.
The Challenge
L’Oréal wanted to assess whether AI could replace a percentage of product photoshoots while maintaining high creative standards. Specifically, they wanted to focus on different types of product shots and the potential efficiencies gained by transitioning from traditional methods to AI-led image generation.
The Creative
For Redken, we used in-camera product images as references to generate similar visuals in Pencil. This included dynamic imagery like Redken products splashing underwater, bottles being held up against the sky as a background, and Redken bottles wrapped in pink ribbons set against pink backdrops (originally created using CGI).
Our approach started with an ideation phase, generating a variety of AI images using stand-in products. We then refined these with expert prompting, incorporated Redken products, and completed post-production enhancements. In the beauty industry, AI isn’t a one-click solution - it requires craft, expert prompting, and retouching to achieve high-quality results. Finally, we integrated the assets into a template and scaled them across all aspect ratios.
For the Luxe division, AI was used primarily for templating, including resizing and adaptation, significantly streamlining the process. While for L’Oréal Paris, we explored product shots as well as AI’s ability to capture textures and colours, from glossy lips to matte and satin shades of lipstick.
- For Redken, AI saved 167 hours in production and editing time, achieving a 62% time savings compared to traditional workflows.
- For the Luxe division, AI-driven resizing proved to be a major efficiency gain, reducing time spent on adaptation by 90%. The projected annual time saved was 2,600 hours, equating to a 40% reduction in production time.
- For L’Oréal Paris, AI streamlined the process, saving 12.25 hours per project, equivalent to a 65% time reduction.
Conclusion
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L’Oréal Is Using AI For Product Shots of All Shades and Textures
L’Oréal wanted to assess whether AI could replace a percentage of product photoshoots while maintaining high creative standards.
