L'Oréal says artificial intelligence has reduced the time required to develop new beauty products by 75 percent, highlighting how AI is reshaping research, product innovation and marketing across the global beauty industry.
Speaking at the Consumer Goods Forum's Global Summit in Vienna, executives from the French beauty company said AI is now playing a central role in accelerating product discovery by helping researchers identify new applications for existing ingredients and simulate product formulations before they enter physical testing.
According to L'Oréal, AI has enabled the company to develop products four times faster than before by predicting how specific molecules interact with skin and hair. One recent application involved identifying skincare molecules that could be repurposed for use in haircare products, allowing researchers to create new shampoo formulations more efficiently.
The company began integrating AI into its research laboratories around four years ago and has since expanded its use across product development, formulation science and digital innovation. AI models help scientists evaluate thousands of molecular combinations simultaneously, reducing reliance on lengthy laboratory testing while accelerating the transition from concept to commercial product.
L'Oréal's AI strategy reflects a broader shift across the consumer goods industry, where companies are increasingly adopting generative AI and machine learning to shorten innovation cycles and respond more quickly to changing consumer preferences. Businesses are using AI not only to improve research efficiency but also to optimise supply chains, personalise consumer experiences and support marketing operations.
Other multinational consumer brands are pursuing similar initiatives. Mondelez has introduced AI tools that assist product developers in creating new recipes and evaluating ingredient combinations while reducing the number of physical samples required during research. Nestlé and Haleon have also expanded AI adoption across product innovation, consumer insights and operational planning.
For L'Oréal, AI adoption extends beyond research and development. The company has invested heavily in AI driven consumer engagement, virtual beauty experiences and content creation while strengthening partnerships with technology providers to expand its digital capabilities. Earlier this year, it broadened collaborations focused on predictive AI and computational chemistry to accelerate scientific discovery across skincare and beauty innovation.
Industry analysts note that AI is becoming a strategic differentiator in the beauty sector as brands seek to reduce development timelines while delivering more personalised products. Machine learning models can analyse ingredient performance, predict formulation outcomes and identify potential product improvements before physical prototypes are created, reducing costs and increasing research efficiency.
The growing use of AI also reflects changing consumer expectations. Beauty companies are under increasing pressure to launch products more quickly while responding to evolving preferences around sustainability, ingredient transparency and personalised experiences. AI allows manufacturers to test multiple scenarios digitally, helping brands adapt more rapidly to market demand.
For marketers, AI is increasingly influencing how beauty brands engage consumers throughout the purchase journey. Companies are using generative AI to create marketing content, power virtual try-on experiences and deliver tailored product recommendations based on consumer preferences and behavioural insights.
L'Oréal's latest update underscores the growing integration of artificial intelligence across research, product development and customer engagement. As AI capabilities continue to mature, beauty companies are expected to deepen investments in technologies that enable faster innovation while supporting more personalised and data driven consumer experiences.