L’Oreal is using AI to shorten product development timelines and identify new uses for ingredients already present in its portfolio.
The French cosmetics group has applied AI in its laboratories for the past four years, with Fabrice Megarbane, president of L’Oreal’s consumer products division, telling Reuters that the technology helps the company predict how molecules will affect skin and hair before they are used in new formulations.
L’Oreal has separately said its predictive formulation work can simulate ingredient performance, allowing scientists to test variables digitally before lab testing. The company has described the work as part of its use of predictive science in beauty product development.
One recent example involved molecules previously used in skincare products. L’Oreal repurposed them for a collagen-based shampoo designed to add lift and fullness to hair.
Megarbane said AI allows product teams to test new combinations of molecules and assess their potential benefits more quickly. L’Oreal said AI has made product formulation four times faster.
L’Oreal has described the technology as a way to narrow formulation options before lab testing. Its use of AI sits alongside a broader innovation push after the group reported its slowest sales growth in years.
Chief Executive Nicolas Hieronimus introduced a “beauty stimulus plan” last year to support new product development. The company has been looking to accelerate launches as consumer tastes continue to change across beauty categories.
Other consumer goods companies, including Nestle, Haleon, and Mondelez, are also using AI in product development. Their work includes ingredient testing, recipe generation, and efforts to address supply chain issues.
Faster testing in food
At Mondelez, AI is being used to support recipe development across brands including Cadbury, Toblerone, Oreo, and Chips Ahoy. Chief Information and Digital Officer Filippo Catalano said the technology helps the company create and test recipe options more efficiently.
The company’s AI tool can generate recipe ideas, including unusual combinations, before human experts review them. Catalano said this can reduce the number of physical samples needed during product development.
Catalano said the tool is reducing the number of samples typically generated during product innovation. Mondelez uses the system to assess recipe options before selected formulas move further through testing.
Mondelez said the tool supported the development of Gluten Free Golden Oreo cookies and a refreshed Chips Ahoy recipe. The company said 60% of biscuit recipes produced with its AI tool performed better across nutrition, sustainability, and cost.
Catalano said AI can also help Mondelez reduce dependence on single sourcing by identifying alternative recipe options when ingredients vary by availability, price, or other requirements. The company has linked the tool to recipe optimisation as well as supply chain flexibility.
Reformulation adds…
Source link
Disclaimer
We strive to uphold the highest ethical standards in all of our reporting and coverage. We blogs.grocliq.com want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.
Website Upgradation is going on for any glitch kindly connect at [email protected]
