AI Accelerated Innovation: L’Oreal, Mondelez, and Nestle Collaborate for Rapid Product Development

L’Oreal is leveraging artificial intelligence (AI) to streamline the development process of its products and discover new applications for existing ingredients in its range. Over the past four years, the renowned French cosmetics company has integrated AI into its laboratories to enhance its capabilities. Fabrice Megarbane, the president of L’Oreal’s consumer products division, shared with Reuters that AI aids in predicting the impact of molecules on skin and hair before incorporating them into new formulations.

The implementation of AI at L’Oreal has resulted in the acceleration of product development timelines. By utilizing predictive formulation techniques, the company can simulate ingredient performance digitally, enabling scientists to evaluate variables efficiently before conducting physical lab tests. This innovative approach is a crucial aspect of L’Oreal’s strategy to incorporate predictive science into the creation of beauty products.

A notable instance of this AI-driven innovation involved repurposing previously used skincare molecules for a collagen-infused shampoo designed to enhance hair volume and fullness. Megarbane highlighted that AI empowers product teams to explore new molecule combinations swiftly and assess their potential benefits. L’Oreal reported that AI has expedited product formulation processes by four times.

Describing AI as a tool to streamline formulation options before physical testing, L’Oreal’s adoption of AI aligns with its broader commitment to innovation following a period of sluggish sales growth. In response, Chief Executive Nicolas Hieronimus introduced a “beauty stimulus plan” to support the development of new products and enhance the company’s agility in responding to evolving consumer preferences across various beauty segments.

Beyond L’Oreal, other major consumer goods companies like Nestle, Haleon, and Mondelez are also integrating AI into their product development strategies. These companies are utilizing AI for tasks such as ingredient testing, recipe generation, and addressing supply chain challenges.

Enhanced Testing Methods in the Food Industry

Mondelez, for instance, is leveraging AI to enhance recipe development across popular brands like Cadbury, Toblerone, Oreo, and Chips Ahoy. The Chief Information and Digital Officer, Filippo Catalano, emphasized that AI enables the generation and testing of diverse recipe options in a more efficient manner.

The AI tool at Mondelez can propose innovative recipe ideas, including unconventional combinations, which are then reviewed by human experts. This approach minimizes the need for extensive physical samples during the product development phase. Mondelez has successfully used the AI system to evaluate recipe options and advance selected formulas through testing stages.

The company highlighted that the AI tool played a pivotal role in developing successful products such as Gluten-Free Golden Oreo cookies and an improved Chips Ahoy recipe. Mondelez reported that 60% of biscuit recipes formulated with the AI tool outperformed in terms of nutrition, sustainability, and cost.

Catalano stressed that AI also helps Mondelez diversify ingredient sourcing by suggesting alternative recipes based on ingredient availability, pricing fluctuations, and specific requirements. This strategic use of AI contributes to recipe optimization and enhances supply chain flexibility.

Challenges in Reformulation

Nestle has committed to eliminating artificial food colorings from its global product range by the end of 2026, following the successful removal of such additives from its US portfolio. Stefan Palzer, Nestle’s Chief Technology Officer, highlighted the extensive work involved in screening natural alternatives, testing them for production suitability, and assessing their shelf life. This initiative aligns with Nestle’s broader efforts to reformulate products across its spectrum of offerings.

Furthermore, the US Food and Drug Administration (FDA) is collaborating with industry stakeholders to phase out six certified color additives commonly used in food by the end of 2027. The FDA is also monitoring industry commitments to eliminate petroleum-based food dyes.

Innovations Beyond Product Development

Barry Callebaut has teamed up with NotCo to explore AI-driven chocolate recipe development, focusing on identifying alternative ingredients. This collaboration utilizes AI to discover and simulate plant-based ingredient combinations for chocolate products.

In another instance of AI application, Nestle and IBM Research jointly developed a generative AI tool in 2025 to identify high-performance packaging materials. This tool evaluates materials designed to safeguard products from moisture, oxygen, and temperature variations, considering factors like cost, recyclability, and functionality.

The packaging project incorporates advanced chemical language modeling and IBM Research’s regression transformer to correlate molecular structures with physical-chemical attributes. Nestle emphasized that the tool was specifically designed to facilitate materials innovation for packaging purposes.

Additionally, Haleon announced a strategic partnership with Microsoft over five years starting in June 2026, encompassing various areas such as consumer insights, product innovation, supply chain operations, scientific research, clinical content development, forecasting, and commercial strategies. This collaboration underscores the growing significance of AI in driving product innovation and operational efficiency.

Catalano highlighted that AI significantly reduces development timelines by expediting tasks that previously consumed months or years. While AI complements human expertise in product development, its primary role is to accelerate existing research, testing, and formulation processes.

Mondelez emphasized that human experts play a key role in evaluating AI-generated recipe concepts before advancing products through the development pipeline.

(Image by AdoreBeautyNZ)

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