Artificial intelligence is rapidly changing how consumer goods companies develop new products. Instead of relying solely on lengthy laboratory testing and trial-and-error experimentation, major global brands are using AI to evaluate ingredients, generate product ideas, and optimize formulations before physical testing even begins.
Companies including L’Oréal, Nestlé, Mondelez, Haleon, and Barry Callebaut are integrating AI throughout their research and development processes, helping bring new products to market faster while reducing costs and improving efficiency.
L’Oréal’s AI-Powered Beauty Research
L’Oréal has spent several years incorporating artificial intelligence into its research laboratories to streamline cosmetic product development.
Using predictive AI models, the company can analyze how specific molecules are likely to interact with skin and hair before scientists begin creating physical formulations. This virtual testing allows researchers to evaluate numerous ingredient combinations digitally, eliminating many unsuccessful options before laboratory work starts.
One example involved ingredients that had previously been used only in skincare products. AI helped identify their potential application in a collagen-based shampoo formulated to improve hair volume and fullness.
According to the company, this predictive approach has significantly accelerated formulation development, allowing product teams to work much more efficiently than with traditional methods alone.
Faster Innovation Through Predictive Science
Rather than replacing laboratory testing, AI serves as an intelligent filtering system.
Scientists can simulate thousands of possible formulations, narrowing the field to the most promising candidates before investing time and resources into physical experiments. This approach reduces research cycles while enabling teams to explore combinations that may have been overlooked using conventional methods.
As consumer preferences evolve rapidly across the beauty industry, shortening development timelines has become an important competitive advantage.
Mondelez Uses AI to Reinvent Food Products
Mondelez is applying AI to recipe development across many of its well-known brands, including Oreo, Cadbury, Toblerone, and Chips Ahoy.
Instead of relying exclusively on traditional food science processes, the company’s AI platform generates numerous recipe possibilities—including unconventional ingredient combinations—that researchers can evaluate before creating physical samples.
Human experts remain responsible for reviewing every AI-generated concept, but the technology substantially reduces the number of recipes that need to be manufactured and tested.
This has helped streamline innovation while lowering development costs.
Better Recipes With Fewer Physical Samples
The company’s AI tools have already contributed to products such as Gluten Free Golden Oreo cookies and an updated Chips Ahoy recipe.
Beyond creating new products, the technology also evaluates formulations based on multiple objectives, including nutritional value, sustainability, manufacturing cost, and ingredient availability.
According to Mondelez, many AI-assisted recipes outperformed traditional formulations across several of these categories, demonstrating how machine learning can improve both efficiency and product quality.
Strengthening Supply Chain Flexibility
AI is also helping Mondelez respond to supply chain disruptions.
When ingredient shortages or price fluctuations occur, AI systems can quickly recommend alternative formulations that maintain product quality while reducing dependence on a single supplier.
This capability enables the company to adapt recipes more quickly without restarting the entire development process, improving resilience in an increasingly unpredictable global supply chain.
Nestlé Applies AI Beyond Food Formulation
Nestlé is leveraging artificial intelligence for multiple research initiatives, including product reformulation and packaging innovation.
The company is working toward eliminating artificial food colorings across its global product portfolio, a process that requires identifying natural alternatives, testing manufacturing performance, and ensuring products maintain quality and shelf life.
AI enables researchers to evaluate far more ingredient combinations than would be practical through manual experimentation alone.
Smarter Packaging Design
Nestlé has also partnered with IBM Research to explore AI-driven packaging development.
Using generative AI and advanced chemical modeling, researchers can predict how different packaging materials will perform under various environmental conditions while balancing durability, recyclability, production costs, and product protection.
Instead of relying solely on extensive physical testing, AI allows scientists to simulate material performance before prototypes are manufactured.
AI Expands Across Consumer Goods
The use of AI in product development extends well beyond these companies.
Barry Callebaut has partnered with NotCo to develop chocolate recipes using AI-generated ingredient combinations, while Haleon has entered a long-term collaboration with Microsoft to support product innovation, consumer insights, forecasting, scientific research, and supply chain optimization.
Across industries, AI is increasingly becoming an essential tool for accelerating research and helping companies respond more quickly to changing customer demands.
Human Expertise Remains Essential
Despite its growing role, artificial intelligence is not replacing research and development teams.
Instead, AI functions as a decision-support tool that assists scientists by generating ideas, evaluating ingredient combinations, and identifying the most promising options for further investigation.
Human experts continue to validate AI recommendations, conduct laboratory testing, ensure regulatory compliance, and make final product decisions before anything reaches consumers.
The Future of AI in Product Development
As AI models become more sophisticated, their influence on consumer product innovation is expected to grow.
From cosmetics and food products to pharmaceuticals and packaging materials, artificial intelligence is helping companies shorten development cycles, reduce experimentation costs, and make more informed research decisions.
Rather than replacing scientific expertise, AI is becoming an increasingly valuable partner in the innovation process, enabling organizations to bring better products to market faster while maintaining the oversight and creativity that only human researchers can provide.
Source: https://www.artificialintelligence-news.com/news/ai-product-development-loreal-mondelez-nestle/
