Artificial intelligence is transforming the way consumer goods companies develop new products. Large corporations such as L'Oreal, Mondelez and Nestlé have integrated AI systems into their laboratories and formulation processes to accelerate innovation, reduce costs and respond more agilely to changes in consumer preferences. This movement is not just a technological trend, but a competitive necessity in a market where speed to market and personalization make the difference.
Instead of relying exclusively on physical trials that can take months, these companies use predictive models to simulate the behavior of ingredients and molecules before producing a single sample. For example, L'Oreal has managed to reduce formulation time by four times by allowing its science teams to explore virtual combinations of assets — even reusing existing components for new applications, such as transforming facial care ingredients into a hair care line with collagen. Mondelez, for its part, uses generative AI tools to propose novel cookie recipes, automatically evaluating factors such as nutrition, sustainability and cost, which has improved the performance of up to 60% of its new formulations. Nestlé has also announced plans to eliminate artificial colorings globally by 2026, relying on AI to identify natural alternatives that maintain product stability and shelf life.
Beyond formulas, AI extends to areas such as smart packaging and supply chain flexibility. Nestlé and IBM Research have developed a generative model that identifies packaging materials with specific barriers against moisture and oxygen, optimizing cost and recyclability. Haleon, meanwhile, has sealed a strategic alliance with Microsoft to integrate AI into consumer insights, innovation and commercial operations. In all these cases, technology does not replace human talent, but rather accelerates the phases of research, testing and reformulation.
For companies that want to adopt similar capabilities without starting from scratch, having a specialized technology partner is key. At Q2BSTUDIO we develop artificial intelligence solutions for businesses that allow integrating AI agents, predictive models and automation into R&D, manufacturing and quality processes. Our team creates custom applications and custom software that connect directly with laboratories, ingredient databases and product management systems, facilitating the simulation and analysis of large volumes of data. Additionally, we offer cloud services on AWS and Azure to deploy these systems in a scalable and secure manner, complemented by business intelligence services that, through Power BI, transform simulation results into actionable dashboards for decision-making teams.
Cybersecurity also plays a critical role when handling proprietary formulas and sensitive consumer data. Therefore, we include cybersecurity in all our implementations, conducting audits and penetration tests to protect intellectual property. The combination of AI agents with AI platforms for businesses allows organizations like L'Oreal or Mondelez not only to accelerate development, but also to explore new frontiers in mass personalization and operational efficiency. At Q2BSTUDIO we understand that each business has unique needs, and that is why we design custom applications that adapt to the real workflows of innovation teams.
