L’Oreal, Mondelez, and Nestle use AI to speed product development

2026-07-07 · Source: AI News · Field: Retail & Consumer Goods — Retail Technology & Operations, Consumer Products & Manufacturing, Supply Chain & Distribution · Depth: Fundamental Awareness, medium

Summary

L'Oreal, Mondelez, and Nestle are actively deploying AI to significantly accelerate product development and innovation. L'Oreal has utilized AI in its laboratories for four years, predicting molecule effects on skin and hair, simulating ingredient performance, and achieving a four-fold acceleration in product formulation. This has enabled repurposing ingredients, such as skincare molecules for a collagen-based shampoo. Mondelez employs AI for recipe generation across brands like Cadbury and Oreo, reducing physical sample needs and developing products like Gluten Free Golden Oreo. Their AI tool has led to 60% of biscuit recipes performing better in nutrition, sustainability, and cost, while also enhancing supply chain flexibility. Nestle is using AI to screen natural alternatives for removing artificial colorings by 2026 and partnered with IBM Research in 2025 to develop a generative AI tool for high-barrier packaging material discovery, linking molecular structures to physical properties. These companies emphasize AI's role in compressing development timelines and augmenting human expertise.

Key takeaway

For AI Product Managers or R&D Directors aiming to shorten innovation cycles, integrating AI into early-stage product development offers substantial benefits. You should explore AI-driven predictive formulation and recipe generation to reduce physical testing, accelerate ingredient repurposing, and optimize products for nutrition, cost, and sustainability. This approach can compress development timelines from months to weeks, enhancing market responsiveness and supply chain resilience.

Key insights

AI significantly accelerates product development by simulating ingredient performance and generating optimized formulations.

Principles

• AI predicts molecular effects.
• Digital simulation reduces physical testing.
• AI optimizes recipes for multiple factors.

Method

AI tools generate formulation options or recipe ideas, which human experts then review and refine, reducing the need for extensive physical prototyping and testing.

In practice

• Repurpose existing ingredients with AI.
• Generate diverse recipe combinations.
• Identify alternative supply chain ingredients.

Topics

• AI in Product Development
• Predictive Formulation
• Recipe Generation
• Supply Chain Optimization
• Consumer Goods AI
• Ingredient Discovery

Best for: Executive, CTO, VP of Engineering/Data, Director of AI/ML, AI Product Manager, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI News.