Rudy Lai

AI @ Nestlé

Food & beverages (coffee, frozen meals)
Industry
Last updated
July 3, 2025 at 10:44 AM

Summary

  • Nestlé has progressively expanded the adoption of AI and machine learning across multiple facets of its business from 2022 through 2025, demonstrating a clear trajectory from innovative product quality control and R&D enhancement to large-scale digital transformation including sustainability, personalized nutrition, and operational efficiency.
  • Significant investments include a $18.8 million upgrade at its KitKat factory in Australia and the anticipated 2026 opening of a deep tech center in Switzerland, underlining commitment to AI-driven innovation, digital twins, and generative AI tools like NesGPT that boost employee productivity and content creation at scale.
  • Collaborations with partners like IBM have enabled breakthroughs in sustainable packaging using generative AI models, while internal AI-driven initiatives have generated thousands of product ideas rapidly, contributing to Nestlé's $92 billion annual revenue and promoting sustainability and efficiency improvements enterprise-wide.

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8 AI Use Cases at Nestlé

Sustainable Packaging
2025
Traditional
Generative
Agentic
Outcome
Costs
In partnership with IBM, Nestlé uses generative AI and chemical language models to accelerate the development of recyclable, high-barrier food packaging that reduces environmental impact. [1][2]
Recipe Optimization
2025
Traditional
Generative
Agentic
Outcome
Costs
AI helps Nestlé optimize food recipes to reduce ingredient costs, ensure compliance with global regulations, and meet nutritional targets effectively. [1]
Content Creation
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
Revenue
Nestlé deploys generative AI to create high-quality product content at scale for eCommerce and digital media channels, enhancing brand presence efficiently. [1][2]
Operational Efficiency
2024
Traditional
Generative
Agentic
Outcome
Costs
Nestlé implements AI-driven predictive maintenance and generative AI tools like NesGPT to save employee time and reduce operational downtime, boosting overall efficiency. [1][2]
Personalized Nutrition
2023
Customer Facing
Traditional
Generative
Agentic
Outcome
Through partnerships and AI-powered platforms, Nestlé delivers personalized diet and nutrition recommendations tailored to individual consumer needs and preferences. [1]
Marketing Optimization
2023
Customer Facing
Traditional
Generative
Agentic
Outcome
Revenue
Nestlé uses AI platforms to rank and optimize marketing creative, aligning campaigns to audience data and maximizing advertising effectiveness. [1]
Product Innovation
2023
Traditional
Generative
Agentic
Outcome
Revenue
AI and machine learning analyze consumer data and trends to generate new food product ideas and optimize R&D processes, accelerating innovation at scale. [1][2]
Quality Control
2022
Traditional
Generative
Agentic
Outcome
Costs
Nestlé uses AI and deep learning to ensure that products have the correct components and meet quality standards efficiently on the production line. [1]

Timeline

2025 Q4: no updates

2025 Q3

3 updates

Nestlé partnered with IBM to develop AI-driven sustainable packaging solutions using generative AI and chemical language models; AI helps optimize recipes, generate product ideas rapidly, and advance sustainability initiatives.

2025 Q2

4 updates

Nestlé launched AI-powered digital twin services for product content creation and announced a new deep tech center opening in 2026, advancing recipe optimization and sustainability.

2025 Q1

1 updates

Nestlé invested A$30 million (USD 18.8m) to integrate digital and AI capabilities at its Australian KitKat factory.

2024 Q4

1 updates

Strategic integration of AI technology to enhance decision-making and embed intelligence across operational frameworks.

2024 Q3

2 updates

Nestlé's generative AI tool NesGPT saved employees 45 minutes weekly; AI use cases explored focus on operational efficiency and innovation.

2024 Q2

3 updates

Nestlé undertook a significant transformation deploying AI in predictive maintenance, environmental sustainability in coffee production, and enterprise-wide innovation with generative AI.

2024 Q1

1 updates

Nestlé began harnessing AI and data science to address challenges in the transforming food system.

2023 Q4

1 updates

The company explored AI-powered personalized nutrition solutions, leveraging technology from startups like January AI.

2023 Q3

1 updates

Nestlé pioneered broader AI and machine learning integration into diverse operations as part of digital transformation efforts.

2023 Q2: no updates

2023 Q1

2 updates

Nestlé deployed AI for food concept research by analyzing consumer data patterns and implemented AI platforms to rank marketing ads for 15,000 marketers.

2022 Q4

1 updates

Nestlé invested in AI and machine learning to enhance innovation and R&D processes for better product development outcomes.

2022 Q3: no updates

2022 Q2

1 updates

Nestlé began implementing AI for quality control to ensure correct product components using deep learning techniques.