Rudy Lai
黎
卓
生
rudyl.aiAI market researchALPHA

AI @ Nestlé

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

Summary

  • Nestlé has steadily increased adoption of AI across operations from 2022 through mid-2025, with significant investment including a A$30m digital and AI integration at its KitKat factory and plans for a deep tech center opening in 2026.
  • AI applications at Nestlé evolved from quality control and R&D enhancements to advanced uses such as generative AI for creative marketing, predictive maintenance, sustainability-focused packaging innovations in partnership with IBM, and AI-powered digital twins for product content.
  • The company reports measurable productivity benefits, such as saving employees 45 minutes per week via its generative AI 'NesGPT' tool, and an overall strategic drive to leverage AI for sustainable growth, improved innovation speed, cost reduction, and better customer experiences.

VIBE METER

More AI announcements = more VIBE
Q1 23Q2 23Q3 23Q4 23Q1 24Q2 24Q3 24Q4 24Q1 25Q2 25Q3 25🔥🔥🔥🔥

8 AI Use Cases at Nestlé

Sustainability Innovation
2025
Traditional
Generative
Agentic
Outcome
Costs
Partnering with IBM, Nestlé uses generative AI and chemical language models to design sustainable, recyclable packaging materials that meet cost and performance goals, accelerating eco-friendly product development. [1]
Content Generation
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
Nestlé has deployed in-house AI platforms to create high-quality, scalable product content and digital twins for eCommerce and media channels, improving marketing efficiency and customer engagement. [1]
Employee Productivity
2024
Traditional
Generative
Agentic
Outcome
Costs
Nestlé's generative AI tool 'NesGPT' automates routine tasks, saving employees on average 45 minutes per week, thereby enhancing workforce productivity. [1]
Predictive Maintenance
2024
Traditional
Generative
Agentic
Outcome
Costs
Nestlé employs AI and predictive models to monitor machinery health and predict maintenance needs, reducing downtime and operational costs. [1]
Personalized Nutrition
2023
Customer Facing
Traditional
Generative
Agentic
Outcome
Using AI tools developed with external partners, Nestlé explores personalized nutrition by analyzing individual dietary needs and tailoring products accordingly. [1]
Creative Optimization
2023
Customer Facing
Traditional
Generative
Agentic
Outcome
Revenue
Nestlé applies AI to rank and evaluate marketing creatives based on suitability for different digital channels, enabling more effective campaigns faster. [1]
Innovation Acceleration
2023
Traditional
Generative
Agentic
Outcome
Revenue
AI and machine learning models help Nestlé generate new product ideas rapidly by analyzing consumer data and preferences, shortening R&D cycles and boosting product development efficiency. [1][2]
Quality Control
2022
Traditional
Generative
Agentic
Outcome
Risk
Nestlé uses AI and deep learning to analyze product components during manufacturing to ensure accurate scoop counts and ingredient composition, improving product quality and consistency. [1]

Timeline

2025 Q3

5 updates

Collaboration with IBM develops generative AI tools for sustainable packaging innovations focusing on recyclable, cost-effective, high-barrier materials; ongoing integration of AI in recipe optimization, content generation, and sustainability initiatives.

2025 Q2

4 updates

Launch of AI-powered digital twins and content creation platforms for eCommerce; planning a deep tech center in Switzerland to advance AI, robotics, and precision technologies.

2025 Q1

1 updates

Significant capital investment of A$30m ($18.8m) in digitizing and integrating AI at the KitKat factory in Campbellfield, Australia.

2024 Q4

1 updates

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

2024 Q3

2 updates

Nestlé reports generative AI tool 'NesGPT' saving employees 45 minutes weekly, illustrating productivity gains; further AI adoption to enhance operations.

2024 Q2

3 updates

Major transformation underway with AI for predictive maintenance, environmental challenge mitigation in coffee production, and broad deployment across business units to enhance consumer value.

2024 Q1

1 updates

Nestlé leverages AI and data science to address food system transformations and drive efficiency improvements.

2023 Q4

1 updates

Exploration of AI-powered personalized nutrition using technology from January AI, aiming at deeper consumer dietary insights.

2023 Q3

1 updates

Nestlé continues pioneering AI and machine learning integration across various operations, enhancing decision-making and operational efficiencies.

2023 Q2: no updates

2023 Q1

2 updates

AI used for consumer preference pattern analysis in food manufacturing and to rank advertising creatives for 15,000 marketers.

2022 Q4

1 updates

Investment in AI and machine learning expands towards improving innovation and R&D processes across the business.

2022 Q3: no updates

2022 Q2

1 updates

Nestlé begins AI adoption focusing on product quality control using deep learning to ensure correct product components and scoops.