AI @ Nestlé
Summary
- Nestlé has progressively integrated AI and machine learning across its R&D, manufacturing, marketing, and sustainability efforts from 2022 through 2025, reflecting an increasing adoption trend with significant investments like A$30m at the KitKat factory and launching AI-driven brand content platforms.
- The company employs AI for product quality control, innovation acceleration, personalized nutrition, predictive maintenance, recipe optimization aligned with nutritional and cost standards, and sustainable packaging development, contributing to improved efficiency, innovation speed, and sustainability commitments.
- By 2025, Nestlé faces structural changes including job cuts (16,000 roles) partly due to automation and AI integrations, while continuing to leverage generative AI tools like NesGPT saving employees' time and collaborating with IBM on AI-powered packaging innovation, showing a mature, expansive, and strategic AI deployment.
VIBE METER
9 AI Use Cases at Nestlé
Sustainability Innovation2025
Procurement Automation2025
Content Generation2025Customer Facing
Employee Productivity2024
Predictive Maintenance2024
Personalized Nutrition2023Customer Facing
Marketing Optimization2023Customer Facing
Product Innovation2023
Quality Control2022
Timeline
2025 Q4
Nestlé announced cutting 16,000 jobs linked with automation and AI adoption, simultaneously emphasizing AI’s strategic role in optimizing forecasts, recipes, and sustainability efforts.
2025 Q3
Broad AI adoption extends to procurement efficiencies, sustainable packaging innovation in partnership with IBM using generative chemical language models, workforce upskilling, and AI for sustainability and product innovation driving $92bn revenue generation.
2025 Q2
Launch of AI-powered digital twin content creation for brands, announcement of a new deep tech center in Switzerland for robotics and precision tech, and AI use in recipe cost and nutrition optimization.
2025 Q1
A$30m investment to integrate AI and digital capabilities at KitKat factory in Australia marks significant capital deployment toward AI-enhanced manufacturing.
2024 Q4
Strategic integration of AI technology to enhance decision-making and embed intelligence across operational frameworks.
2024 Q3
Deployment of generative AI tools such as NesGPT, saving employees ~45 minutes weekly, and enhancement of operations via AI-driven use cases.
2024 Q2
Significant AI-driven transformations including predictive maintenance, AI deployment across business units for consumer value, and climate-resilient coffee production innovations.
2024 Q1
Nestlé uses AI and data science to address the evolving food system and reduce food loss.
2023 Q4
Exploration of AI-powered personalized nutrition leveraging technology from January AI.
2023 Q3
Continued pioneering of AI and ML integration in multiple operational areas.
2023 Q2: no updates
2023 Q1
AI applied to food manufacturing concept research analyzing consumer data and to rank marketing ads across 15,000 marketers.
2022 Q4
Investment in AI and machine learning intensified to improve R&D innovation processes aiming for better product development outcomes.
2022 Q3: no updates
2022 Q2
Nestlé began adopting AI for product component verification, ensuring quality by checking scoops and components in production.