Rudy Lai

AI @ Unilever

Consumer staples (Dove, Hellmanns, Persil)
Industry
Last updated
July 3, 2025 at 10:44 AM

Summary

  • Unilever has progressively integrated AI across its operations from 2023 to early 2026, focusing on accelerating innovation, enhancing supply chain efficiency, and driving hyper-personalized consumer experiences using data-driven AI techniques.
  • Key initiatives include launching an AI lab in Toronto, leveraging digital twins for product marketing, deploying generative AI tools like Google’s Veo 3 for social-first content, and embedding AI in supply chain and personal care product development—resulting in significant cost savings, speed enhancements, and improved consumer engagement.
  • Leadership figures such as Steve McCrystal and Esi Eggleston Bracey highlight AI's strategic role, with partnerships (e.g., Accenture, NIQ), a dedicated AI accelerator program, and adoption of ethical frameworks underscoring a mature, enterprise-wide AI commitment driving both revenue growth and operational efficiency.

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6 AI Use Cases at Unilever

Social Listening
2025
Traditional
Generative
Agentic
Outcome
Unilever applies AI-driven multi-language social listening and analysis to capture real-time consumer sentiment and viral trends, enabling rapid demand forecasting and marketing agility. [1]
Marketing Efficiency
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
Costs
Unilever employs AI-powered digital twins and generative AI tools like Google’s Veo 3 in its Sketch Pro content hub to produce social-first marketing content faster, reducing costs and doubling production speed while improving engagement. [1][2][3]
Influencer Marketing
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
Revenue
Using generative AI and machine learning, Unilever scales its influencer network to create credible, viral campaigns, increasing consumer engagement and accelerating growth. [1]
Product Innovation
2025
Traditional
Generative
Agentic
Outcome
Revenue
AI is leveraged by Unilever's R&D and product development teams to accelerate fragrance formulation, food product optimization, personal care innovation, and faster product testing. [1][2][3]
Supply Chain Optimization
2024
Traditional
Generative
Agentic
Outcome
Costs
Unilever uses AI algorithms and IoT integration to improve sustainability, efficiency, and responsiveness in its supply chain operations, reducing waste and optimizing inventory. [1][2][3]
Consumer Personalization
2024
Customer Facing
Traditional
Generative
Agentic
Outcome
AI drives hyper-personalized consumer experiences in Unilever's beauty brands, optimizing engagement and brand growth through AI-assisted data analytics and targeted content. [1]

Timeline

2026 Q1: no updates

2025 Q4

1 updates

AI continues transforming Unilever's Personal Care business, delivering superior innovation, execution, and decision-making capabilities.

2025 Q3

5 updates

Significant scale-up of AI across marketing, social listening (covering multi-language social signals), influencer marketing growth, AI-driven content hubs (e.g., Sketch Pro), and leveraging generative AI tools to cut costs, double content speed and improve brand engagement notably for brands like Persil, Dove, and Vaseline.

2025 Q2

1 updates

Pilot programs leveraging AI and IoT to improve cleaning liquid technologies, enhancing sustainability and operational efficiency in supply chains.

2025 Q1

4 updates

Expansion into AI-driven digital twins, influencer marketing, accelerated product development (e.g., fragrance formulation), 'Desire at Scale' marketing strategy, and advanced supply chain management using IoT and AI.

2024 Q4: no updates

2024 Q3

3 updates

AI adoption scaled to R&D, supply chain digitization, marketing efficiency, and sustainability; launching AI partnerships with Accenture and embedding generative AI for business efficiencies.

2024 Q2

2 updates

Deployment of AI for hyper-personalized consumer experiences boosting beauty brand engagement and optimizing food product shelf life, texture, and production predictability.

2024 Q1

1 updates

Emphasis on AI-driven digital solutions to improve operations, enhance customer accessibility, and pilot blockchain for sustainability goals.

2023 Q4

2 updates

Unilever initiated AI ethics evaluations alongside opening an AI lab in Toronto to boost innovation, technology adoption, and collaboration.

2023 Q3

2 updates

Focus expanded to integrating AI in sustainable supply chain innovation and leveraging big data biology to optimize and accelerate food product development.

2023 Q2

1 updates

Unilever began harnessing AI and digital tools to speed up scientific discovery, product design, and enhance supply chain resilience as an initial step towards AI integration.