Rudy Lai
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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 since 2023, focusing on innovation in product development, supply chain optimization, marketing efficiency, and personalized consumer experiences, with significant initiatives launched such as the AI lab in Toronto and AI digital twins.
  • Key executives like Steve McCrystal and Esi Eggleston Bracey have highlighted AI's impact on influencer marketing growth and content creation, supporting substantial efficiency gains, faster product launches, and enhanced customer engagement, while ethical AI practices have also been embedded since late 2023.
  • In 2025 and early 2026, Unilever deepened its AI commitment through partnerships (e.g., Google Cloud, Vector Institute), expanding use cases including smart manufacturing, accelerated R&D (up to 65% faster fragrance development), viral marketing, and AI-driven consumer insights, signaling a mature, strategic adoption of generative and agentic AI technologies.

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6 AI Use Cases at Unilever

Personalized Marketing
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
Using AI, Unilever creates hyper-personalized consumer experiences and rapidly analyzes social listening data to tailor campaigns, optimize influencer marketing, and boost brand relevance on platforms including TikTok. [1][2][3]
Smart Manufacturing
2025
Traditional
Generative
Agentic
Outcome
Costs
Unilever advances connected factories integrating AI, IoT, and automation technologies to increase operational efficiency, reduce downtime, and support sustainability goals across manufacturing sites. [1][2]
Supply Chain Optimization
2025
Traditional
Generative
Agentic
Outcome
Costs
Unilever applies AI combined with IoT and automation to optimize inventory management, improve manufacturing efficiency, reduce waste, and responsively adjust to environmental factors within its supply chain. [1][2][3]
Talent Acquisition
2025
Traditional
Generative
Agentic
Outcome
Costs
AI-driven recruitment solutions are employed to attract, analyze, and select optimal candidates for roles across the company, improving hiring efficiency and fit. [1]
Product Innovation
2025
Traditional
Generative
Agentic
Outcome
Revenue
Unilever uses AI and machine learning models to simulate ingredient interactions virtually, accelerating fragrance and personal care product development up to 65% faster, enabling data-driven iteration and quicker market launch. [1][2]
Content Creation
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
Revenue
Unilever leverages AI digital twins and generative tools to accelerate marketing content production, enabling faster, cost-effective creation of visuals and campaigns across multiple platforms while increasing engagement metrics. [1][2][3]

Timeline

2026 Q2: no updates

2026 Q1

1 updates

Unilever commits to a five-year strategic partnership with Google Cloud to adopt Vertex AI and Gemini technologies for advanced consumer engagement and data management.

2025 Q4

2 updates

AI transforms Unilever's personal care business by improving innovation, virtual ingredient testing, production efficiency, and sustainability through digital twins across factories.

2025 Q3

4 updates

AI advances smart manufacturing, talent acquisition, influencer marketing (aiming to grow network 10-20x), social listening, digital twin content creation, and viral campaign success; launches AI-driven design unit Sketch Pro and strengthens AI marketing capabilities.

2025 Q2

1 updates

Unilever pilots AI and IoT innovations for improved cleaning and liquid technology systems to enhance supply chain processes.

2025 Q1

4 updates

Unilever accelerates content creation and product innovation with AI digital twins and AI-powered marketing, boosting production speed and halving costs; deepens AI partnerships and expands AI-driven personalization across product lines.

2024 Q4: no updates

2024 Q3

3 updates

AI revolutionizes R&D, supply chain, customer connectivity, and drives efficiency and sustainability; partnership with Accenture expands generative AI business use.

2024 Q2

2 updates

AI drives hyper-personalized consumer experiences for Unilever beauty brands and helps assess product features like shelf life and factory line performance.

2024 Q1

1 updates

Unilever extends AI and digital solutions usage to enhance operations and sustainability ambitions including blockchain adoption.

2023 Q4

2 updates

Unilever embeds AI ethics into processes via risk analysis; launches AI lab in Toronto to foster innovation and access AI talent.

2023 Q3

2 updates

AI integration in supply chain focusing on sustainability and efficiency; AI and big data biology accelerate food portfolio optimization and new product development.

2023 Q2

1 updates

Unilever begins harnessing AI and data to drive scientific discovery, design progress, and strengthen supply chain resilience.