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 from 2023 through 2025, embedding it deep into R&D, supply chain, marketing, and consumer engagement, emphasizing innovation, sustainability, efficiency, and hyper-personalization.
  • Key initiatives include AI-driven digital twins for product marketing (doubling speed, halving costs), AI-powered influencer marketing to scale network by up to 20x, supply chain AI for resilience and responsiveness, and creation of an AI lab in Toronto to foster advanced innovation.
  • Leadership figures such as Steve McCrystal (Chief Enterprise and Technology Officer) and Esi Eggleston Bracey (Chief Growth and Marketing Officer) highlight AI's role in accelerating time-to-market, improving brand growth, and enabling data-driven marketing decisions, with Unilever aiming for substantial ROI and operational transformation by late 2025.

VIBE METER

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

6 AI Use Cases at Unilever

Supply Chain Optimization
2025
Traditional
Generative
Agentic
Outcome
Costs
Unilever employs AI and IoT to enhance supply chain resilience, optimize inventory, automate smart manufacturing, and reduce waste, enabling a responsive and sustainable end-to-end value chain. [1][2][3]
Personalized Marketing
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
Revenue
Unilever uses AI-driven digital twins and generative content platforms to create hyper-personalized, social-first marketing content, accelerating time to market and scaling influencer networks to boost brand growth. [1][2][3]
Content Creation
2025
Traditional
Generative
Agentic
Outcome
Costs
AI tools combine physics, data, and material science to generate high-quality product imagery and designs faster and more cost-effectively, supporting marketing teams and enabling rapid campaign deployment. [1][2]
Talent Acquisition
2025
Traditional
Generative
Agentic
Outcome
Risk
Unilever deploys AI to enhance recruitment processes by attracting, analyzing, and selecting the best candidates for various roles across the organization. [1]
Consumer Insights
2025
Customer Facing
Traditional
Generative
Agentic
Outcome
Leveraging AI-powered social listening and conversational AI, Unilever rapidly analyzes consumer feedback and social signals to predict demand, respond to viral trends, and validate new products dynamically. [1][2]
Product Innovation
2025
Traditional
Generative
Agentic
Outcome
Revenue
AI accelerates R&D by analyzing big data biology, predicting product performance, and enabling creation of superior products more quickly, including personal care innovations and food products. [1][2][3]

Timeline

2025 Q4: no updates

2025 Q3

9 updates

AI-driven content generation is scaling influencer marketing (targeting 10-20x network expansion) and creating social-first content hubs accelerating campaign speed and cultural relevance, led by Steve McCrystal and Esi Eggleston Bracey; digital twins and social listening AI tools fuel viral product launches and customer insights; supply chain and factory automation benefit from AI-powered smart manufacturing.

2025 Q2

1 updates

Pilot program uses AI and IoT to improve cleaning systems in liquid technology, advancing operational efficiency across supply chains.

2025 Q1

5 updates

Unilever accelerated personal care innovation by embedding AI, machine learning, and big data across R&D and marketing, notably using Nvidia's Omniverse digital twins to double marketing content speed and reduce costs.

2024 Q4: no updates

2024 Q3

3 updates

Expanded AI use with Accenture partnership to improve efficiency and business processes; AI adopted in R&D, marketing, sustainability, and digitizing value chains for improved consumer availability.

2024 Q2

2 updates

Unilever's beauty brands adopted AI for creating personalized consumer experiences; AI applied for product quality assessments including shelf life and factory line performance predictions.

2024 Q1

1 updates

AI and digital solutions were further employed in operations, including AI-enhanced shopping experiences and blockchain trials for sustainability.

2023 Q4

2 updates

Unilever emphasized AI ethics through risk analysis processes and opened a new AI lab in Toronto to boost innovation and access advanced talent.

2023 Q3

2 updates

Use of AI and big data biology expanded to optimize food portfolio and accelerate new product development; AI leveraged for supply chain sustainability and efficiency.

2023 Q2

1 updates

Unilever began harnessing AI and data to accelerate scientific discovery, enhance product design, and strengthen supply chain resilience.