Unilever
Discover 15 AI Use Cases & Implementations from Unilever
Hyperscaler mix
See whether Unilever's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How Unilever builds AI
Build / Buy / Compose across this company's documented cases
7 of 15 cases classified (47%) · Compare all use-case types
Reported outcomes
4 cases report measurable results
−72.5%
Time & speed
median · 6 metrics
+94%
Quality & accuracy
median · 2 metrics
−30%
Sustainability & resources
median · 1 metric
Medians of results published in Unilever cases, normalized for comparability. See all benchmarks →
Evidence persistence
10 of 11 judgeable cases are still publicly referenced · 9 show the organization expanding AI use · 1 lost their public footprint.
Durability of public evidence, not whether systems remain in production. How this is measured →
Technology snapshot
What Unilever uses across visible cases
Capability flags and technologies mentioned in the indexed use cases on this page.
- Top use case
- Agent
- Tagged cases
- 6/15
- Tech names
- 49
Capability mix
All Use Cases (15)
Google Cloud 101 Real-World Generative AI Use Cases with Technical Blueprints
Google Cloud published a detailed technical guide showcasing 101 real-world AI architectural blueprints inspired by customer projects across multiple industries including retail, automotive, telecommunications, healthcare, and manufacturing.The guide demonstrates practical AI applications such as product recommendations, conversational agents, document summarization, fraud detection, and AI-enhanced underwriting, using Google Cloud technologies like Vertex AI, Gemini, Document AI, BigQuery, and more.Each blueprint provides a clear design pattern and a corresponding Google Cloud tech stack addressing real business challenges and workflows, evidencing active deployments and implementations by named customers such as Mercari, Target, Carrefour, The Home Depot, and Unilever.
Microsoft
Unilever Boosts Supply Chain Efficiency and Forecast Accuracy
Unilever, a global manufacturer, implemented advanced AI technologies across its supply chain to improve agility, efficiency, and responsiveness. Facing global disruptions and volatile market demands, the company shifted from traditional, manual processes to a data-driven, AI-powered ecosystem. Incorporating solutions like Dynamics 365 Supply Chain Management, Azure AI, and Power Automate, Unilever overhauled its forecasting, procurement, and logistics processes. By adopting intelligent forecasting models, real-time procurement automation, and logistics optimization, Unilever achieved notable improvements in visibility and decision-making. The integration of Microsoft Copilot agents further streamlined order tracking and operational support, enabling dynamic inventory management and automated supplier communication. These changes resulted in higher forecast accuracy, reduced inventory waste, and significant cost savings, demonstrating the tangible business value of Microsoft’s AI-driven supply chain solutions.Unilever’s case exemplifies how integrating Microsoft’s technology stack enables end-to-end automation and resilience, setting a new benchmark for supply chain transformation in manufacturing.
Unilever Empowers HR and Operations Teams with Decentralized Process Automation
Unilever, a global consumer goods leader based in the UK, adopted a decentralized approach to Robotic Process Automation (RPA), empowering local HR and Operations teams to automate...
MicrosoftUnilever Automates Customer Service Using Microsoft Power Platform
Unilever integrates Microsoft's Power Platform to transform its customer service workflows. Automation minimizes response time while enhancing customer satisfaction. This initiativ...
GCPUnilever Collaborates with Google Unified Security to Address Cybersecurity Alert Triage with AI Agents
Unilever faced challenges handling increasing cybersecurity alert volumes and the manual triage workload impacting efficiency and risk mitigation for security teams.The company deployed Google Unified Security, integrating a scalable security data fabric enriched with Google Threat Intelligence and semi-autonomous Gemini AI alert triage agents.These Gemini AI agents perform dynamic investigations to reduce manual alert triage and investigation efforts for Tier 1 and Tier 2 analysts.
Unilever Revolutionizes E-Commerce with Multi-Agent AI Customer Engagement
Unilever, a global consumer goods company, faced the challenge of complicated website navigation and low conversion rates due to customers struggling to find products and information efficiently. In partnership with Capgemini and Microsoft, Unilever implemented a multi-agent AI system built on Microsoft Azure, orchestrating a suite of specialized AI agents to deliver seamless, contextual, and multi-language customer experiences on their e-commerce platform.The multi-agent system leverages Azure AI, Azure OpenAI (GPT-4), Azure AI Search, Cosmos DB, and PromptFlow to power natural language interactions, personalized product recommendations, and adaptive global language support. An orchestrator agent intelligently routes queries to the right agent, while retrieval-augmented generation (RAG) enables the system to combine internal product and recipe data with external generative models for accurate, real-time responses.Key safety guardrails were implemented, including robust content moderation and prompt restrictions, ensuring secure interactions across use cases. The solution not only enhanced discovery and recommendation features but also improved order fulfillment by integrating with back-end shopping cart workflows.Notable business outcomes include faster and more accurate query responses, increased user engagement, improved conversion rates, and a frictionless global user experience, setting a new e-commerce standard for digital customer care.
Unilever boosts family health engagement with AI-powered Hippo platform
Unilever partnered with Microsoft to launch an innovative digital education tool for its Lifebuoy brand, targeting children and families across 11 global markets.The project features an 'AI Hippo'—an interactive, AI-powered digital character that offers personalized lessons in handwashing and hygiene for kids.Developed using Microsoft Azure OpenAI and immersive AR technologies by Aircards, this solution introduces localized content (languages, foods, colors) to drive relevance and adoption.The initiative takes advantage of gamified learning, music, and creative storytelling to keep children engaged and motivated.Parents and children can access content such as digital coloring books, personalized songs, and location-specific games.Local language options, spanning English, Hindi, Bahasa Indonesian, Vietnamese, and Amharic, break down barriers to education.MullenLowe, a creative agency, designed engagement strategies rooted in behavioral science and children's affinity for animals.Unilever positions the Lifebuoy brand as an active partner in family health, strengthening bonds and boosting brand equity with targeted, value-driven engagement.
MicrosoftUnilever accelerates business innovation and efficiency across global operations
Unilever, a leading consumer goods company, expanded its collaboration with Accenture to drive efficiency and innovation using Microsoft AI technologies. The initiative aims to transform Unilever's business agility and foster operational efficiency by leveraging generative AI-powered platforms through Accenture's GenWizard.Currently, Unilever has over 330 live AI applications, spanning product development, supply chain optimization, marketing, and customer service. AI-powered research and analytics drive breakthroughs in biotechnology and microbiome research, resulting in patentable new technologies incorporated into major product lines such as Dove and Vaseline.By processing large datasets, Unilever can extract actionable insights about consumer health and product performance. AI also underpins their customer connectivity model, which optimizes supply chain and collaborative planning and replenishment processes.The GenWizard platform, deployed with Accenture's support, provides more than 350 ready-to-apply AI tools and frameworks to accelerate digital product innovation. This partnership positions Unilever as an industry standard-bearer for GenAI-driven productivity enhancements.Unilever's collaboration aims to deeply integrate AI, analyze where GenAI can have the greatest business impact, and streamline investments into research and brand innovation.
MicrosoftUnilever revolutionizes supply chain collaboration and forecasting
Unilever has developed and implemented an advanced AI-driven customer connectivity model that transforms how the company collaborates with its modern trade partners. This system in...
MicrosoftUnilever Accelerates Innovation and Sustainability with AI Integration
Unilever, a leading global consumer goods company, has transformed its innovation, supply chain, and customer engagement through large-scale adoption of AI and Microsoft Azure technologies. The company leverages machine learning, Azure-based analytics, and generative AI for rapid product development, R&D, and customer insight analysis. By integrating AI into its product design process, Unilever can simulate millions of combinations, enhance safety, and tailor goods to market preferences without animal testing. Notably, AI-powered smart freezers and advanced supply chain analytics ensure inventory is optimized globally.Unilever's AI Horizon3 Lab in Toronto leads innovation by merging AI research with real-world business problems, focusing on forecasting, generative AI, and graph technology for complex analyses. In the domain of accessible products, Unilever collaborates with Be My Eyes chatbot (GPT-4) and Zappar for packaging inclusivity, allowing visually impaired customers to get cooking information via AI. AI initiatives extend to recruitment, where AI-driven platforms automate candidate screening and feedback, drastically increasing process efficiency and inclusiveness.For sustainability, Unilever partners with Arzeda to engineer AI-designed enzymes for cleaning products, cutting component usage and carbon footprint significantly. Robotics and AI at the Materials Innovation Factory streamline chemistry research and quality assurance, supporting the company’s net-zero aspirations. The integration of generative AI even revolutionizes legal services, automating contracts and compliance processes for global operations. Partnerships with Accenture and Microsoft underpin Unilever's digital and AI transformation, creating robust, data-driven approaches to product and operational excellence.
Unilever streamlines customer service operations with AI automation
Unilever, a global consumer goods company, adopted Microsoft Copilot AI to automate its customer service operations.By using Copilot, Unilever automated the filtering and sorting of customer service emails, enabling rapid identification and separation of spam from legitimate customer inquiries.This automation improved operational efficiency and reduced the manual workload on customer service agents.Copilot's AI-driven platform enhanced Unilever's ability to manage customer requests at scale, resulting in improved customer satisfaction due to faster response times.The initiative also contributed to optimizing Unilever's operational workflows, freeing up human resources for more complex and valuable engagements.With streamlined email processing, customer service agents can focus on high-priority cases while maintaining consistently high service standards.This AI transformation demonstrates the impact of Microsoft Copilot on real-world business operations and service quality.
Unilever accelerates global operations with SAP on Azure
Unilever, a global consumer goods leader, has partnered with Microsoft to migrate its SAP systems to Azure, modernizing its IT infrastructure and enabling better scalability for it...
MicrosoftUnilever revolutionized operations with cloud-only migration
Unilever transitioned to a cloud-only enterprise in collaboration with Accenture and Microsoft, completing one of the largest cloud migrations in the consumer goods sector. This tr...
MicrosoftUnilever boosts operations and sustainability through digital twins and data-driven insights
Unilever, a global leader in consumer goods and manufacturing, undertook a deep digital transformation to empower employees and meet evolving consumer demand. Shifting from a project-based mindset to a platform strategy, Unilever used Microsoft Azure as an architectural backbone, enabling real-time data democratization and agility across its supply chain. The company implemented Azure IoT-based digital twins in its factories, enabling automated data collection, advanced analytics, and machine learning for operational improvements such as controlling moisture levels and optimizing production batch processing. Power BI allowed Unilever's employees to create their own reports and reduce false alerts in production lines, leading to increased productivity and reduced manual effort. By introducing Power Apps, employees built and deployed quality assurance tools, which replaced paper-based processes, streamlined factory operations, and contributed to sustainability by saving energy and materials. Microsoft Teams and Microsoft 365 strengthened global connectivity and knowledge sharing among Unilever’s 155,000 employees, further enhancing productivity and rapid decision-making. The digital strategy, developed in partnership with The Marsden Group, delivered 90% fewer actionable production alerts, significant energy savings in factories, and built a data-intelligent organizational culture to support future growth.Unilever democratized access to insights for non-technical staff, built strong collaboration communities for sharing best practices, and created the technological foundation to expand digital twins to dozens of global plants, accelerating value realization.
Cold chain logistics leader automates document processing and accelerates service for food manufacturers
A leading cold chain logistics company revolutionized its document management by integrating Microsoft SharePoint with Fenestrae’s AI-powered Udocx solution and Azure cloud infrastructure. Traditionally, the company's operations were paper-heavy, especially around proof of delivery (POD) documentation crucial for both logistics workflows and client communications. With high volumes—over 3 million pallets and 1 million cubic meters handled annually—the need for automating document capture, file sharing, and access was critical.The deployment allowed scanned delivery forms to be instantly processed, securely filed in SharePoint, and shared with food manufacturer clients such as McCain, Unilever, and Froneri. This digital workflow reduced human error, improved inventory accuracy, streamlined customer interactions, and let distribution centers unload trailers in under five minutes. Energy-efficient processes, accurate stock control, and fast turnaround improved both operational productivity and long-term client partnerships.The company’s transformation was fully supported by Microsoft technologies, eliminating the bottleneck surrounding manual paperwork and ensuring that valuable information was always accessible to internal teams and customers.