Normalized claim
Time: 25% increase
Screened 45,000+ candidates efficiently, delivering a 25% higher offer rate and 82% acceptance rate, saving 70,000 human hours annually.
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.
Reported outcomes
Time: +25%
Time & speed
Catalog median for time & speed deployments: +59% across 138 reported metrics. Compare benchmarks →
Normalized claim
Time: 25% increase
Screened 45,000+ candidates efficiently, delivering a 25% higher offer rate and 82% acceptance rate, saving 70,000 human hours annually.
Normalized claim
Time: 82% decrease
Screened 45,000+ candidates efficiently, delivering a 25% higher offer rate and 82% acceptance rate, saving 70,000 human hours annually.
Normalized claim
Time: 50% decrease
Achieved 50% reduction in components needed for cleaning product enzymes while accelerating innovation 5x faster than prior cycles.
Normalized claim
Time: 5 x increase
Achieved 50% reduction in components needed for cleaning product enzymes while accelerating innovation 5x faster than prior cycles.
Partnerships with Accenture and Microsoft underpin Unilever's digital and AI transformation, creating robust, data-driven approaches to product and operational excellence
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AI-driven data and analytics powered by Microsoft Azure underpin real-time forecasting, R&D simulations, customer insights, and supply chain optimization. Generative AI models support the legal, recruitment, and product innovation processes. Smart retail deployments like AI-powered freezers and accessible packaging link IoT, machine learning, and cloud analytics to enhance customer experience and operational reliability. AI-driven agents handle applicant evaluations, while sustainability initiatives are underpinned by Azure-hosted AI/ML pipelines for enzyme development.
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