Unilever partners with Accenture to roll out over 40 new digital twin models globally, boosting product quality, reducing waste, and supporting industrial decarbonisation efforts across its factories.
Unilever is widening its use of AI-enabled digital twins across its manufacturing estate through a multi-year partnership with Accenture, in a move designed to sharpen product quality, cut waste and help plants react more quickly to shifts in consumer demand.
The company said the programme will build on digital twins already in operation and extend them over the next 18 months with more than 40 additional models, creating what it described as a repeatable template for deployment across its global network. Digital twins mirror factory equipment and production lines in software, drawing on live shopfloor data to track performance and anticipate problems before they affect output.
For a group of Unilever’s scale, the appeal is not simply operational. The initiative also fits with a broader industrial decarbonisation agenda: better process control can reduce material loss, lower energy use and improve plant efficiency, all of which support emissions reduction efforts across manufacturing value chains.
According to Unilever, the digital twins will be paired with AI insights and agentic capabilities so factory teams can spot faults earlier, run simulations faster and make more informed decisions during production. Accenture is supporting the rollout with industrial AI tools that use advanced analytics and AI agents to predict maintenance needs, improve performance and speed up responses, with some routine adjustments expected to become increasingly automated under human oversight as confidence in the systems grows.
Adam Raeburn-James, Unilever’s global vice-president for digital business operations, said the company viewed the initiative as more than a technology upgrade, describing it as a commitment to better products, sustainability and stronger support for factory teams. He said the partnership with Accenture was intended to turn innovation into measurable impact for what Unilever says is a customer base of 3.7 billion people worldwide.
Nicole van Det, chief executive of Accenture Netherlands and Nordics and global account lead for Unilever, said the consumer goods group had long been recognised for supply chain excellence and argued that its early investment in AI was helping set a benchmark for combining advanced tools with disciplined shopfloor execution.
Unilever points to existing sites where the technology is already delivering results. In Raeford, North Carolina, a digital twin used in deodorant stick production for brands including Dove, Degree and Axe is said to predict 95% of process flow restrictions, while reducing waste by 20% and lifting capacity by 10%. In Haldia, India, an energy twin supporting powder detergent production is reported to have reduced thermal energy consumption over two years by optimising fan speeds, temperature settings and moisture controls.
Other examples include Poznań, Poland, where a digital twin has helped stabilise mayonnaise viscosity while reducing minor stoppages and waste, and Gandhidham, India, where a model for soap production has cut quality defects by 30% over four years. In Cu Chi, Vietnam, an intelligent mixer is said to have lowered raw-material overuse and saved 1% to 2% of premium ingredients while maintaining product quality.
The latest announcement adds to Unilever’s growing reputation for digital manufacturing, with the company cited by the World Economic Forum’s Global Lighthouse Network for having the highest number of designations in the consumer goods sector. It also follows earlier efforts to test and identify new AI applications through its AI Horizon3 Lab in Toronto.
- https://www.intelligentcio.com/eu/2026/06/16/unilever-scales-ai-enabled-digital-twins-across-global-manufacturing-network-with-accenture/ – Please view link – unable to able to access data
- https://newsroom.accenture.com/news/2026/unilever-scales-digital-twins-across-global-manufacturing-network-with-accenture – Unilever is collaborating with Accenture to implement AI-enabled digital twins across its global manufacturing network. This initiative aims to enhance product quality, increase efficiency, and enable quicker responses to consumer demand. The multi-year programme signifies Unilever’s commitment to integrating advanced technologies throughout its value chain, shaping the future of the consumer goods industry. Digital twins are virtual models of factory equipment and production lines, utilizing live data to monitor and predict machine and process performance. By combining digital twins with AI insights, Unilever equips manufacturing teams with tools to identify issues promptly, simulate scenarios rapidly, and make informed decisions throughout the production cycle. Building upon existing digital twins, Unilever plans to develop over 40 new digital twins in the next 18 months, establishing a scalable model for global implementation. Adam Raeburn-James, Global VP for Digital Business Operations at Unilever, stated, “Scaling AI across our operations isn’t just a technological shift, it’s a commitment to superior products, sustainability, and empowering our teams across our factories.” Nicole van Det, CEO of Accenture Netherlands and Nordics, emphasized Unilever’s focus on both technology and people, highlighting the company’s early investment in AI and its role in setting standards for integrating advanced tools with smart process design and disciplined execution on the shop floor. Accenture is assisting Unilever in deploying industrial AI capabilities that utilize advanced analytics and AI agents to predict maintenance needs, improve performance, and enable faster team responses. As the system learns and employees gain confidence in its accuracy, it can progressively take on certain adjustments automatically, with human oversight.
- https://www.mfg-outlook.com/manufacturing-insights/unilever-and-accenture-scale-ai-digital-twins-across-global-factories-to-boost-efficiency-and-quality – Unilever is expanding the use of AI-enabled digital twins across its manufacturing network through a multi-year partnership with Accenture. This initiative aims to improve product quality, reduce waste, increase capacity, and provide factory teams with new tools for faster, data-driven decisions. The partnership reflects Unilever’s commitment to integrating advanced technologies throughout its value chain, shaping the future of the consumer goods industry. Digital twins are virtual models of factory equipment and production lines, utilizing live data to monitor and predict machine and process performance. By combining digital twins with AI insights, Unilever equips manufacturing teams with tools to identify issues promptly, simulate scenarios rapidly, and make informed decisions throughout the production cycle. Building upon existing digital twins, Unilever plans to develop over 40 new digital twins in the next 18 months, establishing a scalable model for global implementation. Adam Raeburn-James, Global VP for Digital Business Operations at Unilever, stated, “Through our partnership with Accenture to accelerate digital twins, we are turning innovation into measurable impact to create desirable brands for our 3.7 billion consumers worldwide.” Nicole van Det, CEO of Accenture Netherlands and Nordics, emphasized Unilever’s focus on both technology and people, highlighting the company’s early investment in AI and its role in setting standards for integrating advanced tools with smart process design and disciplined execution on the shop floor. Accenture is assisting Unilever in deploying industrial AI capabilities that utilize advanced analytics and AI agents to predict maintenance needs, improve performance, and enable faster team responses. As the system learns and employees gain confidence in its accuracy, it can progressively take on certain adjustments automatically, with human oversight.
- https://www.intelligentcio.com/apac/2026/06/16/unilever-scales-ai-enabled-digital-twins-across-global-manufacturing-network-with-accenture/ – Unilever is partnering with Accenture to scale AI-enabled digital twins across its global manufacturing network, aiming to enhance product quality, boost efficiency, and respond more swiftly to consumer demand. This multi-year programme marks a significant step in Unilever’s journey to apply pioneering technology across its value chain, shaping the future of the consumer goods industry. Digital twins are virtual models of factory equipment and production lines, utilizing live data from physical systems on the shop floor to monitor and predict machine and process performance. By integrating digital twins with AI-enabled insights and agentic capabilities, Unilever equips manufacturing teams with advanced tools to identify issues sooner, simulate scenarios faster, and make smarter decisions throughout the production cycle. Building on existing digital twins, Unilever plans to expand adoption over the next 18 months by developing more than 40 new digital twins, creating a scalable blueprint for global rollout. Adam Raeburn-James, Global VP for Digital Business Operations at Unilever, stated, “Scaling AI across our operations isn’t just a technological shift, it’s a commitment to superior products, sustainability, and empowering our teams across our factories.” Nicole van Det, CEO of Accenture Netherlands and Nordics, emphasized Unilever’s focus on both technology and people, highlighting the company’s early investment in AI and its role in setting standards for integrating advanced tools with smart process design and disciplined execution on the shop floor. Accenture is supporting Unilever in deploying industrial AI capabilities that use advanced analytics and AI agents to predict maintenance needs, improve performance, and help teams act faster. As the system learns and employees gain confidence in its accuracy, it can progressively take on certain adjustments automatically, with human oversight.
- https://manufacturingdigital.com/articles/how-unilever-is-building-more-than-40-new-digital-twins – Unilever is partnering with Accenture to accelerate the use of digital twins in its global manufacturing network, citing strong results from installations. Digital twins are virtual models of factory equipment and production lines, utilizing live data to monitor and predict machine and process performance. Unilever has already deployed digital twins across its manufacturing network spanning the US, Europe, and India and has cited positive results and tangible impacts. The partnership aims to enhance product quality, increase efficiency, and enable quicker responses to consumer demand. Over the next 18 months, Unilever plans to develop more than 40 new digital twins, creating a scalable model for global implementation. Adam Raeburn-James, Global VP for Digital Business Operations at Unilever, stated, “Through our partnership with Accenture to accelerate digital twins, we are turning innovation into measurable impact to create desirable brands for our 3.7 billion consumers worldwide.” Nicole van Det, CEO of Accenture Netherlands and Nordics, emphasized Unilever’s focus on both technology and people, highlighting the company’s early investment in AI and its role in setting standards for integrating advanced tools with smart process design and disciplined execution on the shop floor. Accenture is assisting Unilever in deploying industrial AI capabilities that utilize advanced analytics and AI agents to predict maintenance needs, improve performance, and enable faster team responses. As the system learns and employees gain confidence in its accuracy, it can progressively take on certain adjustments automatically, with human oversight.
- https://www.marketscreener.com/news/unilever-taps-accenture-to-scale-ai-digital-twins-in-production-ce7f5cdcd980f620 – Unilever and Accenture have announced a multi-year partnership to scale the use of artificial intelligence-enabled digital twins across Unilever’s global manufacturing network. Digital twins
Noah Fact Check Pro
The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
10
Notes:
The article was published on June 16, 2026, and no earlier versions of this specific content were found. The information appears to be fresh and original.
Quotes check
Score:
10
Notes:
Direct quotes from Unilever’s Global VP for Digital Business Operations, Adam Raeburn-James, and Accenture’s CEO for Netherlands and Nordics, Nicole van Det, are present. No discrepancies or earlier uses of these quotes were found, indicating they are original to this article.
Source reliability
Score:
8
Notes:
The article originates from Intelligent CIO Europe, a reputable publication in the technology sector. However, it is important to note that this publication is part of a network of regional technology news outlets, which may lead to content overlap. The article also references a press release from Accenture, which is a primary source but may carry a promotional bias. This dual sourcing suggests a need for cautious interpretation.
Plausibility check
Score:
9
Notes:
The claims about Unilever’s partnership with Accenture to scale AI-enabled digital twins across its global manufacturing network are plausible and align with industry trends towards digitalisation and AI integration in manufacturing. Specific examples from various Unilever sites support the narrative. However, the reliance on a press release as a primary source warrants a degree of scepticism, as it may present a biased perspective.
Overall assessment
Verdict (FAIL, OPEN, PASS): PASS
Confidence (LOW, MEDIUM, HIGH): MEDIUM
Summary:
The article presents a plausible and timely account of Unilever’s partnership with Accenture to expand AI-enabled digital twins across its manufacturing network. However, the reliance on a press release as a primary source and the dual sourcing from a regional news outlet and a corporate press release introduce potential biases and a lack of independent verification. While the content is original and free from paywall restrictions, the sourcing raises concerns about objectivity and thoroughness. Editors should consider seeking additional independent sources to corroborate the claims made in the article.
