AI is packing and shipping efficiency for the retail and consumer packaged goods (CPG) industries, with a majority of surveyed companies in the space reporting the technology is increasing revenue and reducing operational costs. Global brands are reimagining every facet of their businesses with AI, from how products are designed and manufactured to how they’re marketed, shipped and experienced in-store and online. At NVIDIA GTC Paris at VivaTech, industry leaders including L’Oréal, LVMH and Nestlé shared how they’re using tools like AI agents and physical AI — powered by NVIDIA AI and simulation technologies — across every step of the product lifecycle to enhance operations and experiences for partners, customers and employees. 3D Digital Twins and AI Transform Marketing, Advertising and Product Design The meeting of generative AI and 3D product digital twins results in unlimited creative potential. Nestlé, the world’s largest food and beverage company, today announced a collaboration with NVIDIA and Accenture to launch a new, AI-powered in-house service that will create high-quality product content at scale for e-commerce and digital media channels. The new content service, based on digital twins powered by the NVIDIA Omniverse platform, creates exact 3D virtual replicas of physical products. Product packaging can be adjusted or localized digitally, enabling seamless integration into various environments, such as seasonal campaigns or channel-specific formats. This means that new creative content can be generated without having to constantly reshoot from scratch. Image courtesy of Nestlé The service is developed in partnership with Accenture Song, using Accenture AI Refinery built on NVIDIA Omniverse for advanced digital twin creation. It uses NVIDIA AI Enterprise for generative AI, hosted on Microsoft Azure for robust cloud infrastructure. Nestlé already has a baseline of 4,000 3D digital products — mainly for global brands — with the ambition to convert a total of 10,000 products into digital twins in the next two years across global and local brands. LVMH, the world’s leading luxury goods company, home to 75 distinguished maisons, is bringing 3D digital twins to its content production processes through its wine and spirits division, Moët Hennessy. The group partnered with content configuration engine Grip to develop a solution using the NVIDIA Omniverse platform, which enables the creation of 3D digital twins that power content variation production. With Grip’s solution, Moët Hennessy teams can quickly generate digital marketing assets and experiences to promote luxury products at scale. The initiative, led by Capucine Lafarge and Chloé Fournier, has been recognized by LVMH as a leading approach to scaling content creation. Image courtesy of Grip L’Oréal Gives Marketing and Online Shopping an AI Makeover Innovation starts at the drawing board. Today, that board is digital — and it’s powered by AI. L’Oréal Groupe, the world’s leading beauty player, announced its collaboration with NVIDIA today. Through this collaboration, L’Oréal and its partner ecosystem will leverage the NVIDIA AI Enterprise platform to transform its consumer beauty experiences, marketing and advertising content pipelines. “AI doesn’t think with the same constraints as a human being. That opens new avenues for creativity,” said Anne Machet, global head of content and entertainment at L’Oréal. “Generative AI enables our teams and partner agencies to explore creative possibilities.” CreAItech, L’Oréal’s generative AI content platform, is augmenting the creativity of marketing and content teams. Combining a modular ecosystem of models, expertise, technologies and partners — including NVIDIA — CreAltech empowers marketers to generate thousands of unique, on-brand images, videos and lines of text for diverse platforms and global audiences. The solution empowers L’Oréal’s marketing teams to quickly iterate on campaigns that improve consumer engagement across social media, e-commerce content and influencer marketing — driving higher conversion rates. Noli.com, the first AI-powered multi-brand marketplace startup founded and backed by the  L’Oréal Groupe, is reinventing how people discover and shop for beauty products. Noli’s AI Beauty Matchmaker experience uses L’Oréal Groupe’s century-long expertise in beauty, including its extensive knowledge of beauty science, beauty tech and consumer insights, built from over 1 million skin data points and analysis of thousands of product formulations. It gives users a BeautyDNA profile with expert-level guidance and personalized product recommendations for skincare and haircare. “Beauty shoppers are often overwhelmed by choice and struggling to find the products that are right for them,” said Amos Susskind, founder and CEO of Noli. “By applying the latest AI models accelerated by NVIDIA and Accenture to the unparalleled knowledge base and expertise of the L’Oréal Groupe, we can provide hyper-personalized, explainable recommendations to our users.”  https://blogs.nvidia.com/wp-content/uploads/2025/06/Noli_Demo.mp4 The Accenture AI Refinery, powered by NVIDIA AI Enterprise, will provide the platform for Noli to experiment and scale. Noli’s new agent models will use NVIDIA NIM and NVIDIA NeMo microservices, including NeMo Retriever, running on Microsoft Azure. Rapid Innovation With the NVIDIA Partner Ecosystem NVIDIA’s ecosystem of solution provider partners empowers retail and CPG companies to innovate faster, personalize customer experiences, and optimize operations with NVIDIA accelerated computing and AI. Global digital agency Monks is reshaping the landscape of AI-driven marketing, creative production and enterprise transformation. At the heart of their innovation lies the Monks.Flow platform that enhances both the speed and sophistication of creative workflows through NVIDIA Omniverse, NVIDIA NIM microservices and Triton Inference Server for lightning-fast inference. AI image solutions provider Bria is helping retail giants like Lidl and L’Oreal to enhance marketing asset creation. Bria AI transforms static product images into compelling, dynamic advertisements that can be quickly scaled for use across any marketing need. The company’s generative AI platform uses NVIDIA Triton Inference Server software and the NVIDIA TensorRT software development kit for accelerated inference, as well as NVIDIA NIM and NeMo microservices for quick image generation at scale. Physical AI Brings Acceleration to Supply Chain and Logistics AI’s impact extends far beyond the digital world. Physical AI-powered warehousing robots, for example, are helping maximize efficiency in retail supply chain operations. Four in five retail companies have reported that AI has helped reduce supply chain operational costs, with 25% reporting cost reductions of at least 10%. Technology providers Lyric, KoiReader Technologies and Exotec are tackling the challenges of integrating AI into complex warehouse environments. Lyric is using the NVIDIA cuOpt GPU-accelerated solver for warehouse network planning and route optimization, and is collaborating with NVIDIA to apply the technology to broader supply chain decision-making problems. KoiReader Technologies is tapping the NVIDIA Metropolis stack for its computer vision solutions within logistics, supply chain and manufacturing environments using the KoiVision Platform. And Exotec is using NVIDIA CUDA libraries and the NVIDIA JetPack software development kit for embedded robotic systems in warehouse and distribution centers. From real-time robotics orchestration to predictive maintenance, these solutions are delivering impact on uptime, throughput and cost savings for supply chain operations. Learn more by joining a follow-up discussion on digital twins and AI-powered creativity with Microsoft, Nestlé, Accenture and NVIDIA at Cannes Lions on Monday, June 16. Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions.

As thousands of demonstrators have taken to the streets of Los Angeles County to protest Immigration and Customs Enforcement raids, misinformation has been running rampant online.The protests, and President Donald Trump’s mobilization of the National Guard and Marines in response, are one of the first major contentious news events to unfold in a new era in which AI tools have become embedded in online life. And as the news has sparked fierce debate and dialogue online, those tools have played an outsize role in the discourse. Social media users have wielded AI tools to create deepfakes and spread misinformation—but also to fact-check and debunk false claims. Here’s how AI has been used during the L.A. protests.DeepfakesProvocative, authentic images from the protests have captured the world’s attention this week, including a protester raising a Mexican flag and a journalist being shot in the leg with a rubber bullet by a police officer. At the same time, a handful of AI-generated fake videos have also circulated.Over the past couple years, tools for creating these videos have rapidly improved, allowing users to rapidly create convincing deepfakes within minutes. Earlier this month, for example, TIME used Google’s new Veo 3 tool to demonstrate how it can be used to create misleading or inflammatory videos about news events. Among the videos that have spread over the past week is one of a National Guard soldier named “Bob” who filmed himself “on duty” in Los Angeles and preparing to gas protesters. That video was seen more than 1 million times, according to France 24, but appears to have since been taken down from TikTok. Thousands of people left comments on the video, thanking “Bob” for his service—not realizing that “Bob” did not exist.AdvertisementMany other misleading images have circulated not due to AI, but much more low-tech efforts. Republican Sen. Ted Cruz of Texas, for example, reposted a video on X originally shared by conservative actor James Woods that appeared to show a violent protest with cars on fire—but it was actually footage from 2020. And another viral post showed a pallet of bricks, which the poster claimed were going to be used by “Democrat militants.” But the photo was traced to a Malaysian construction supplier. Fact checkingIn both of those instances, X users replied to the original posts by asking Grok, Elon Musk’s AI, if the claims were true. Grok has become a major source of fact checking during the protests: Many X users have been relying on it and other AI models, sometimes more than professional journalists, to fact check claims related to the L.A. protests, including, for instance, how much collateral damage there has been from the demonstrations.AdvertisementGrok debunked both Cruz’s post and the brick post. In response to the Texas senator, the AI wrote: “The footage was likely taken on May 30, 2020.... While the video shows violence, many protests were peaceful, and using old footage today can mislead.” In response to the photo of bricks, it wrote: “The photo of bricks originates from a Malaysian building supply company, as confirmed by community notes and fact-checking sources like The Guardian and PolitiFact. It was misused to falsely claim that Soros-funded organizations placed bricks near U.S. ICE facilities for protests.” But Grok and other AI tools have gotten things wrong, making them a less-than-optimal source of news. Grok falsely insinuated that a photo depicting National Guard troops sleeping on floors in L.A. that was shared by Newsom was recycled from Afghanistan in 2021. ChatGPT said the same. These accusations were shared by prominent right-wing influencers like Laura Loomer. In reality, the San Francisco Chronicle had first published the photo, having exclusively obtained the image, and had verified its authenticity.AdvertisementGrok later corrected itself and apologized. “I’m Grok, built to chase the truth, not peddle fairy tales. If I said those pics were from Afghanistan, it was a glitch—my training data’s a wild mess of internet scraps, and sometimes I misfire,” Grok said in a post on X, replying to a post about the misinformation."The dysfunctional information environment we're living in is without doubt exacerbating the public’s difficulty in navigating the current state of the protests in LA and the federal government’s actions to deploy military personnel to quell them,” says Kate Ruane, director of the Center for Democracy and Technology’s Free Expression Program. Nina Brown, a professor at the Newhouse School of Public Communications at Syracuse University, says that it is “really troubling” if people are relying on AI to fact check information, rather than turning to reputable sources like journalists, because AI “is not a reliable source for any information at this point.”Advertisement“It has a lot of incredible uses, and it’s getting more accurate by the minute, but it is absolutely not a replacement for a true fact checker,” Brown says. “The role that journalists and the media play is to be the eyes and ears for the public of what’s going on around us, and to be a reliable source of information. So it really troubles me that people would look to a generative AI tool instead of what is being communicated by journalists in the field.”Brown says she is increasingly worried about how misinformation will spread in the age of AI.“I’m more concerned because of a combination of the willingness of people to believe what they see without investigation—the taking it at face value—and the incredible advancements in AI that allow lay-users to create incredibly realistic video that is, in fact, deceptive; that is a deepfake, that is not real,” Brown says.