{"id":4031,"date":"2025-06-11T12:41:00","date_gmt":"2025-06-11T12:41:00","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2025\/06\/11\/retail-reboot-major-global-brands-transform-end-to-end-operations-with-nvidia\/"},"modified":"2025-06-11T12:41:00","modified_gmt":"2025-06-11T12:41:00","slug":"retail-reboot-major-global-brands-transform-end-to-end-operations-with-nvidia","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2025\/06\/11\/retail-reboot-major-global-brands-transform-end-to-end-operations-with-nvidia\/","title":{"rendered":"Retail Reboot: Major Global Brands Transform End-to-End Operations With NVIDIA"},"content":{"rendered":"<div>\n\t\t<span class=\"bsf-rt-reading-time\"><span class=\"bsf-rt-display-label\"><\/span> <span class=\"bsf-rt-display-time\"><\/span> <span class=\"bsf-rt-display-postfix\"><\/span><\/span><\/p>\n<p>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 <a href=\"https:\/\/blogs.nvidia.com\/blog\/ai-in-retail-cpg-survey-2025\/\">increasing revenue and reducing operational costs<\/a>.<\/p>\n<p>Global brands are reimagining every facet of their businesses with AI, from how products are designed and manufactured to how they\u2019re marketed, shipped and experienced in-store and online.<\/p>\n<p>At <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-eu\/gtc\/vivatech\/\" rel=\"noopener\">NVIDIA GTC Paris at VivaTech<\/a>, industry leaders including L\u2019Or\u00e9al, LVMH and Nestl\u00e9 <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-eu\/gtc\/session-catalog\/?regcode=pa-srch-goog-697962&amp;ncid=pa-srch-goog-697962&amp;tab.allsessions=1700692987788001F1cG&amp;search=retail#\/session\/1747180594871001dkVe\" rel=\"noopener\">shared<\/a> how they\u2019re using tools like <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/ai\/\" rel=\"noopener\">AI agents<\/a> and <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/glossary\/generative-physical-ai\/\" rel=\"noopener\">physical AI<\/a> \u2014 powered by NVIDIA AI and simulation technologies \u2014 across every step of the product lifecycle to enhance operations and experiences for partners, customers and employees.<\/p>\n<h2><b>3D Digital Twins and AI Transform Marketing, Advertising and Product Design<\/b><\/h2>\n<p>The meeting of <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/glossary\/generative-ai\/\" rel=\"noopener\">generative AI<\/a> and 3D product <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/glossary\/digital-twin\/\" rel=\"noopener\">digital twins<\/a> results in unlimited creative potential.<\/p>\n<p>Nestl\u00e9, the world\u2019s 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.<\/p>\n<p>The new content service, based on digital twins powered by the <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/omniverse\/\" rel=\"noopener\">NVIDIA Omniverse<\/a> 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.<\/p>\n<figure id=\"attachment_82071\" aria-describedby=\"caption-attachment-82071\" class=\"wp-caption alignnone\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-82071 size-medium\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/06\/NespressoOption2-960x320.png\" alt=\"\" width=\"960\" height=\"320\"><figcaption id=\"caption-attachment-82071\" class=\"wp-caption-text\"><em>Image courtesy of Nestl\u00e9<\/em><\/figcaption><\/figure>\n<p>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.<\/p>\n<p>Nestl\u00e9 already has a baseline of 4,000 3D digital products \u2014 mainly for global brands \u2014 with the ambition to convert a total of 10,000 products into digital twins in the next two years across global and local brands.<\/p>\n<p>LVMH, the world\u2019s 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, Mo\u00ebt Hennessy.<\/p>\n<p>The group partnered with <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/glossary\/product-configurator\/\" rel=\"noopener\">content configuration<\/a> engine <a target=\"_blank\" href=\"https:\/\/www.grip.tools\/customer-stories\/how-moet-hennessy-boosted-local-responsiveness-by-scaling-3-million-content-variations-globally--at-twice-the-speed\" rel=\"noopener\">Grip to develop a solution<\/a> using the NVIDIA Omniverse platform, which enables the creation of 3D digital twins that power content variation production. With Grip\u2019s solution, Mo\u00ebt Hennessy teams can quickly generate digital marketing assets and experiences to promote luxury products at scale.<\/p>\n<p>The initiative, led by Capucine Lafarge and Chlo\u00e9 Fournier, has been recognized by LVMH as a leading approach to scaling content creation.<\/p>\n<figure id=\"attachment_82077\" aria-describedby=\"caption-attachment-82077\" class=\"wp-caption alignnone\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-82077 size-medium\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/06\/MH-AI-Screengrab_cropped-no-fill-960x609.jpg\" alt=\"\" width=\"960\" height=\"609\"><figcaption id=\"caption-attachment-82077\" class=\"wp-caption-text\"><em>Image courtesy of Grip<\/em><\/figcaption><\/figure>\n<h2><b>L\u2019Or\u00e9al<\/b><b> Gives Marketing and Online Shopping an AI Makeover<\/b><\/h2>\n<p>Innovation starts at the drawing board. Today, that board is digital \u2014 and it\u2019s powered by AI.<\/p>\n<p>L\u2019Or\u00e9al Groupe, the world\u2019s leading beauty player, announced its collaboration with NVIDIA today. Through this collaboration, L\u2019Or\u00e9al and its partner ecosystem will leverage the NVIDIA AI Enterprise platform to transform its consumer beauty experiences, marketing and advertising content pipelines.<\/p>\n<p>\u201cAI doesn\u2019t think with the same constraints as a human being. That opens new avenues for creativity,\u201d said Anne Machet, global head of content and entertainment at L\u2019Or\u00e9al. \u201cGenerative AI enables our teams and partner agencies to explore creative possibilities.\u201d<\/p>\n<p>CreAItech, L\u2019Or\u00e9al\u2019s generative AI content platform, is augmenting the creativity of marketing and content teams. Combining a modular ecosystem of models, expertise, technologies and partners \u2014 including NVIDIA \u2014 CreAltech empowers marketers to generate thousands of unique, on-brand images, videos and lines of text for diverse platforms and global audiences.<\/p>\n<p>The solution empowers L\u2019Or\u00e9al\u2019s marketing teams to quickly iterate on campaigns that improve consumer engagement across social media, e-commerce content and influencer marketing \u2014 driving higher conversion rates.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone size-medium wp-image-82084\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/06\/retail-gtc-paris-2025-corp-blog-1280x680-r1-960x510.png\" alt=\"\" width=\"960\" height=\"510\"><\/p>\n<p><a target=\"_blank\" href=\"https:\/\/noli.com\/\" rel=\"noopener\">Noli.com<\/a>, the first AI-powered multi-brand marketplace startup founded and backed by the\u00a0 L\u2019Or\u00e9al Groupe, is reinventing how people discover and shop for beauty products.<\/p>\n<p>Noli\u2019s AI Beauty Matchmaker experience uses L\u2019Or\u00e9al Groupe\u2019s 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.<\/p>\n<p>\u201cBeauty shoppers are often overwhelmed by choice and struggling to find the products that are right for them,\u201d said Amos Susskind, founder and CEO of Noli. \u201cBy applying the latest AI models accelerated by NVIDIA and Accenture to the unparalleled knowledge base and expertise of the L\u2019Or\u00e9al Groupe, we can provide hyper-personalized, explainable recommendations to our users.\u201d\u00a0<img decoding=\"async\" loading=\"lazy\" class=\"alignnone size-medium wp-image-82096\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/06\/Noli_Image_Purp_V2-1.png\" alt=\"\" width=\"1\" height=\"1\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone size-medium wp-image-82096\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/06\/Noli_Image_Purp_V2-1.png\" alt=\"\" width=\"1\" height=\"1\"><\/p>\n<p>The Accenture AI Refinery, powered by NVIDIA AI Enterprise, will provide the platform for Noli to experiment and scale. Noli\u2019s new agent models will use <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/ai-data-science\/products\/nim-microservices\/\" rel=\"noopener\">NVIDIA NIM<\/a> and <a target=\"_blank\" href=\"https:\/\/catalog.ngc.nvidia.com\/orgs\/nvidia\/teams\/nemo-microservices\/collections\/nemo-microservices\" rel=\"noopener\">NVIDIA NeMo microservices<\/a>, including <a target=\"_blank\" href=\"https:\/\/developer.nvidia.com\/nemo-retriever\" rel=\"noopener\">NeMo Retriever<\/a>, running on Microsoft Azure.<\/p>\n<h2><b>Rapid Innovation With the NVIDIA Partner Ecosystem<\/b><\/h2>\n<p>NVIDIA\u2019s 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.<\/p>\n<p>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 <a target=\"_blank\" href=\"https:\/\/developer.nvidia.com\/triton-inference-server\" rel=\"noopener\">Triton Inference Server<\/a> for lightning-fast inference.<\/p>\n<p>AI image solutions provider Bria is helping retail giants like Lidl and L\u2019Oreal 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.<\/p>\n<p>The company\u2019s generative AI platform uses NVIDIA Triton Inference Server software and the<a target=\"_blank\" href=\"https:\/\/developer.nvidia.com\/tensorrt\" rel=\"noopener\"> NVIDIA TensorRT<\/a> software development kit for accelerated inference, as well as NVIDIA NIM and NeMo microservices for quick image generation at scale.<\/p>\n<h2><b>Physical AI Brings Acceleration to Supply Chain and Logistics<\/b><\/h2>\n<p>AI\u2019s impact extends far beyond the digital world. Physical AI-powered warehousing robots, for example, are helping maximize efficiency in retail supply chain operations. <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/lp\/industries\/state-of-ai-in-retail-and-cpg\/?nvid=nv-int-tblg-930572-vt23\" rel=\"noopener\">Four in five retail companies<\/a> have reported that AI has helped reduce supply chain operational costs, with 25% reporting cost reductions of at least 10%.<\/p>\n<p>Technology providers Lyric, KoiReader Technologies and Exotec are tackling the challenges of integrating AI into complex warehouse environments.<\/p>\n<p>Lyric is using the <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/ai-data-science\/products\/cuopt\/\" rel=\"noopener\">NVIDIA cuOpt<\/a> 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 <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/autonomous-machines\/intelligent-video-analytics-platform\/\" rel=\"noopener\">NVIDIA Metropolis<\/a> 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 <a target=\"_blank\" href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\" rel=\"noopener\">NVIDIA JetPack<\/a> software development kit for embedded robotic systems in warehouse and distribution centers.<\/p>\n<p>From real-time robotics orchestration to predictive maintenance, these solutions are delivering impact on uptime, throughput and cost savings for supply chain operations.<\/p>\n<p>Learn more by joining a follow-up discussion on digital twins and AI-powered creativity with Microsoft, Nestl\u00e9, Accenture and NVIDIA at <a target=\"_blank\" href=\"https:\/\/mscanneslions2025.eventcore.com\/auth\/login\" rel=\"noopener\">Cannes Lions on Monday, June 16<\/a>.<\/p>\n<p><em>Watch the <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-eu\/gtc\/keynote\/\" rel=\"noopener\">NVIDIA GTC Paris keynote<\/a> from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-eu\/gtc\/session-catalog\/?tab.allsessions=1700692987788001F1cG#\/\" rel=\"noopener\">GTC Paris sessions<\/a>.<\/em><\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/blogs.nvidia.com\/blog\/retail-agentic-physical-ai\/<\/p>\n","protected":false},"author":0,"featured_media":4032,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/4031"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=4031"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/4031\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/4032"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=4031"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=4031"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=4031"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}