{"id":548678,"date":"2025-06-30T12:33:15","date_gmt":"2025-06-30T12:33:15","guid":{"rendered":"https:\/\/www.capgemini.com\/mx-es\/?p=548678&#038;preview=true&#038;preview_id=548678"},"modified":"2025-06-30T12:33:37","modified_gmt":"2025-06-30T12:33:37","slug":"building-on-ambition-enabling-the-future-of-manufacturing-with-gen-ai","status":"publish","type":"post","link":"https:\/\/www.capgemini.com\/mx-es\/insights\/expert-perspectives\/building-on-ambition-enabling-the-future-of-manufacturing-with-gen-ai\/","title":{"rendered":"Building on ambition: Enabling the future of manufacturing with Gen AI"},"content":{"rendered":"\n<header class=\"wp-block-cg-blocks-hero-blogs header-hero-blogs\"><div class=\"container\"><div class=\"hero-blogs\"><div class=\"hero-blogs-content-wrapper\"><div class=\"row\"><div class=\"col-12\"><div class=\"header-title\"><h1>Building on ambition: Enabling the future of manufacturing with Gen AI<\/h1><\/div><\/div><\/div><\/div><div class=\"hero-blogs-bottom\"><div class=\"header-author\"><div class=\"author-img\"><img decoding=\"async\" src=\"\/wp-content\/themes\/capgemini2020\/assets\/images\/cg-logo.png?w=200&amp;quality=10\" alt=\"\" loading=\"lazy\"\/><\/div><div class=\"author-name-date\"><h5 class=\"author-name\">Sandeep Chandran &amp; Anant Kumar Rai<\/h5><h5 class=\"blog-date\">14 Apr 2025<\/h5><\/div><\/div><div class=\"brand-image\"> <\/div><\/div><\/div><\/div><\/header>\n\n\n\n<section class=\"wp-block-cg-blocks-group undefined section section--article-content\"><div class=\"article-main-content\"><div class=\"container\"><div class=\"row\"><div class=\"col-12 col-md-1\"><nav class=\"article-social\"><ul class=\"social-nav\"><li class=\"ip-order-fb\"><a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?=http:\/\/capgeminiucwe.develop\/?post_type=press-release&amp;p=179\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-fb\"><\/i><span class=\"sr-only\">Facebook<\/span><\/a><\/li><li class=\"ip-order-tw\"><a href=\"https:\/\/twitter.com\/intent\/tweet?=http:\/\/capgeminiucwe.develop\/?post_type=press-release&amp;p=179\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-tw\"><\/i><span class=\"sr-only\">Twitter<\/span><\/a><\/li><li class=\"ip-order-li\"><a href=\"https:\/\/www.linkedin.com\/shareArticle?=http:\/\/capgeminiucwe.develop\/?post_type=press-release&amp;p=179\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><span class=\"sr-only\">Linkedin<\/span><\/a><\/li><\/ul><\/nav><\/div><div class=\"col-12 col-md-11 col-lg-10\"><div class=\"article-text article-quote-text\">\n\n<h3 class=\"wp-block-heading\" id=\"h-gen-ai-is-certainly-one-of-today-s-hottest-boardroom-topics-organizations-of-every-shape-and-size-are-looking-at-the-technology-and-asking-questions-of-how-it-can-help-optimize-the-core-tasks-processes-and-workflows-that-underpin-everything-they-do\">Gen AI is certainly one of today\u2019s hottest boardroom topics. Organizations of every shape and size are looking at the technology and asking questions of how it can help optimize the core tasks, processes, and workflows that underpin everything they do.<\/h3>\n\n\n<p>Equally, and as covered in previous blogs, the application of Gen AI is almost boundless \u2013 from <a href=\"https:\/\/www.capgemini.com\/insights\/expert-perspectives\/a-catalyst-for-change-gen-ai-in-rise-with-sap-transformations\/\">inspiring large RISE with SAP transformations<\/a> to <u><a href=\"https:\/\/www.capgemini.com\/insights\/expert-perspectives\/enabling-innovation-gen-ai-for-the-clean-core-and-the-future-of-software-development\/\">reimagining the software development life cycle<\/a><\/u>.<\/p>\n\n\n<p>Yet while big-picture thinking on the full potential of Gen AI is a critical, ongoing endeavor, it\u2019s also vital to follow up such analysis of what\u2019s possible with practical use cases.<\/p>\n\n\n<p>Knowing what Gen AI can do in creating new content, simplifying the analysis of complex data streams, and streamlining information access is important \u2013 but so is understanding how this capability can be applied to day-to-day realities. So, with that in mind, let\u2019s look at opportunities for applying Gen AI within a specific industry sector \u2013 in this instance manufacturing.<\/p>\n\n\n<h4 class=\"wp-block-heading\" id=\"h-getting-productive\"><strong>Getting productive<\/strong><\/h4>\n\n\n<p>Speak to any manufacturer about their operational challenges, and common issues soon emerge relating to the seemingly endless task of improving productivity. A task made excessively complex by the myriad variables involved, ranging from material availability to unexpected machine breakdowns.<\/p>\n\n\n<p>What\u2019s more, surrounding any manufacturing process is a wealth of structured and unstructured data \u2013 typically residing in SAP and non-SAP systems \u2013 that if available in a timely manner can provide both advance warning of upcoming problems and options for immediate resolution.<\/p>\n\n\n<p>In effect, efforts to overcome the \u201cproductivity barrier\u201d are ultimately focused on turning this raw data into actionable insight. To this end, many technologies, from manufacturing execution systems (MES) to advanced analytics, are already employed. Indeed, much of the required insight can be made available and embedded into established workflows.<\/p>\n\n\n<p>But with its ability to be trained to follow precise rules, analyze vast data sets, detect discrepancies, and provide tailored responses, Gen AI can truly \u201cdemocratize\u201d the flow of insight across manufacturing operations. This is a capability that in turn lowers the barrier for people to discover (or receive) timely intelligence on which to base their decisions.<strong><\/strong><\/p>\n\n\n<h4 class=\"wp-block-heading\" id=\"h-advancing-the-journey-to-industry-4-0-and-beyond\"><strong>Advancing the journey to Industry 4.0 (and beyond)<\/strong><\/h4>\n\n\n<p>The Capgemini Research Institute\u2019s report, <a href=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2024\/07\/Generative-AI-in-Organizations-Refresh-2.pdf\"><em>Harnessing the value of generative AI: 2nd edition \u2013 Top use cases across sectors<\/em><\/a>, highlights how organizations are leveraging generative AI to enhance operational efficiency, foster innovation, and unlock new revenue streams across industries, including manufacturing.<\/p>\n\n\n<p>Here are a few examples of manufacturing capabilities currently being developed by Capgemini:<\/p>\n\n\n<p><strong>Asset availability<\/strong> \u2013 with Gen AI models able to create real-time forecasts of capacity, predict potential machine stoppages, and maintain a more dynamic form of production scheduling that can react instantly to any stoppages or lack of available resources\/labor.<\/p>\n\n\n<p><strong>Product quality<\/strong> \u2013 where quality checklists incorporate voice controls and real-time updates based on product-specific quality intelligence, to fast-track the process both at the assembly line and within the warehouse operation.<\/p>\n\n\n<p><strong>Workforce self-service<\/strong> \u2013 with Gen AI used to diagnose the root cause of high priority issues, suggest possible resolutions to users, and propose long-term solutions to prevent recurrence \u2013 as well as the process and time needed to implement them.<\/p>\n\n\n<p><strong>Supply chain optimization<\/strong> \u2013 where Gen AI combines historical data with real-time forecasts to create highly detailed bills of materials (BOMs) and matching this to existing stock levels and known supplier availability to cover predicted shortfalls.<\/p>\n\n\n<h4 class=\"wp-block-heading\" id=\"h-time-to-insight\"><strong>Time to insight<\/strong><\/h4>\n\n\n<p>With all these use cases, the value of Gen AI comes in its ability to provide a simplified interface between users and a bewildering array of complex data. Answers can be found without using the technology, but often in a way that requires too much time and effort to make the process viable \u2013 as well as a basic skill level for performing such analysis. Which is why, in the past, key insights that could transform both user productivity and customer relationships were often left hidden in the detail.<\/p>\n\n\n<p>An example of Gen AI turning vast data sources into meaningful insight can be found in a current project with a semiconductor manufacturer using SAP solutions. As with any Gen AI initiative, the work has originated from a clear operational problem:<\/p>\n\n\n<ul class=\"wp-block-list\">\n\n<li>The client has a portfolio spanning thousands of products and components \u2013 each accompanied by a mass of documentation.<\/li>\n\n\n<li>Responding to customer queries means people having to navigate through these design and specification documents to find answers \u2013 an exhaustively inefficient process.<\/li>\n\n\n<li>As a result, customers may not always be presented with the ideal product recommendations, and receive a slow response to any urgent sales inquiry.<\/li>\n\n<\/ul>\n\n\n<p>Where Gen AI can help is in bringing together the structured and unstructured documentation surrounding each product. This data can then be queried via a conversational chat window, with responses increasingly tailored to the expectations and personalities of individual users. As a result, sales and technical employees can now ask questions \u2013 such as \u201cwhat\u2019s the best components mix to meet a customer\u2019s precise specification?\u201d and \u201cwhat\u2019s the fastest, most economical and sustainable way to supply these products from our global operation?\u201d \u2013 and receive answers in seconds.<\/p>\n\n\n<h4 class=\"wp-block-heading\" id=\"h-final-thoughts\"><strong>Final thoughts<\/strong><\/h4>\n\n\n<p>Gen AI opens a window into an organization\u2019s collective knowledge and intellectual property. It is a trained intelligence able to interpret a user\u2019s intent and produce the most relevant data possible. It\u2019s about radically shortening time to query and providing a layer of contextual understanding that helps advance the collective ambition for Industry 4.0 and beyond.<\/p>\n\n\n<p>Challenges exist in introducing an industrialized Gen AI solution that can be trusted to consistently deliver authentic answers, from architecting the right solution to implementing the correct policies and controls. But as Capgemini is routinely demonstrating, these issues can be quickly solved with a robust implementation process and in-depth industry expertise. The hardest part remains the conceptualization of different use cases and imagining how and where Gen AI can complement existing processes \u2013 while inspiring new ways of tackling old problems.<\/p>\n\n<section class=\"section section--expert-perspectives\"><div class=\"container\"><div class=\"row\"><div class=\"content-title col-12 col-md-8\"><h2 class=\"expert-heading\">Learn more<\/h2><\/div><\/div><div class=\"expert-prospective-container\"><div class=\"row\"><\/div><\/div><\/div><\/section>\n\n<p><a id=\"_msocom_1\"><\/a><\/p>\n\n<\/div><\/div><\/div><\/div><\/div><\/section>\n\n\n\n<section class=\"wp-block-cg-blocks-wrapper-people-slider section section--expert-slider wrapper-people-slider undefined\"><div class=\"container\"><div class=\"content-title\"><h2 data-maxlength=\"34\" class=\"people-heading-title\">Author<\/h2><\/div><\/div><div class=\"slider slider-boxed\"><div class=\"container\"><div class=\"slider-window\"><div class=\"slider-list\">\t\t<div class=\"slide\">\n\t\t\t<div class=\"box\">\n\t\t\t\t<div class=\"row\">\n\t\t\t\t\t<div class=\"col-md-6 col-lg-4 box-img-wrapper\">\n\t\t\t\t\t\t<img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.capgemini.com\/mx-es\/wp-content\/uploads\/sites\/28\/2025\/06\/Sandeep-Chandran.jpg\" alt=\"Sandeep Chandran\"\/>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"col-md-6 col-lg-8 box-inner\">\n\t\t\t\t\t\t<div class=\"row title-social-media-header\">\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 mbl-social-icon\">\n\t\t\t\t\t\t\t\t<ul class=\"social-nav\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li>\n\t\t\t\t\t\t\t\t\t\t\t<a class=\"subnav-button--form\" href=\"javascript:void(0)\" aria-label=\"contacta con nosotros\" data-bs-toggle=\"modal\" data-bs-target=\"#WPB908f2d01_c90b_4dfb_a093_cef718b6deec\" data-bs-expert-title=\"1\">\n\t\t\t\t\t\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"ico-form\"><\/i>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 box-container\">\n\t\t\t\t\t\t\t\t<div class=\"box-title\">\n\t\t\t\t\t\t\t\t\t<h3 class=\"people-profile-title\">Sandeep Chandran<\/h3>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span>Gen AI Expert, Senior Director, Global CoE \u2013 PBS, Capgemini<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 social-box-container dkt-social-icon\">\n\t\t\t\t\t\t\t\t<ul class=\"social-nav\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"people-info\">Sandeep has a 20+ years of experience in creating the solutions and consulting on SAP across industries for various clients across geographies. He is experienced in Agile Innovation, Product Development in Digital and Emerging Technologies with strong Technology Leadership, Project Management, Team Leadership &#038; Customer Interaction skills. Adopting and incubating emerging technologies that leverage the full potential of SAP through automation and Artificial Intelligence to help businesses transition to the NEW IT ecosystem.<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div><\/div><\/div><div class=\"slider-nav\"><button class=\"slider-prev inactive\" aria-label=\"Slider-previous\" tabindex=\"-1\"><\/button><ul class=\"slider-paginator\"><\/ul><button class=\"slider-next\" aria-label=\"Slider-next\"><\/button><\/div><\/div><\/section>\n","protected":false},"excerpt":{"rendered":"<p>Building on ambition: Enabling the future of manufacturing with Gen AI<\/p>\n","protected":false},"author":755,"featured_media":548679,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"cg_dt_proposed_to":[],"cg_seo_hreflang_relations":"[]","cg_seo_canonical_relation":"","cg_seo_hreflang_x_default_relation":"","cg_dt_approved_content":true,"cg_dt_mandatory_content":false,"cg_dt_notes":"","cg_dg_source_changed":false,"cg_dt_link_disabled":false,"_yoast_wpseo_primary_brand":"82","_jetpack_memberships_contains_paid_content":false,"footnotes":"","featured_focal_points":""},"categories":[1],"tags":[256],"brand":[82],"service":[],"industry":[201],"partners":[96],"blog-topic":[509],"content-group":[],"class_list":["post-548678","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-artificial-intelligence","brand-capgemini","industry-manufacturing","partners-sap","blog-topic-gen-ai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.8 (Yoast SEO v22.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Building on ambition: Enabling the future of manufacturing with Gen AI<\/title>\n<meta name=\"description\" content=\"Gen AI opens a window into an organization\u2019s collective knowledge and intellectual property. 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