{"id":868912,"date":"2025-08-20T16:41:02","date_gmt":"2025-08-20T16:41:02","guid":{"rendered":"https:\/\/www.capgemini.com\/dk-en\/?p=868912&#038;preview=true&#038;preview_id=868912"},"modified":"2025-10-17T16:43:12","modified_gmt":"2025-10-17T16:43:12","slug":"supply-chain-resilience-the-ai-way","status":"publish","type":"post","link":"https:\/\/www.capgemini.com\/dk-en\/insights\/expert-perspectives\/supply-chain-resilience-the-ai-way\/","title":{"rendered":"Supply chain resilience \u2013 the AI way"},"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>Supply chain resilience \u2013 the AI way<\/h1><\/div><\/div><\/div><\/div><div class=\"hero-blogs-bottom\"><div class=\"header-author\"><div class=\"author-img\"><img decoding=\"async\" src=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2024\/02\/Sudarshan-Sahu.jpg?w=200&amp;quality=10\" alt=\"\" loading=\"lazy\"\/><\/div><div class=\"author-name-date\"><h5 class=\"author-name\">Sudarshan Sahu<\/h5><h5 class=\"blog-date\">August 20, 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?u=https:\/\/www.capgemini.com\/?p=1065402\" 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-li\"><a href=\"https:\/\/www.linkedin.com\/shareArticle?url=https:\/\/www.capgemini.com\/?p=1065402\" 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<h3 class=\"wp-block-heading\" id=\"h-climate-change-isn-t-a-distant-threat-it-s-a-reality-to-deal-with-now\">Climate change isn&#8217;t a distant threat\u2014it&#8217;s a reality to deal with now.<\/h3>\n\n\n\n<p>Businesses need to rethink how they operate, especially when it comes to supply chains, which are crucial for global trade. Just like in the movie Interstellar, where survival depended on data, AI, and adaptability, today&#8217;s supply chains need to be flexible and smart to handle disruptions and climate challenges. AI-powered insights and actions are like the movie\u2019s robot TARS: helping predict risks, optimize logistics, and reduce waste. Data ensures that every decision is as precise as a gravity equation. AI enhances precision in supply chains by analyzing vast data in real time, predicting risks, and optimizing logistics. It\u2019s the key to transforming supply chains into smarter, greener, and more resilient systems that balance profitability with ecological responsibility.<\/p>\n\n\n\n<p>Supply chains aren\u2019t just stretched \u2014 they\u2019re under siege. Disruption is no longer the exception; it\u2019s the norm. That\u2019s why resilience \u2014 the ability to anticipate, adapt, and recover fast \u2014 has shifted from nice-to-have to non-negotiable. A recent report from <a href=\"https:\/\/www.thebci.org\/resource\/bci-supply-chain-resilience-report-2024.html\">The Business Continuity<\/a> Institute delivers the reality check: 80% of organizations faced supply chain disruptions last year, most more than once. That\u2019s an uptick despite better planning \u2014 proof that we\u2019re still reacting more than we\u2019re preparing. Meanwhile, sustainability pressures are mounting. With supply chains responsible for over 60% of global carbon emissions, according to the World Economic Forum, they\u2019re no longer just operational engines \u2014 they\u2019re climate liabilities too.<\/p>\n\n\n\n<p>Let\u2019s face it\u2014what we\u2019re doing right now isn\u2019t cutting it. The cracks in our supply chains are showing, and incremental fixes won\u2019t be enough. It\u2019s time for bold moves. If we want supply chains that can truly withstand shocks and stay ahead of the curve, we need to lean into smarter, faster, more adaptive solutions. That\u2019s where AI steps in\u2014not just as a tool, but as a game-changer. With its ability to forecast disruptions, optimize operations, and accelerate response times, AI is shaping the supply chains of the future. To stay ahead, companies must embrace green supply chain management (GSCM), where sustainability is built into every step. AI supercharges this shift, turning GSCM into a smart, data-driven engine. From cutting carbon to driving circular economies, AI enables supply chains that are not just efficient, but truly green.<\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Resilience, not yet autonomous: Supply chains still heavily rely on people<\/strong><\/p>\n\n\n\n<p>Supply chains are navigating a perfect storm: geopolitical instability, extreme weather, shifting consumer expectations \u2014 and growing uncertainty in global trade. Disruptions are no longer outliers; they\u2019re part of the operating environment. While many organizations are embedding risk management into supply chain strategy, execution is still stuck in manual mode. Too much effort goes into collecting, cleaning, and stitching together data \u2014 leaving little room for insight, foresight, or speed. AI and machine learning are still underused, and critical response actions often rely on human intervention alone. The result? Slow reactions, mounting workloads, and talent focused on firefighting instead of forward-thinking.<\/p>\n\n\n\n<p><strong>What\u2019s missing?<\/strong> Technology that doesn\u2019t just capture and store data, but actively turns it into prescriptive insights and clear, actionable recommendations. Unfortunately, most tools in the market today still fall short of that promise. Instead, businesses are left stitching together manual processes and siloed teams to make sense of a rapidly changing environment. To build truly resilient supply chains, we need to shift from reactive, human-heavy models to intelligent, tech-augmented systems. The future isn\u2019t about replacing people\u2014it\u2019s about empowering them with tools that amplify their decision-making, speed up response times, and free them to focus on what matters most.<\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Greening the chain: How AI and data are changing the game<\/strong><\/p>\n\n\n\n<p>Data and AI are at the core of this transformation, delivering unmatched insights, predictive accuracy, and optimization potential. By leveraging real-time data and predictive analytics, AI can identify potential risks\u2014such as supplier delays, extreme weather, or geopolitical issues\u2014before they impact operations. This early warning capability allows businesses to proactively mitigate threats through alternative sourcing, dynamic rerouting, or inventory adjustments. AI also enables scenario modeling, helping organizations test various disruption scenarios and build contingency plans with data-backed confidence. As a result, companies can maintain continuity, reduce downtime, and ensure customer satisfaction, even in the face of unexpected challenges. In today\u2019s volatile global environment, AI is no longer a luxury but a critical enabler of resilient and future-ready supply chains.<\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>AI-enhanced supply chain resilience framework<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img decoding=\"async\" src=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2025\/08\/infographics-1-1.png?w=960\" alt=\"\" class=\"wp-image-1151704\" style=\"width:650px\"\/><\/figure>\n\n\n\n<p>The AI-enhanced supply chain resilience framework strengthens supply chain agility and robustness by harnessing advanced AI technologies. It integrates real-time data from IoT devices into a centralized system for comprehensive analysis. Through predictive analytics and machine learning, the framework forecasts demand and detects potential risks\u2014like supplier disruptions or market shifts\u2014enabling proactive risk mitigation and smarter decisions in areas like inventory and logistics.<\/p>\n\n\n\n<p>AI-driven communication tools improve collaboration with suppliers and stakeholders, ensuring seamless, transparent information flow. Continuous monitoring and adaptive feedback loops allow the supply chain to respond swiftly to changing conditions, driving ongoing improvement and innovation. By adopting this framework, businesses gain end-to-end visibility, reduce vulnerabilities, and ensure operational continuity\u2014ultimately building a more resilient and high-performing supply chain.<\/p>\n\n\n\n<p>Leveraging AI enables businesses to streamline operations, improve efficiency, cut costs, and elevate customer experiences. One powerful application is demand forecasting, where AI analyzes historical data to accurately predict customer needs. This leads to smarter inventory management\u2014minimizing overstock and stockouts while optimizing capital use. Another key use case is route optimization. AI-driven tools evaluate factors like weather, traffic, and transport costs to determine the most efficient delivery paths. This reduces time and expenses while ensuring faster, more reliable service that meets growing customer expectations.<\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>How organizations can harness it effectively:<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2025\/08\/infographics-2-1.png?w=960\" alt=\"\" class=\"wp-image-1151705\"\/><\/figure>\n\n\n\n<p>According to the <a href=\"https:\/\/my.idc.com\/getdoc.jsp?containerId=prAP51802324\">International Data Corporation (IDC)<\/a>, 55% of Forbes Global 2000 OEMs are projected to have revamped their service supply chains with AI and by 2026, 60% of Asia based 2000 companies will use generative artificial intelligence (GenAI) tools to support core supply chain processes as well as dynamic supply chain design and will leverage AI to reduce operating costs by 5%.\u202fThis\u202fsignifies a widespread adoption of AI to improve efficiency and gain a competitive advantage in supply chain management. Further, Generative AI can be harnessed to monitor global events and proactively identify emerging risks. It can automatically generate risk assessments, simulate scenarios, and suggest strategic mitigation plans\u2014empowering supply chain teams to manage risks more effectively. Its conversational interface enhances user experience and accelerates response times. Over time, this evolves into a system-guided, data-driven approach, drawing from a rich library of scenarios and mitigation strategies to deliver contextual, timely responses to risk events.<\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Considering all of the facts<\/strong><\/p>\n\n\n\n<p>The fusion of data and AI isn\u2019t just a tech upgrade \u2014 it\u2019s a strategic shift for building supply chains that can bend without breaking. Organizations that embed intelligence into their operations now won\u2019t just survive the next disruption \u2014 they\u2019ll lead the transition to greener, faster, more adaptive ecosystems. By 2025, global supply chains will be reengineered out of necessity and powered by innovation. AI won\u2019t just help companies \u2014 it will help nations stay resilient, competitive, and climate-conscious. It will redefine how we make, move, and manage everything. And like TARS in Interstellar, the most effective systems won\u2019t just follow instructions \u2014 they\u2019ll anticipate, adapt, and act as true copilots. What supply chains need now isn\u2019t just visibility. It\u2019s vision.<\/p>\n\n\n\n<p><strong>Start innovating now \u2013<\/strong><\/p>\n\n\n\n<p><strong>Give your supply chain an AI-enabled sixth sense<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Plug your supply chain into real-time feeds\u2014from IoT sensors to storm trackers\u2014and let AI act like your all-seeing oracle. Spot trouble (like delayed shipments or political curveballs) before it hits the fan<\/li>\n<\/ul>\n\n\n\n<p><strong>Make generative AI your strategic co-pilot<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Leverage Generative AI to generate real-time risk assessments, simulate disruption scenarios, and recommend mitigation strategies, all in a conversational interface<\/li>\n<\/ul>\n\n\n\n<p><strong>Build a digital twin\u2014your virtual supply chain lab<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Think of it as a flight simulator for your supply chain. A digital twin lets you mirror operations in a virtual space to test \u201cwhat-if\u201d scenarios\u2014from port delays to carbon constraints\u2014without breaking a sweat in real life.<\/li>\n<\/ul>\n\n\n\n<p><strong>Interesting read? ÎÚÑ»´«Ã½\u2019s Innovation publication<\/strong>,<strong> <a href=\"https:\/\/www.capgemini.com\/dk-en\/insights\/research-library\/data-powered-innovation-review-wave-10\/\">Data-powered Innovation Review &#8211; Wave 10<\/a> features more such captivating innovation articles <\/strong>with contributions from leading experts from ÎÚÑ»´«Ã½. Explore the transformative potential of generative AI, data platforms, and sustainability-driven tech. Find all previous Waves here. \u00a0<a href=\"https:\/\/www.capgemini.com\/dk-en\/insights\/research-library\/data-powered-innovation-review\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Find all previous Waves here<\/strong><\/a><strong>.<\/strong><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/section>\n\n\n\n<section class=\"section section--expert-slider wrapper-people-slider wp-block-cg-blocks-wrapper-people-slider undefined\"><div class=\"container\"><div class=\"content-title\"><h2 data-maxlength=\"34\" class=\"people-heading-title\">Meet the 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\/wp-content\/uploads\/2024\/02\/Sudarshan-Sahu.jpg\" alt=\"Sudarshan Sahu\"\/>\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\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a aria-label=\"Linkedin\" target=\"_blank\" href=\"https:\/\/www.linkedin.com\/in\/sudarshan-sahu-b60b3587\/\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><\/a><\/li>\n\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\">Sudarshan Sahu<\/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>Process Lead, Emerging Technology Team, Data Futures Domain, ÎÚÑ»´«Ã½<\/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\t\t<li><a aria-label=\"Linkedin\" target=\"_blank\" href=\"https:\/\/www.linkedin.com\/in\/sudarshan-sahu-b60b3587\/\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><\/a><\/li>\n\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\">Sudarshan possesses deep knowledge in emerging big data technologies, data architectures, and implementing cutting-edge solutions for data-driven decision-making. He is enthusiastic about exploring and adopting the latest trends in big data, blending innovation with practical strategies for sustainable growth. At the forefront of the industry, currently he is working on projects that harness AI-driven analytics and machine learning to shape the next generation of big data solutions. He likes to stay ahead of the curve in big data trends to propel businesses into the future.<\/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>Resilience, Not Yet Autonomous: Supply Chains Still Heavily Rely on People<\/p>\n","protected":false},"author":315,"featured_media":868913,"comment_status":"open","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":"","_jetpack_memberships_contains_paid_content":false,"footnotes":"","featured_focal_points":""},"categories":[1],"tags":[634,406,688,689,411,690],"brand":[],"service":[110],"industry":[],"partners":[],"blog-topic":[124],"content-group":[],"class_list":["post-868912","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-ai","tag-artificial-intelligence","tag-autonomous","tag-climate-change","tag-data","tag-supply-chains","service-data-ai","blog-topic-data-and-ai"],"yoast_head":"<!-- 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