{"id":3861,"date":"2026-03-09T18:09:58","date_gmt":"2026-03-09T18:09:58","guid":{"rendered":"https:\/\/ladingcargo.com\/blog\/?p=3861"},"modified":"2026-04-20T18:49:13","modified_gmt":"2026-04-20T18:49:13","slug":"predictive-analytics-for-supply-chain-resilience-in-2030","status":"publish","type":"post","link":"https:\/\/ladingcargo.com\/blog\/predictive-analytics-for-supply-chain-resilience-in-2030\/","title":{"rendered":"Predictive Analytics for Supply Chain Resilience in 2030"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">How can companies predict problems and keep their supply chains working well, even in uncertain times?\u00a0<\/span><span style=\"font-weight: 400;\">predictive analytics in supply chain.\u00a0<\/span><\/p>\n<p><i><\/i><span style=\"font-weight: 400;\">Supply chains play a significant role in the world\u2019s business activities. Supply chains link manufacturers, suppliers, distributors, and customers from the raw materials to the final product. In the last few years, the world\u2019s supply chains have experienced several disruptions, such as the COVID-19 pandemic, geopolitical issues, natural disasters, and shifts in demand patterns. These have shown that the world\u2019s supply chains are highly vulnerable.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For this reason, companies are now finding ways to predict problems before they happen. So, there comes <\/span>predictive analytics in the supply chain<span style=\"font-weight: 400;\">. It uses historical data, advanced algorithms, and digital technologies to help organizations forecast future situations and make better decisions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">By 2030, predictive analytics is expected to become an important tool in building resilient supply chains.\u00a0<\/span><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/ladingcargo.com\/blog\/predictive-analytics-for-supply-chain-resilience-in-2030\/#What_is_Predictive_Analytics\" >What is Predictive Analytics?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/ladingcargo.com\/blog\/predictive-analytics-for-supply-chain-resilience-in-2030\/#Why_Supply_Chain_Resilience_Matters\" >Why Supply Chain Resilience Matters<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/ladingcargo.com\/blog\/predictive-analytics-for-supply-chain-resilience-in-2030\/#How_Predictive_Analytics_Improves_Supply_Chain_Resilience\" >How Predictive Analytics Improves Supply Chain Resilience<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/ladingcargo.com\/blog\/predictive-analytics-for-supply-chain-resilience-in-2030\/#Predictive_Supply_Chain_Technologies\" >Predictive Supply Chain Technologies<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/ladingcargo.com\/blog\/predictive-analytics-for-supply-chain-resilience-in-2030\/#Key_Benefits_for_Businesses\" >Key Benefits for Businesses<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/ladingcargo.com\/blog\/predictive-analytics-for-supply-chain-resilience-in-2030\/#Growing_Adoption_of_Predictive_Analytics\" >Growing Adoption of Predictive Analytics<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/ladingcargo.com\/blog\/predictive-analytics-for-supply-chain-resilience-in-2030\/#Supply_Chain_Performance_with_Predictive_Analytics\" >Supply Chain Performance with Predictive Analytics<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/ladingcargo.com\/blog\/predictive-analytics-for-supply-chain-resilience-in-2030\/#Challenges_in_Implementing_Predictive_Analytics\" >Challenges in Implementing Predictive Analytics<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/ladingcargo.com\/blog\/predictive-analytics-for-supply-chain-resilience-in-2030\/#Future_of_Supply_Chains_by_2030\" >Future of Supply Chains by 2030<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/ladingcargo.com\/blog\/predictive-analytics-for-supply-chain-resilience-in-2030\/#Conclusion\" >Conclusion<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"What_is_Predictive_Analytics\"><\/span><b>What is Predictive Analytics?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Predictive analytics is the use of data, statistical models, and machine learning to predict future results. It prevents problems from occurring since the patterns can identify the risks in advance.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For example, predictive analytics can help companies:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Assess customer demand more accurately<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Identify possible supplier delays<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Predict transportation issues<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Optimize inventory levels<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">As a result, organizations can respond faster and avoid costly disruptions.<\/span><\/p>\n<h2><b><img decoding=\"async\" class=\"alignnone wp-image-4272\" src=\"https:\/\/ladingcargo.com\/blog\/wp-content\/uploads\/2026\/03\/Untitled-design-4-300x108.jpg\" alt=\"Supply chain\" width=\"1386\" height=\"499\" srcset=\"https:\/\/ladingcargo.com\/blog\/wp-content\/uploads\/2026\/03\/Untitled-design-4-300x108.jpg 300w, https:\/\/ladingcargo.com\/blog\/wp-content\/uploads\/2026\/03\/Untitled-design-4.jpg 669w\" sizes=\"(max-width: 1386px) 100vw, 1386px\" \/><\/b><\/h2>\n<h2><span class=\"ez-toc-section\" id=\"Why_Supply_Chain_Resilience_Matters\"><\/span><b>Why Supply Chain Resilience Matters<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Supply chain resilience enables the supply network be prepared for challenges and respond smartly. Now, supply chains are more complex and interconnected worldwide than ever before. It undoubtedly increases efficiency, but vulnerabilities also increase.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For example, a delay from one supplier can affect multiple companies across different regions. Therefore, businesses must adopt technologies that allow them to monitor risks and act accordingly.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"How_Predictive_Analytics_Improves_Supply_Chain_Resilience\"><\/span><b>How Predictive Analytics Improves Supply Chain Resilience<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Predictive analytics supports supply chain resilience in several important ways.<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">It helps in demand forecasting. Thus, companies can analyze past sales, seasonal trends, and market signals to predict customer demand precisely. It prevents both shortages and excess inventory.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Predictive tools help identify supplier risks. If a supplier shows signs of delays or capacity issues, companies can quickly switch to alternative sources.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Predictive analytics improves logistics planning. Transportation data can help to understand delays caused by weather conditions, traffic congestion, or port disruptions.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Predictive insights support better inventory management. By analyzing demand patterns, businesses can maintain optimal stock levels and avoid unnecessary storage costs.<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">Consequently, these improvements make supply chains more flexible and responsive.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Predictive_Supply_Chain_Technologies\"><\/span><b>Predictive Supply Chain Technologies<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Several digital technologies support <\/span>predictive analytics in supply chains<span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">With the help of Artificial Intelligence (AI) and Machine Learning, systems process large amounts of data and get the patterns that humans might miss.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Meanwhile, the Internet of Things (IoT) provides real-time data from sensors located in warehouses, trucks, and manufacturing facilities.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In addition, cloud computing allows companies to store and process large datasets efficiently. Because of these technologies, businesses are now able to monitor supply chain activities in real time and make faster decisions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As technology advances, predictive supply chains will become even more intelligent and automated.<\/span><\/p>\n<h2><b><img decoding=\"async\" class=\"alignnone wp-image-3864\" src=\"https:\/\/ladingcargo.com\/blog\/wp-content\/uploads\/2026\/03\/predictive-analytics-in-supply-chain-300x108.jpg\" alt=\"predictive analytics in supply chain \" width=\"1469\" height=\"529\" srcset=\"https:\/\/ladingcargo.com\/blog\/wp-content\/uploads\/2026\/03\/predictive-analytics-in-supply-chain-300x108.jpg 300w, https:\/\/ladingcargo.com\/blog\/wp-content\/uploads\/2026\/03\/predictive-analytics-in-supply-chain.jpg 669w\" sizes=\"(max-width: 1469px) 100vw, 1469px\" \/><\/b><\/h2>\n<h2><span class=\"ez-toc-section\" id=\"Key_Benefits_for_Businesses\"><\/span><b>Key Benefits for Businesses<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Companies that use predictive tools are experiencing many benefits, such as:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">They can reduce operational risks and provide better service.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">They can also save on inventory and transportation costs.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Moreover, predictive insights allow businesses to react quickly to changes in the market<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">For example, a retailer that predicts a sudden increase in demand can increase inventory in advance. Similarly, a manufacturer can identify supplier issues early and adjust production schedules accordingly.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Therefore, predictive analytics not only makes operations more efficient but also helps businesses maintain stability in the long term.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Growing_Adoption_of_Predictive_Analytics\"><\/span><b>Growing Adoption of Predictive Analytics<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Many organizations have already started investing in predictive analytics to strengthen their supply chains. According to several industry reports, the use of data-driven technologies in <a href=\"https:\/\/ladingcargo.com\/blog\/smart-supply-chain-management-leveraging-tech-for-real-time-visibility\/\">supply chain management<\/a> is growing rapidly. Here, in this table, you can see the growing percentage of companies using predictive analysis.<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Year<\/b><\/td>\n<td><b>Percentage of Companies Using Predictive Analytics<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">2018<\/span><\/td>\n<td><span style=\"font-weight: 400;\">17%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">2020<\/span><\/td>\n<td><span style=\"font-weight: 400;\">24%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">2022<\/span><\/td>\n<td><span style=\"font-weight: 400;\">38%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">2024<\/span><\/td>\n<td><span style=\"font-weight: 400;\">47%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">2030 (Projected)<\/span><\/td>\n<td><span style=\"font-weight: 400;\">65%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">This data shows a clear trend. Over the past decade, more companies have started using predictive analytics to manage risks and improve decision-making. By 2030, it is expected that nearly two-thirds of companies will rely on predictive technologies in their supply chain operations.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Supply_Chain_Performance_with_Predictive_Analytics\"><\/span><b>Supply Chain Performance with Predictive Analytics<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The impact of predictive analytics can also be seen in supply chain performance metrics.<\/span><\/p>\n<h2><b><img decoding=\"async\" class=\"alignnone wp-image-3862\" src=\"https:\/\/ladingcargo.com\/blog\/wp-content\/uploads\/2026\/03\/Screenshot-2026-03-09-232111-300x166.png\" alt=\"predictive analytics in supply chain \" width=\"902\" height=\"499\" srcset=\"https:\/\/ladingcargo.com\/blog\/wp-content\/uploads\/2026\/03\/Screenshot-2026-03-09-232111-300x166.png 300w, https:\/\/ladingcargo.com\/blog\/wp-content\/uploads\/2026\/03\/Screenshot-2026-03-09-232111.png 487w\" sizes=\"(max-width: 902px) 100vw, 902px\" \/><\/b><\/h2>\n<h2><span class=\"ez-toc-section\" id=\"Challenges_in_Implementing_Predictive_Analytics\"><\/span><b>Challenges in Implementing Predictive Analytics<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Despite its benefits, implementing predictive analytics is not always simple. Let\u2019s understand the challenges:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Data Quality:<\/b><span style=\"font-weight: 400;\"> Predictive models require accurate and consistent data. If the data is incomplete or outdated, predictions may not be reliable.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Technology Integration:<\/b><span style=\"font-weight: 400;\"> Many organizations still use legacy systems that are difficult to connect with modern analytics platforms.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Skilled Professionals:<\/b><span style=\"font-weight: 400;\"> Companies need professionals who understand data science and supply chain management. Insufficient expertise can make it difficult to fully benefit from predictive tools.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">However, as <a href=\"https:\/\/ladingcargo.com\/blog\/how-logistics-technology-is-transforming-the-future-of-global-transportation\/\">digital transformation<\/a> continues, many of these challenges are gradually being addressed.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Future_of_Supply_Chains_by_2030\"><\/span><b>Future of Supply Chains by 2030<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Over the coming years, more businesses will be using predictive analysis to manage their business uncertainties. Instead of assumptions, companies will depend on the real-time data, analytics, and technology to guide areas like:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">How much inventory to keep<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Which suppliers to use<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The fastest shipping routes<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Predicting problems before they happen<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">As a result, businesses will be better prepared to handle global challenges while keeping customer satisfaction.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span><b>Conclusion<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">In the end, predictive analytics offers solutions to predict future aspects and progress accordingly. It requires a skillful team and technologies to get and read the patterns and suggest to the companies the best way possible. So, by the year 2030, companies will be more certain about their supply chains in this uncertain world.\u00a0<\/span><\/p>\n<div class=\"flex flex-col text-sm pb-25\">\n<article class=\"text-token-text-primary w-full focus:outline-none [--shadow-height:45px] has-data-writing-block:pointer-events-none has-data-writing-block:-mt-(--shadow-height) has-data-writing-block:pt-(--shadow-height) [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" tabindex=\"-1\" data-turn-id=\"request-69af0068-4a64-8321-bff7-b85a664fcf34-3\" data-testid=\"conversation-turn-8\" data-scroll-anchor=\"true\" data-turn=\"assistant\">\n<div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\">\n<div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" tabindex=\"-1\">\n<div class=\"flex max-w-full flex-col gap-4 grow\">\n<div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-1\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"9cca6045-89b4-4a58-9fc6-7a79928d28c8\" data-message-model-slug=\"gpt-5-3\">\n<div class=\"flex w-full flex-col gap-1 empty:hidden\">\n<div class=\"markdown prose dark:prose-invert w-full wrap-break-word light markdown-new-styling\">\n<p data-start=\"0\" data-end=\"196\" data-is-last-node=\"\" data-is-only-node=\"\">At <a href=\"https:\/\/ladingcargo.com\/\"><strong>Lading Cargo<\/strong><\/a>, we support importers and exporters with smarter logistics solutions. Using predictive analytics in supply chain operations, we help ensure faster and more reliable <a href=\"https:\/\/ladingcargo.com\/blog\/what-is-the-difference-between-cargo-and-shipment\/\">cargo movement<\/a>.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/article>\n<\/div>\n<p><b>Copyright:<\/b><span style=\"font-weight: 400;\"> All rights reserved. Unauthorized reproduction or distribution of any content on this site is prohibited. For permissions, please contact <\/span><a href=\"https:\/\/ladingcargo.com\/\"><span style=\"font-weight: 400;\">https:\/\/ladingcargo.com\/<\/span><\/a><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>How can companies predict problems and keep their supply chains working well, even in uncertain times?\u00a0predictive analytics in supply chain.\u00a0 Supply chains play a significant role in the world\u2019s business&#8230;<\/p>\n","protected":false},"author":1,"featured_media":3863,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[130],"tags":[653,652,612],"class_list":["post-3861","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-logistics","tag-predictive-analytics","tag-predictive-analytics-in-supply-chain","tag-supply-chain"],"yoast_head":"<!-- This site is optimized with the Yoast SEO 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