{"id":3519,"date":"2023-09-08T11:48:02","date_gmt":"2023-09-08T11:48:02","guid":{"rendered":"https:\/\/zeus.vision\/?p=3519"},"modified":"2023-09-08T11:48:03","modified_gmt":"2023-09-08T11:48:03","slug":"digitization-of-logistics","status":"publish","type":"post","link":"https:\/\/zeus.vision\/en\/data-talk-en\/digitization-of-logistics\/","title":{"rendered":"Digitization of logistics"},"content":{"rendered":"\n<p>The <strong>logistics sector <\/strong>has evolved a great deal in recent years, and is now in the <strong>Logistics 4.0 model<\/strong>, where new technologies and digitization play a leading role. Now the supply chain, more intelligent and interconnected than ever, responds to the new demands of the market: flexibility, immediacy, globalization, technology, sustainability\u2026 And, at the heart of this revolution: <strong>data<\/strong>.<\/p>\n\n\n\n<p>We are facing a paradigm where data generation is such that we cannot ignore it when making decisions and managing our processes. If there is one thing that characterizes <strong>logistics 4.0<\/strong>, it is to increase the efficiency and performance of each stage of the supply chain. To achieve this, technology and data will be our greatest allies.<\/p>\n\n\n\n<p>Just as the term <strong>Big Data<\/strong> was a great unknown just a few decades ago, the same is true in the logistics sector with terms such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Lean Manufacturing:<\/strong> minimize losses in the manufacturing process and use only the essential resources.<\/li>\n\n\n\n<li><strong>Agile project management<\/strong>: agile project management characterized by speed and flexibility in the processes.<\/li>\n\n\n\n<li><strong>Green logistics<\/strong>: adapting the way logistics is organized to a sustainable economic model.<\/li>\n\n\n\n<li><strong>IOT (Internet of Things)<\/strong>: interconnection of everyday objects to the Internet.<\/li>\n\n\n\n<li><strong>Autonomous trucks<\/strong>: operate in self-driving mode, with their basic functions being autonomous.<\/li>\n\n\n\n<li><strong>AI<\/strong>: attempt to imitate human intelligence through a robot or software.<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<p>Any <strong>logistics<\/strong> professional should know these terms and master them in order not to be left behind. It seems obvious, doesn&#8217;t it? Well, today there are two types of companies: those that see an opportunity in the digitization of logistics and a challenge to invest in technology, and those that prefer to leave things as they are and experience the loss of competitiveness and, therefore, of customers. It&#8217;s all a matter of adapt or die. The <strong>logistics sector <\/strong>is moving at 300km\/h and turning our backs on the new paradigm is not an option.<\/p>\n\n\n\n<p>And this is where <strong>DATA<\/strong> plays a fundamental role. Because the core of any logistics company is to know how to answer questions such as: How can I optimize the use of fuel? How can I reduce my delivery times? How can I be more efficient in the management of resources? How can I deliver my product to the customer in less time, while maintaining quality?<\/p>\n\n\n\n<p>Neither intuition nor a magic wand has the answer. It is the data we generate that will give us an objective and unbiased answer. This is what it means to be a <strong>Data Driven company<\/strong>, a company that converts information into knowledge.<\/p>\n\n\n\n<p>Once we have asked ourselves the right questions, we move on to the next phase: how we want to consume the information. For that, we have to know how to answer the following questions: What time do I need that information? Where am I going to see it? Where do I get it from?<\/p>\n\n\n\n<p>This last question is the one that will lead us to the most important process of all: finding the technology that will give us a reasoned answer. Does my fleet need GPS vehicles? Do I need to track my materials from the time they leave the supplier&#8217;s warehouse until they reach the assembly line? Do I need alert systems to detect non-compliance with customer delivery deadlines? How do I build algorithms that detect consumption patterns? What software allows me to detect optimal routes? And so on and so forth.<\/p>\n\n\n\n<p>Implementing a <strong>data-driven digital transformation process <\/strong>is not easy; however, <strong>logistics<\/strong> digitization is necessary to make efficient business decisions, predict behaviors, anticipate unforeseen events, reduce costs and, ultimately, improve the customer&#8217;s shopping experience. Don&#8217;t be one of those who settle.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Logistics digitization 4.0 is characterized by expanding efficiency and performance at every stage of the supply chain.<\/p>\n","protected":false},"author":1,"featured_media":3195,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[63],"tags":[48,52,68,67,20],"theme":[56],"class_list":["post-3519","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-talk-en","tag-dashboards-3","tag-data-visualization","tag-digitization","tag-logistics","tag-smart-visual-data","theme-logistica"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Digitization of logistics | Smart Visual Data<\/title>\n<meta name=\"description\" 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