{"id":6703,"date":"2020-04-29T14:11:00","date_gmt":"2020-04-29T14:11:00","guid":{"rendered":"https:\/\/warehousing1.com\/blog\/?p=6703"},"modified":"2022-07-12T19:56:53","modified_gmt":"2022-07-12T14:26:53","slug":"5-technologien-die-die-logistikbranche-in-zukunft-beeinflussen-koennten","status":"publish","type":"post","link":"https:\/\/warehousing1.com\/blog\/en\/5-technologien-die-die-logistikbranche-in-zukunft-beeinflussen-koennten\/","title":{"rendered":"5 Technologies that could influence the Logistics Industry in the Future"},"content":{"rendered":"
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From unmanned mobile robots in warehouses to drones for online shipping, supply chains are undergoing a major transformation - changing the nature of the logistics industry.<\/span><\/p>\n

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Warehousing1 presents five new technologies that could significantly change the logistics industry in the future.\u00a0<\/span><\/p>\n\t<\/div>\r\n<\/div>\r\n\r\n\r\n\r\n\n\t\t\t<\/div> \n\t\t<\/div>\n\t<\/div> \n<\/div><\/div>\n\t\t

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1 Artificial Intelligence<\/b><\/span><\/h4>\n

The use of artificial intelligence in the logistics industry is very diverse. Development is currently focusing particularly on logistics service providers of the \"last mile\", i.e. delivery services on the last step to the customer. AI would enable vehicles, for example, to learn by themselves, as they could structure their environment, react to road traffic and calculate efficient routes. AI is also used in self-controlling logistics systems. At Warehousing1 we already rely on the use of artificial intelligence to identify optimal logistics partners and locations for our customers and thus realize savings potential.\u00a0<\/span><\/p>\n\t<\/div>\r\n<\/div>\r\n\r\n\r\n\r\n\n\t\t\t<\/div> \n\t\t<\/div>\n\t<\/div> \n<\/div><\/div>\n\t\t

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2 Digital Networking<\/strong><\/span><\/h4>\n

The networking of man, computer and machine offers infinite potential - and we are currently only at the beginning. The constantly generated amount of data is being networked better and better in all areas, including logistics, and advantages are becoming more and more tangible. In principle, digital networking allows logistics data to be exchanged across borders, among other things to promote transparency in the supply chain. In addition, innovations such as cloud computing or autonomous systems are applied in logistics networks, for example in the form of anticipatory risk management.\u00a0<\/span><\/p>\n\t<\/div>\r\n<\/div>\r\n\r\n\r\n\r\n\n\t\t\t<\/div> \n\t\t<\/div>\n\t<\/div> \n<\/div><\/div>\n\t\t

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3 Big Data\u00a0<\/strong><\/span><\/h4>\n

Big Data has revolutionised many business areas, including the logistics industry. Supply chains in particular are easily unbalanced, which can cause bottlenecks or delays. This is where Big Data comes into play in logistics, for example to optimise transport routes. Possible data sources that can be very useful for the logistics industry include<\/span><\/p>\n