How Big Data in Logistics Can Transform The Supply Chain

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 #5 Examples of How Big Data in Logistics Can Transform The Supply Chain

The application of big data is revolutionizing many business areas, and logistics analysis is no exception. Due to the dynamic and complex nature of logistics, coupled with the dependence of movable parts, the lack of anyone part will cause difficulties in the advancement of the supply chain. Therefore, big data is indispensable for logistics applications. Big data in logistics gives a large selection of possible data sources, including traditional enterprise data from operational systems, traffic & weather data from sensors, monitors and forecast systems, vehicle diagnostics, driving patterns, and location information, financial business forecasts, advertising response data, website browsing pattern data, and social media data. From the above information, we can know that we can provide information for the data system in many ways. With the help of big data, the efficiency of the last mile of the supply chain can be greatly improved, and the total cost of package delivery can be reduced. If the traditional method is used, for large delivery vehicles, if the delivery location is in the urban area, parking will be a problem. In the past, the solution was that the driver stopped the truck far away and then transported it to the vertical delivery address manually, which would consume a lot of labor and time costs. Furthermore, when encountering items that need to be signed for, customers cannot be shipped if they are not at home. Under all kinds of difficulties, it is difficult to know exactly what happened in the most delivery stage. Through the ubiquity of fast mobile internet and GPS enabled smartphones, as well as the spread of the Internet of Things through sensors and scanners, shippers are able to see how the delivery process goes from start to finish – even during the last mile. Also, reliability will be more transparent, routes will be optimized, sensitive goods are shipped with higher quality, automation of warehouses and the supply chain will all be improved.

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