{"id":20370,"date":"2019-07-05T11:48:34","date_gmt":"2019-07-05T10:48:34","guid":{"rendered":"https:\/\/decidesoluciones.es\/?p=20370"},"modified":"2020-03-27T13:42:55","modified_gmt":"2020-03-27T13:42:55","slug":"data-in-transport-logistics-sector","status":"publish","type":"post","link":"https:\/\/decidesoluciones.es\/en\/data-in-transport-logistics-sector\/","title":{"rendered":"The potential of data in the transport and logistics sector"},"content":{"rendered":"\n

In recent years, companies have focused their efforts on having platforms that help them capture and store large volumes of data. But it is now that efforts are focusing on adding value to these data by applying Advanced Analytics<\/strong>. Transport and logistics sector is not an exception. It is now that real value is being extracted from data in the transport sector, completely changing business operations<\/strong> in all business areas.<\/p>\n\n\n\n

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The use of data in the transport sector<\/strong><\/h2>\n\n\n\n

Passenger and freight transport companies rely\non fleet management, logistics operations and route planning systems, generating\na large volume of data about their vehicles, drivers, and their logistics\nactivity.<\/p>\n\n\n\n

Through the different analytical techniques<\/a> (which we will explain in the next point) we can acquire a greater knowledge of what happens in our business based on data, and base our decisions on them.<\/strong><\/p>\n\n\n\n

If we want to improve the efficiency of our business processes, we must invest in solutions based on Advanced Analytics. In order to improve customer service and increase the efficiency of the logistics chain<\/strong>, allowing a rapid response to the changing needs of logistics operations and improving the productivity of available resources.<\/p>\n\n\n\n

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Applying Advanced Data Analytics<\/strong><\/h2>\n\n\n\n

In order to achieve the above objectives it is necessary to use Machine Learning and <\/strong>Predictive Analytics<\/strong><\/a> solutions<\/strong>. These solutions make it possible to predict what may happen in the future, such as anticipating the activity demand or dimensioning future needs. <\/p>\n\n\n\n

This information is of great value for tactical and strategic planning of logistics operations. In addition, you can apply Prescriptive Analytics<\/strong><\/a>,<\/strong> a discipline that includes operational investigation techniques that help to choose the best option among all the possible ones.<\/strong> It is based on the value provided by the prediction of future scenarios and using historical data. It identifies the best action to carry out in order to achieve profitability and service level objectives, minimizing costs.<\/p>\n\n\n\n

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As an expert company in Prescriptive Analytics solutions,<\/strong> our mission is to make it easier for companies in the transport and logistics sector to support their decisions in Artificial Intelligence solutions<\/strong>. Improving their efficiency and providing support to decision making.<\/p>\n\n\n\n

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Among our business solutions for the transport\nand logistics sector, you can find:<\/p>\n\n\n\n