La imparable transformacion of the transporte y the logistics

The inclusion of Big Data in logistics favours a more efficient management of all processes, and above all, a significant optimization translated into profitability and an increase in the number of customers. Taking advantage of all the opportunities offered by the study and analysis of Big Data, and applying it to the current and growing urgent demand, appears the concept of logistics preventiva que ha provocado una transformation of road transport..

Data analytics already allows predictive logistics to find behavioral patterns and use them as a tool for the management of the entire supply chain. With the possibility to make a forecast of all the factors involved in each process and make the work more efficient by the following points:

La transformacion del transporte

Risk detection

The possibilities for predictive management are endless. It offers good data management, applied to logistics, and based on our needs or the problems we want to solve. They are a reliable and important source of data for creating strategies or behaviours that are more cost-effective, faster or more effective. We may detect situations such as the following:

• Know in advance and specifically the dates of the year when there may be a drop or a sharp increase in logistics demand.
• Identificar the puntos de una ruta por un alto riesgo. for example, por the cantidad de retenciones that se producen.
• Reconocer the cargo that requiere un cuidado especial.
• Reaccionar de manera efficient a ciertas situaciones adversas por causas meteorologicas.
• Identificar rutas mas rapidas o mas fluidas for determinadas etapas.

Capacity planning

Preventing the logistical capacities of specific demand makes it possible to adapt all technical, material and human factors in order to deal with it only with the necessary resources while minimizing costs. In addition, they do not create gaps and prevent improvised situations.

Protocol planning

Planning of protocols. These maintenance forecasts prevent deterioration and prevent unexpected breakdowns that can lead to very expensive situations.

Advanced shipments

The process can be streamlined from the start. More dynamic and effective management models can be implemented to deliver smoother and faster services.

Analysis from the origin of data

We can have access to a wide and differentiated amount of data on each day. Geolocators, sensors, databases and comprehensive management servicesare the most important source of data to make the most appropriate decisions. With them, we can create the necessary and personalized strategies to get the most out of our resources and offer the best services to our clients.

How interpretar la transformacion of transport?

It is the key to optimizing the predictive supply chain. There is no point in implementing data collection and computerising all our services without knowing how to use them afterwards. They must be used in the right way in order to be successful. We will reduce costs by gaining a fluidity in our transport, y una mayor adaptacion a nuestros clients y the nuevos mercados.

Phone:
+34 674 346 912

Email:
info@transvolando.com

Address:
C/ Empleo, 28 Nave 10 28906 Getafe (Madrid – España)
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