Advantages of Big Data in The Transport Sector

Linking digitization to the world of transport has long since ceased to be a novelty. The business models related to this sector are already immersed in an environment in which efficient data management is vital for them. However, the big problem in the transport sector today is still the lack of time. Big Data provides solutions to a growing number of companies that demand solutions that make their management more effective. It achieves this by automatically collecting massive data in very short periods of time. Let us talk about the advantages of big data in the transport sector.

The progressive implementation of Big Data in transport and logistics already makes it possible to measure its strong impact. The advantages of big data analysis represent a competitive difference in several key aspects, which can be summarized in two: the reduction of general operating costs and the achievement of efficiency hitherto unknown.

Although experts warn that the Big Data we know is only a small part of the giant that is to come, today there are already pilot projects that show how applying it can greatly reduce fuel consumption in a vehicle. A truck equipped with sensors located at its most critical points can reveal if the driving speed is the most appropriate, if sudden acceleration and braking occur, or if it is more advisable to stop to refuel at one service station or another. It is also possible to gauge the capabilities of the driver, or when the time has come to replace the current vehicles with more efficient ones.

Choosing the best route to deliver merchandise will continue to be one of the great challenges faced by those responsible for managing vehicle fleets. Not only to arrive on time for the different deliveries but also to consume less fuel and minimize the cost of corrective maintenance. Big Data plays a key role in this because it is capable of considering in real-time what the best route is, assessing in instant factors such as delivery sequences, traffic conditions, restrictions, or the form of access to the final recipient.

Weather conditions and road conditions affect the reliability of a transport service. When they are adverse, delivery times are compromised, but even more important is that both carriers and vehicles are at greater risk of incidents that force them to remain immobilized. Big Data applications in safety, such as data collection and recognition of signals from sensors and cameras, guarantee driving with fewer accidents, fewer breakdowns, and, therefore, lower associated costs.

Whether it is the transport of goods between companies or delivery services to a particular consumer, what is at stake for a company in this sector is always customer satisfaction. With Big Data, companies become reliable suppliers and partners, because their delivery system will always be predictable and secure. The key to this is making intelligent forecasts in a context where demands are more demanding than ever, with very wide delivery windows and 24/7 orders. Receivers of loads will be able to know precisely at what point in the process the load is, its location, and the estimated arrival time.

Big Data may be the definitive answer to one of the big questions that hover over the transport sector: How to reduce costs in managing a fleet of vehicles? Managing the operations of a transport company implies the generation of a significant amount of data every day. The question is… how to distinguish, among all, those that are key for our vehicle fleet management indicators? Big Data is the answer. Big data analytics help the transport sector to accurately predict the volumes of goods to work with, but also all the costs involved in taking on that work: fuel, maintenance, insurance, tolls, etc. This knowledge is very useful in planning operational procedures most efficiently and cost-effectively.

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