Terms such as Big Data and Data Driven culture are more and more present in organizations and can be applied in several fields, in particular in the transport activity. This concept is nothing more than the collection and analysis of logistics data in order to improve processes and reduce risk.
It is an idea that is deeply associated with Logistics 4.0 and the digital transformation that goes with it. Companies are therefore increasingly aware of the importance of this optimization.
If you want to learn more about the topic, keep reading this article. To verify!
Logistics data: what are they and what applications?
In simple terms, logistics data consists of a management that has tools to process the information and traces generated by the transport operation. Then the collected data is used to create information about;
- the operation of the business;
- customer behavior;
- market trends;
- areas and routines that need improvement.
As a result, strategic planning and decision making are now based on reliable information with an overview of how the business operates.
How important is logistics data?
In the current scenario, the way companies run their operations is still influenced by the experience of managers and the personal perceptions of the team. However, this practice has its limitations and is prone to errors which can be damaging.
Therefore, our recommendation is to use technology in favor of the business to achieve several improvements. We have listed a few examples in the sections below to let you know the practical benefits.
Improves the quality of the operation
This model favors both supply and exit logistics. In this scenario, the manager ensures that the materials and parts required for production are available on a timely basis, while still allowing for on-time customer service.
Optimizes demand predictability
This type of intelligent system is ideal for identifying and tracking consumer and supplier behavior patterns. With this it is possible to find out, in advance, whether there will be an increase or decrease in demand. This feature ensures that the manager is not taken by surprise and can update their procurement plan based on the information gathered.
Improves distribution productivity
Bringing more agility to the operation is a management principle based on logistics data. Take the example of suppliers who manage customer inventory. This practice is called Vendor Managed Inventory (VMI) and is only possible through integration between companies and information sharing. Only in this way is it possible to ensure the progression of the supply chain.
Help reduce costs
As explained, the use of this resource is essential to eliminate errors in the logistics routine. This is due to the optimization of decision making, which in turn avoids problems that can turn into financial losses.
Finally, it is important to stress that logistics data management is part of a strategy that seeks to add value and reliability to the process. This investment makes sense in the present to prepare the company for its future growth.
For all these reasons, your management needs accurate information. This is a characteristic that is present in the systems developed by our company. If you want to become our partner, please visit our website to find out more.