Much has been said about logistics 4.0, digitally transformed in order to prepare for the near future.
But the basis of intelligent logistics is the wealth of information and how this data is used to stand out in the market.
This can be achieved with the help of Big Data, the main technological solution for handling data in a practical way.
Therefore, we will address the importance of Big Data in logistics 4.0 and how this technology is used in practice. Check it out!
What is Big Data? How does it work in Logistics 4.0?
The truth is that managers have always had to deal with a series of data within companies to chart strategies that would bring advantages in the market.
However, Industry 4.0 technologies have made it possible to obtain information from various sources, including outside the company, through sensors, cloud sharing, etc.
And at the center of handling this information, we have Big Data, the solution that makes it possible to unite a large volume of data and analyze it quickly and conveniently.
And to ensure the veracity and value of the information obtained, software was developed that attest to the accuracy and reliability of this data.
With the analysis of Big Data, it is possible to have a Logistics 4.0, which is good for having visibility of the sector, drawing up strategic plans and improving its performance.
Big Data in Logistics 4.0 and its usefulness
Big Data in Logistics 4.0 enables comprehensive logistics planning, route optimization, monitoring of each operation, security improvements and much more.
Big Data is essential for transport management when faced with so many challenges such as rising fuel costs, road conditions, weather, legislation.
We will talk about 3 significant Big Data collaborations in logistics 4.0:
1. Last Mile Delivery
Last mile delivery is estimated to represent up to 28% of the total cost of a delivery.
Big Data makes these deliveries more efficient and less costly by matching available resources.
With this, it improves the organization of the delivery infrastructure and contributes to the tracking and control of freight vehicles in real time.
2. Route Optimization
The predictive analytics provided by Big Data avoids mishaps down the road and guides you to the best possible routes and resources.
This solution helps planning by showing available resources, routes, traffic flow data to optimize delivery routes.
3. Smart Logistics
Logistics becomes much smarter with the use of Big Data combined with other solutions, such as IoT.
The result is automated logistics operations, capable of analyzing inventories, forecasting demand and supplying goods, for example. In summary, the analysis of data provided by Big Data in logistics 4.0 meets the purposes of the sector, which is to promote much more efficient and assertive operations.