Logistics is one of the most important industries worldwide and is becoming increasingly complex due to the amount of data it handles.
However, they can be a valuable tool if given the right value. Today, thanks to technology, it is possible to obtain much more accurate and useful information than years ago. However, on many occasions it has not been known how to give value to this information in the field of logistics. Therefore, in this article we will see what ways and solutions there are to achieve this goal.
We must first understand the importance of data in any business. Data is the key to sound decision making in any logistics company. Through data, trends, patterns and anomalies can be identified that can help logistics managers make more informed and accurate decisions. But to get the most value from data, you need the help of technology.
At a McKinsey study supply chain leaders confessed that current approaches need to change and are taking steps in that direction. 90% of the respondents planned to implement new solutions in the next five years and 23% had already done so. 20% of the sample had already implemented artificial intelligence and machine learning for some form of supply chain planning activity, and a further 60% planned to do so in the future.
New technologies, the key to data
It can be seen how these tools are enabling an improvement in terms of solutions applicable to business. In this context it is advisable to identify some of them, and see how they can help data management.
Internet of Things
One of the most important technologies for logistics is the Internet of Things. IoT enables the connection of devices and sensors, resulting in the ability to collect data in real time. The consulting firm IDC estimated that by 2023 there will be around 41.6 billion IoT devices deployed in supply chains, in logistics, sensors can be used to monitor the status of shipments, temperature, humidity and location, among others. This information can be used to optimise the supply chain and improve business efficiency.
Artificial Intelligence
Another important technology is artificial intelligence. AI can analyse large amounts of data and find patterns and trends that might otherwise go unnoticed. Machine learning algorithms can identify demand trends and forecast future needs, allowing logistics managers to make more informed decisions and better plan inventory and operations.
Automation
Automation technologies are also important elements in logistics. Automation can help reduce human error, improve accuracy and speed up processes. For example, automating the sorting and packing of packages can reduce processing times and improve overall efficiency. According to the 12th Círculo Logístico Barometer conducted by SIL, which provides an in-depth analysis of the logistics sector, one of the most important aspects of the logistics of the future will be the automation of operations.
The Cloud
Another key technology for logistics is the cloud, as it enables data storage and access from anywhere. This makes it easier for different parts of the supply chain to work more collaboratively and have access to up-to-date information in real time.
Technology like this can not only substantially help with data management, but also improve facts such as resource optimisation, process and strategy improvement and a host of other issues. IoT, AI, automation and cloud are key technologies that can help logistics managers make more informed decisions and optimise the overall supply chain.
As logistics becomes increasingly complex, these technologies will become even more important to remain competitive in the marketplace.
