Digital transformation has affected many sectors, including logistics.
In what way?
First of all, digitisation has provided new data-driven approaches to optimise distribution. The errors are reduced to a minimum and processes are speeded up to meet new market requirements.
L’data analysis therefore becomes essential to obtain an analytical and global view of the company, leading to improved decision-making processes and to limiting the occurrence of risks.
This is possible thanks to technologies such as the’Internet of Things or Artificial Intelligence, which enables companies to meet the massive growth in market competition.
Accelerating this process was the pandemic. The online orders trade relations between states and companies have grown and been rethought.
Thus, it was also necessary to re-plan the distribution processes with express couriers.
More control of goods, more speed, better traceability of items to the end customer were needed. The digitisation, in this sense, has been the true ally of the progress in logistics.
It is impossible today to think of a world without online commerce and, consequently, without data that is constantly updated in real time. Competition is growing, as is the demand for products, and in order to remain competitive, companies must adopt a smarter, more modern approach, supported by the use of the Internet of Things (IoT).
What Digital Transformation Means and Its Role in Logistics
What does digital transformation mean in the world of logistics?
This term refers to the integration of the digital technologies in areas in warehouses.
Processes such as order receipt, warehousing, transport of articles are made more efficient by digitisation and errors are reduced to zero. This can represent a considerable saving of resources and money.
These technologies have responded very positively to the new market needs. Sales of articles, especially online, have increased over the years and customers are increasingly demanding.
Would you like a service of shipping parcels customised, traceable, secure, fast and, why not, also environmentally friendly.
In this scenario, it is important to rely on tools that make warehouse organisation more precise and automated.
This is the watchword of the mutation towards digital: if processes take place autonomously, you minimise errors. And that's not all. New, increasingly intelligent software allows data to be collected and translated to make decision-making processes in the company easier.
Moreover, this information can be shared throughout the distribution chain, making the distribution of articles much more satisfactory for customers.
Logistics management, thanks to technologies such as Internet of Things (IoT) objects, is certainly more controlled and efficient on a human scale. Digital tools are increasingly accurate and secure, It also guarantees the privacy of customers and their transactions.
Not only that: the environment is also positively affected. Reducing errors optimises delivery processes and thus also transport, thus reducing emissions.
The Internet of Things (IOT) and Artificial Intelligence (AI): what solutions do they offer for warehouse optimisation?
The Internet of Things offers solutions for warehouse optimisation.
How?
It ensures communication between the environment and the device, which collects data and exchanges information with other machines or operators.
In this way, it is always possible to know how many items are stored, where packages are being delivered, what the temperature in the warehouse is and control it remotely, what the company's costs are and much more.
Here are some useful devices for optimising the warehouse:
- RFID tags, or radio label readers, to know exactly which items are in stock;
- Management with artificial intelligence, which collect data along the entire distribution chain. Thus, no errors are made regarding prices of goods, inventories and much more, making order management processes more efficient;
- Pick to Light display which are used to guide the operators towards picking the correct articles and in the required quantities. The picking is counted and allows the order to be tracked, as well as understanding how many products are left in stock;
- Then there can be no shortage of robots, who support the workers by making tasks easier and faster.
In general, the task of digital technologies is to increase the performance of human workers and international shipments, to collect data, automate activities and operations previously performed by humans and, as we shall see, predict future scenarios.
The Importance of Predictivity in Logistics
As already mentioned, the digitisation is a great helper in decision-making processes. By predictivity, we mean the ability of digital technologies to detect recurring patterns to anticipate future events by analysing collected data.
This is because devices called Machine Learning can help predict demand trends thanks to data collected inside and outside the company.
Information such as the location of goods, orders placed with suppliers, and the presence of stocks help managers to improve processes and predict the trend in demand for goods.
Another logistics area that benefits from the predictivity offered by digitisation is the transport of articles. By optimising the movement of goods, it is possible to save on the cost of external employees or company fleets.
The smart objects can help to gathering information on diesel consumption, driver behaviour, journey times and much more, to make decisions on improving services.
Future Logistics with Internet of Things (IOT) and Artificial Intelligence (AI)
Digital transformation is revolutionising the logistics sector, thanks to artificial intelligence. Warehousing areas are more controlled, decision-making processes are simpler, and customer service is faster and more personalised.
In short, technology is improving the efficiency of warehouses.
More and more companies are going digital and this can only benefit them. Artificial Intelligence makes them more competitive and ready for change. This process can only improve as new technologies evolve.
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