Logistics
Cost pressure meets shortage of skilled workers
Our warehouses are not yet full of robots and human support is still needed in many corners — but predictive maintenance and artificial intelligence have long since found their way into the logistics sector.
This is necessary because the industry is facing a number of challenges, such as complex supply chains, fluctuating market conditions and the desire of customers and retailers to operate more sustainably. Globalization and ever cheaper production and raw materials are increasing pressure.
Efficiency and controlled costs are therefore what companies in the logistics sector need.
Data as a solution to logistics challenges
In the future of logistics, there are two things that should not be neglected:
-Increased efficiency and cost savings
-Satisfying customers through reliability and traceable supply chains
Automation is the basic step for artificial intelligence and increasing efficiency. Intelligent inventory management, forecasts and the Internet of Things are the next steps, as is optimising route planning in terms of personnel, traffic and weather conditions.
This not only contributes to reducing costs, but also to the satisfaction of customers and stakeholders — because they want sustainable and low-CO2 routes, real-time data and real-time tracking.
The basis for all these things is a reliable and structured database, which provides the basis for long-term competitiveness and the use of artificial intelligence.
Become more efficient — reduce costs
There are a few reasons to complain in logistics: Transport costs are becoming ever higher, whether for cars, ships or flight space, and finding personnel is not easy. The shortage of skilled workers poses major problems for the logistics sector.
At the same time, e-commerce consumption has increased and there is more to do than ever before. Resilience and optionality are required, because it is immensely important for companies to be able to adapt to crises and unexpected events within a very short period of time.
The solution?
Artificial intelligence and the clean use of data. The better routes and deliveries can be planned, freight capacities can be used and inefficiencies eliminated, the fewer personnel are required — and costs are saved on the route itself!
Customer centricity and artificial intelligence
Customers want to know where their goods are. And preferably from the moment it leaves the production facility. There is now this trend not only in B2C, but also in B2B. Sensors, the Internet of Things and GPS can support this, but customers can only be fully satisfied through properly set up real-time tracking.
This improves the customer experience and also brings security to transport processes.
But there are even more benefits that customer centricity offers in terms of efficiency: sustainability!
Our customers want their goods to reach them in a way that is as CO2-neutral as possible. Environmental friendliness is a top priority.
However, this benefits logistics, as route optimization and sensible use of capacity protect the environment.
Artificial intelligence can help with all these steps and optimize processes, as well as make forecasts that affect traffic and events.
The future of logistics — when using data — can therefore look bright.
Hardly any other industry has so many opportunities to use data and artificial intelligence wisely and thus not only to become more efficient, but also to make customers happy.
The basis for AI? Structured data.
Because, of course, every company can use existing tools on the market. However, in order to connect your own data and thus obtain more individualized and better results, “the basis must be right.”
We at The Data Institute are happy to provide support here with a targeted data strategy.
A database that makes everything possible
Logistics case studies
Here is an insight into our case studies: