The Warehouse Management Factory
With Warehouse Intelligence to the intelligent warehouse. Thanks to our Data Science team, we are constantly developing new strategies while looking at your personal use case. This is how we develop data-driven solutions based on your individual requirements.
Data Science
Our Data Science team deals with the individual questions of our customers. For us, the focus in the implementation of data science projects is on the data value chain.
The goal is to make the best possible use of the potential in the warehouse and to increase efficiency in the warehouse.
In our blog article on the topic of reducing walking times through intelligent algorithms, you can find out how we harness existing potential for our customers.
Procedure and phases
In collaboration with our customers, our Data Science team is always working on new, exciting use cases and their potential analysis. The goal of the potential analysis is to obtain the most meaningful picture possible of the expected optimizations.
The phases of our Data Science projects can be broken down as follows:
Together with the customer, the problem is analyzed and transferred into a requirements specification.
After all data sources are selected, the generation of data pools that will be used for simulations takes place.
If the data has been collected over a longer period of time, the analysis and simulation of different strategies begins.
Once the model has calculated the optimum, the strategy is rolled out for application to the customer installation.
We look forward to hearing from you.
