The Warehouse Management Factory

Data Science

With Warehouse Intelligence to the intelligent warehouse. Thanks to our data science team, we develop new solutions and consider your individual use case. In this way, we develop data-driven solutions based on your individual requirements.

Data Science

Making data usable

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 aim is to make the best possible use of the potential in the warehouse and to generate real added value for the company.

In our blog post on the topic of reducing journey times through intelligent algorithms, you can find out how we make use of existing potential for our customers.

To the blog post

Procedure and phases

Preparation, planning and realisation

In cooperation 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 optimisation.

The phases of our data science projects can be broken down as follows:

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Problem identification

First, the problem is analysed together with the customer and transferred into a requirements specification

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Data collection

After all data sources have been selected, data pools are generated which are used for simulations.

Analysis and training

After the data has been collected over a longer period of time, the analysis and simulation of different strategies begins.


Once the optimum has been calculated by the model, the strategy is rolled out for application to the customer installation.

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