Team Digital Lab

Our Responsibility
We are not stereotypical IT nerds who bury themselves in AI algorithms: In our team, the focus is on ideation, value and fail & learn. We are always in direct contact with both global logistics experts as well as operational employees and work on improving their daily processes. When using AI, the comprehensibility of the results is more important to us than the highest possible accuracy of the predictions. We deal with sales topics such as "lead scoring" and "customer churn prediction", where the local, country-specific but also global characteristics are considered. We also solve operational prediction problems, from package dimensions to freight volumes on trade lanes.

Our Team
Close cooperation and the exchange of knowledge and ideas are integral parts of our daily team life. Being creative and driving innovative solutions and projects forward for us means constant learning in a dynamic environment with new challenges. A productive and open atmosphere in our 3-person team is therefore particularly important to us. And we also belief that during the development of prototypes, the evaluation of end users is crucial. Sometimes we even cooperate with various universities and students for new impulses and a different perspective on the solutions of our logistics challenges.

Our Technologies, Tools & Methods
We use MIRO virtual whiteboards, for a collaborative digital workplace in our office as well as in the home office via MS Teams. SQL is one of our most important tools as the data is primarily structured in relational databases. To retrieve and to process semi-structured data, cloud services such as Azure Synapse are used alongside Python queries. We use RapidMiner as a low-code data science platform for fast and uncomplicated linking of data up to the first validation. For more complex and individual processes, we also use Python code, which we can integrate into the data pipelines in the RapidMiner AI Hub. For visualization in the direction of the end user, we use Power BI – both for the design of initial mock-ups as well as for more complex dashboards.