flumiq illustrates the dynamics of logistics, makes complexity understandable, and unites diverse perspectives into a comprehensible whole.
Logistics processes are presented, analyzed, and interpreted in an illustrative manner, involving all stakeholders. This is the only way to create sustainable solutions.

connecting the dots,
connecting the people
in logistics

Christian Ordelt, founder flumiq

Logistics operations generate a large amount of data on a daily basis, but often this data is not fully utilized. However, this data presents an enormous potential for optimizing and managing logistics processes.

flumiq unites data from different systems, including Warehouse Management System (WMS), Transport Management System (TMS), Yard Management System (YMS), Time & Attendance (T&A), Telematics, and various sensors from the Internet of Things (IoT).

flumiq 3P model
The flumiq 3P model ( > learn more) combines and integrates data from these diverse sources, thereby significantly improving transparency in logistics processes.

This model also serves as a basis for specific use cases, including:


Process mining helps to understand processes, identify weaknesses, and initiate improvements. This exploratory analytical approach is crucial for improving transparency.

Data driven

Process documentation can be generated semi-automatically. Through the interaction between analytical tools and the expertise of employees, replicable knowledge is created.


Augmented documentation ensures that documentation does not collect dust. By adding real-time data, it provides a comprehensive overview of ongoing operations.

Capacity planning

Based on various prediction models, future resource needs can be estimated. Real-time data can also be used to identify bottlenecks during ongoing operations and react accordingly.

Migration tools

Switching to a new Warehouse Management System (WMS) is not a trivial project. flumiq tools support the process before, during, and after the transition. Processes, goods flows, and master data are the focus.

Unit cost analysis

What are the logistics costs of a particular product or order? Cost-per-piece accounting enables business decisions at a new level.


What did the process change bring? What are the effects? Changes can be evaluated by comparing them to the simulation of the original process.


Comparing different logistics locations can be challenging, especially when different systems are used. The generic flumiq 3P model provides new possibilities in this regard.

The list of use cases is not exhaustive. They depend on your requirements. We are happy to check whether we can also solve your analysis problem.

Does this sound interesting for you?
Can you not yet clearly see the benefits? Is your specific problem not covered in this list?

No matter what, get in contact with us!
We want you to unleash the potential of your data to bring your logistics processes to the next level.

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