Our approach for your success: Establishing a sustainable process mining for continuous monitoring and control of your Supply Chain Processes

In Sprint 1 we align with stakeholders and process owners and benchmark the current situation. The objective is to determine where a data-driven analysis approach with process mining is worthwhile.

The objective of Sprint 2 is the preparation of the data as well as the visualization and analysis of the processes. For this purpose, transactional data is extracted from the IT systems (ERP, WMS, etc.), loaded, transformed, and qualified to build up a data lake. Process Mining tools are capable to visualize the processes. Each process step is shown, and the straight process path becomes visible - the so-called "happy path". Deviations are displayed: e.g. changes in quantities and the change in the transport method that led to the change in the delivery date. Furthermore, Process Mining tools support with AI-based methods for data qualification and data analysis.


In Sprint 3, solutions and measures are defined to sustainably eliminate the weaknesses and risks found in the processes (according to shorten, eliminate, parallelize). This can also identify areas in which process automation is worthwhile. Further, an implementation roadmap is developed, and the measures are implemented. Sustainability of measurements will be ensured by permanent monitoring and interaction (RPAs) using the Process Mining tool.


Visualize workflows and identify bottlenecks

Let the system help you identify root causes of problems and ways to transform business processes

Process Conformance

The comparison of the target process model with the actual process execution - also makes it possible to uncover compliance violations in the process and avoid them in the future

Optimization of processes over time

Through continuous iteration and monitoring, you can see what works and what doesn't and continuously optimize your processes

Supplement process analysis with business logic

Use KPIs to identify automation opportunities with the greatest impact. Then measure performance after you have automated

Further Information

Control Tower: A tool to generate competitive advantages in your supply chain

Whitepaper 18 February 2021, Written by Xavier Farrés and Jordi Valls, Miebach Consulting

Today, supply chains are already considered by a large majority as essential tools for achieving business objectives, as they are elements that generate competitive advantages and provide differential values for companies. And as a...

Supply Chain 4.0: Make it possible with AI and Digital Twin

Whitepaper 19 November 2020, Written by Isabel Morales, Xavier Farrés, Kamel Klibi y Alexander Klaas, Miebach Consulting

The new normal has brought about drastic changes in the supply chain: supply disruptions, different consumption patterns than usual, unexpected growth in e-commerce, pressure to respond more quickly to demand volatility, and last but not...

The Digital Twin in Intralogistics: Increase Planning Accuracy, Leverage Investments

Whitepaper 27 February 2020, Written by Kamel Klibi, Miebach Consulting

Digital Twin for dynamic adaptations and optimizations The complexity of logistics systems is a constant and ongoing challenge in supply chain management. Planning by means of simulation is an integrated approach to secure important...