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
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