Logistics and warehouse processes are the operational backbone of modern value chains. At the same time, many companies lack transparency into how processes are actually executed. Variants, bottlenecks, and inefficiencies often remain hidden.
Process mining closes this gap. Based on real process data, workflows become end-to-end visible, analyzable, and comparable. Companies not only identify symptoms but also uncover the true root causes of delays and deviations.
This whitepaper shows how you can use process mining to create transparency, identify optimization potential, and sustainably manage and improve your logistics processes.
Overview of the whitepaper contents:
- Fundamentals of process mining and transparency of real-world processes
- The gap between target processes and actual execution
- End-to-end transparency through digital process data
- Identification of variants, bottlenecks, and inefficiencies
- O2C: End-to-end analysis and management of sales processes
- P2P: Identification of inefficiencies and maverick buying
- EWM: Transparency across warehouse processes and operational weaknesses
- TM: Analysis and optimization of transport processes
- Measurability of transformation and optimization
- From a black box to a manageable process landscape