How can process mining can help with reverse logistics?
With its capacity to model, analyze, and optimize processes across multiple business functions, process mining can enable and accelerate reverse logistics optimization.
Process mining turns operational data from business systems into a hyper-accurate, 360-degree visualization of processes, how they impact each other and how that translates into overall business performance. Celonis has taken this a step further with its development of object-centric process mining (OCPM) which funnels multiple layers of cross-business process mining insight into a single three dimensional, end-to-end process perspective.
This is ideal for addressing a cross-functional business challenge such as reverse logistics as it enables organizations to:
- Analyze customer returns data to identify any causal trends and potential opportunities to overcome them.
- Identify opportunities to extract greater value when dealing with returned goods across systems, business functions, infrastructure, or personnel — more efficient transport routing or warehouse throughput for example.
- Highlight any execution gaps or deviations from the ideal process models.
- Use process simulation to model out the impact of any reverse logistics process enhancements before any action is taken.
- Monitor the impact of any change measures and team adherence to new process models.
Celonis has enjoyed considerable success tackling the supply chain management challenges at the heart of reverse logistics, for retail and beyond, for some time. The Celonis platform has been used to drive real-time data, process intelligence, and targeted action to provide retailers (and others) with optimized cross-docking, inventory management, and order management processes. Take, for example, DHL's EUR 14.2 billion supply chain division, which has leveraged the Celonis technology to improve throughput at its warehouses. Workload distribution was optimized for picking, packing, palletizing, and loading processes.
With a high definition view, real-time actionable insights and process modeled solutions, process mining can provide the ability to drive continuous improvement into efficient reverse logistics solutions.