Process Mining in Logistics

Logistics service providers are increasingly confronted with high expectations, complicated supply chains and rising costs. Customers demand short delivery times, flexibility and complete transparency – throughout the entire delivery process. At the same time, e-commerce and globalisation are leading to ever more complex and extensive logistics chains . In addition, rising fuel prices, personnel costs and growing demands in the area of sustainability are driving costs  up. Other cost drivers such as storage fees, transport costs and disposal costs also play a role – these arise as a result of inefficient inventory management and lead to excess or obsolete inventory.
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The many interfaces make process optimisation indispensable for logistics companies – and this is precisely where the solutions from process.science come in. Our Process Mining solutions for logistics enable you to analyse processes objectively and identify potential for improvement. Process Mining makes real processes in companies visible and reveals inefficiencies, bottlenecks and deviations from the target process. As a company in the logistics industry, your success depends largely on the efficiency and flexibility of your processes . Process Mining from process.science supports you in implementing smooth processes and therefore offers enormous potential.

One of the main strengths of our Process Mining solutions for logistics is the creation of transparency. Power BI and Qlik Sense allow you to take a holistic view of your supply chains. The consolidation of various data from IT systems such as ERP, WMS or TMS enables end-to-end monitoring of logistical processes, whereby dependencies and interactions between individual process steps become visible. This comprehensive transparency forms the basis for effective supply chain analysis and optimisation.

The identification of inefficiencies and bottlenecks is particularly effective. Our tools reveal weaknesses in logistical processes that are often not visible to the naked eye. This is particularly important when dealing with complex systems such as automated high-bay warehouses, where precise analysis is crucial to efficiently utilise storage space and minimise empty space. With the help of the data you collect from event logs, you can identify delays in the flow of goods, inefficient use of storage space or suboptimal transport routes.
At the same time, process.science enables continuous improvement of logistical processes thanks to real-time monitoring. This means that you can identify and correct deviations from the target process at an early stage. A compliance check allows you to easily compare process variants so that best practices can be identified. Even niche processes such as customs clearance may require optimisation.

Another advantage of our solutions is that they reveal potential for automation. Detailed process analyses  can identify processes that are suitable for automation. This not only speeds up the relevant processes, but also relieves the burden on your employees, who can then focus on value-adding tasks.