Process Mining in Logistics

Understanding & implementing

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Process Mining in Logistics – Realising Potential

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.

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Using Process Mining in Logistics

Process Mining  is at the interface between data science and process management. The process enables companies to analyse business processes on the basis of data and to visualise these processes. The central element here is process discovery. This involves extracting data from so-called event logs and creating process models that show all the variants and deviations of the real process. This gives companies an objective picture of their process reality and, in the next step – conformance checking – they can derive steps for optimising the process. This involves comparing the actual process flow with the predefined target process.

Process Mining is particularly relevant for logistics because logistical processes often extend across different systems and departments. From order acceptance to warehousing and delivery, each shipment passes through numerous stations, each with its own IT systems and data structures. Process Mining brings together the different data sources, enabling a holistic view of the supply chain.

Our solutions integrate data from ERP systems, warehouse management systems (WMS), transport management systems (TMS) and IoT devices, creating transparency across the entire logistics process. This reveals dependencies and interactions that would remain hidden if viewed in isolation.

In the field of logistics, the use of Process Mining helps to optimise stock levels, shorten delivery times and also brings about far-reaching improvements in route planning and shipment tracking. Through seamless integration into leading BI platforms, process.science enables holistic analysis, which you can use to identify bottlenecks at interfaces and derive targeted optimisation measures. The result: increased efficiency along the entire supply chain.

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That's why Process Mining is worthwhile in the field of logistics

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.

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Our Process Mining tools display for every step in realtime, where outliers currently occur, to correct them before they establish. Improve lead times, costs and quality. Reduce commercial risks through process optimization.

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Process Mining in Logistics – Use Cases at a Glance

Our Process Mining solutions offer a wide range of applications and enormous potential for process optimisation in the logistics industry. Data-based analysis allows you as a logistics company to holistically capture processes, uncover inefficiencies and derive targeted improvement measures.

Transport route optimisation

With our Process Mining for logistics, logistics service providers can make the entire supply chain more efficient. Event logs can be used to reconstruct and visualise supply chain processes. This makes it possible, for example, to identify waiting times between individual process steps or to analyse supplier performance.    The ability to identify discrepancies between system inventories and actual stock levels is particularly valuable. The insights gained can be used to derive targeted optimisation measures to increase the efficiency and reliability of the supply chain and ultimately reduce transport costs.

Increasing storage efficiency

In the area of warehouse logistics, solutions from process.science help you optimise stock levels and reduce throughput times . By analysing stock movements and inventory data, you can, for example, identify slow-moving items, reduce excess and obsolete stock  and use the available space more efficiently. Process Mining enables the seamless implementation of ‘First In – First Out’ (FIFO) in the area of logistics, which is particularly important for perishable or quickly aging goods. Even the usually time-consuming annual inventory becomes a breeze with a Process Mining solution from process.science. Picking processes in logistics can also be optimised with the help of Process Mining, for example by uncovering inefficient routes or bottlenecks in the picking process.

Customer delivery experience analysis

Our Process Mining helps logistics companies to improve their services and increase customer satisfaction. By analysing customer complaints and claims processes, you can identify and resolve systematic problems. You can also improve on-time in-full (OTIF) performance by uncovering the causes of late or incomplete deliveries. With Process Mining in logistics, you can analyse the throughput times of customer enquiries and optimise order processing.

Compliance & risk management in the supply chain

The logistics industry is characterised by a wide range of regulations and standards that you, as a service provider, must comply with. We use Process Mining to help you meet compliance requirements and minimise risks. By analysing process data, deviations from defined standard processes can be identified at an early stage, which prevents potential compliance violations. The increasing requirements in the field of environmental protection can also be addressed with the help of a sustainability strategy for logistics.
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Implementing Process Mining in Logistics – with process.science

Despite the many advantages, many companies are hesitant to procure a Process Mining solution. The reason for this is the complicated entry – the integration into existing IT landscapes is often complex and time-consuming. The result is long implementation times and high costs.

process.science offers an innovative approach that overcomes these obstacles and enables the rapid, uncomplicated introduction of Process Mining in logistics. Our Process Mining solution can be seamlessly integrated into existing Business Intelligence (BI) platforms. As a logistics company, you benefit from rapid implementation, cost efficiency and an uncomplicated entry, as well as the highest security standards. Our solutions guarantee absolute data security, both on-premise and in cloud environments.

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