What tools help with supply chain analysis?
There are numerous tools to analyze supply chains – from ERP systems to specialized supply chain software to geospatial data platforms. But no tool can replace a methodical and strategic approach. Important tips:
- Tools should be interoperable: i.e. be able to integrate data from different sources.
- Pay attention to visualization options to present complex networks in an understandable way.
- Check if the tool supports risk assessments and scenario analysis.
- Tools are only as good as the source data: a preliminary analysis of data quality is essential.
How can I analyze my shipment structure efficiently?
Shipment structure analysis is an underestimated tool to optimize logistics processes. It shows which routes are actually used, where empty runs occur and how transport volumes are distributed.
Tips from practice:
- Use historical shipment data to identify patterns.
- Combine transport data with warehouse and inventory data.
- Visualize transportation flows with digital twins.
- Pay attention to seasonal fluctuations and their influence on the structure.
Which companies offer supply chain analysis support?
Many companies offer tools, few offer real analytical expertise. What you should pay attention to when choosing:
- Does the consulting firm know your specific challenges?
- Are standardized, comprehensible analysis methods used?
- Can existing IT systems be integrated?
- What about impartiality? Is the consultancy independent of software providers?
How do I integrate sustainability into my logistics processes?
Sustainability starts with transparency. Only those who know where emissions are generated can reduce them. A well-founded analysis helps to combine ecological and economic goals:
- Identify CO₂ hotspots along the supply chain.
- Consider alternative modes of transportation (e.g. rail instead of road).
- Bundle transports to avoid empty runs.
- Integrate sustainability metrics into your KPIs.
FAQ – Frequently asked questions about supply chain analysis
- What data do I need for any supply chain analysis?
In addition to master data on suppliers and products, transaction data (e.g. shipments, inventories, transport routes) is crucial. External data such as geodata or CO₂ factors can also be relevant.
- How long does a well-founded analysis take?
That depends on the data quality and the objectives. Initial results can usually be expected after a few weeks, but complete transparency requires iterative steps.
- What to do if data is missing or incomplete?
Data gaps are normal. It is important to identify and evaluate them systematically. Interviews, plausibility checks or external data sources often help.
- Can I perform the analysis with the existing ERP system?
Many ERP systems provide valuable data. However, additional tools or data models are often necessary for more in-depth analyses.
- How can I integrate the results into my processes?
Results should not only be documented, but also need to be integrated into decision-making processes, e.g. in supplier selection, route planning or sustainability strategy.
Conclusion
Supply chain analysis is not a one-time project, but a continuous process. Tools can help, but real transparency can only be achieved with experience, structure and a clear goal in mind. If you invest today, you create room for manoeuvre for tomorrow – regulatory, economic and ecological.
Our reference projects on the subjects of supply chain and shipment structure analysis, as well as supply chain optimization, speak for themselves. Learn more in a personal exchange. We are here for you.
