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Here are four reasons:

1. You optimize warehouse. This creates more space, which in turn leads to more efficient storage of freight, a higher ROI, and fewer errors.
2. Warehouse management is improved: High-quality logistics master data provides logistics specialists with more accurate information and data for picking and packing. It also supports the automation of space management and the availability of all SKUs and packaging types.
3. You offer better shipping planning: What fits in a box? How many boxes fit on a pallet? How many pallets fit in a truck? High-quality logistics master data provides reliable answers to these questions. Incorrect or incomplete data can lead to delays and inefficient processes.
4. Commissioning control: Logistics specialists have a better overview of shipping costs and subsequent commissioning is less frequent. High master data quality can help reduce costs by eliminating redundant or unnecessary processes and increasing efficiency. In addition, cost savings are achieved through efficient packaging. The sustainability aspect also plays an important role here.

Maintaining the quality of logistics master data is an ongoing task that requires careful monitoring.