Industrial companies are optimizing their entire supply chain and logistics is increasingly becoming the focus of value creation. For warehouse management systems (WMS) to be used effectively, master data has to be entered consistently and updated regularly. If you want to increase the efficiency of your logistics processes, generate savings and minimize the frequency of errors, you have to rely on smart solutions to enter, evaluate and pass on master data.
To increase logistics process efficiency, achieve savings, and minimize errors, it is necessary to rely on intelligent solutions for capturing, analyzing, and transmitting master data.
The worst case scenario in the warehouse is that an overloaded shelf collapses. Obviously, the shelf has been filled incorrectly. But how did it happen? One possible reason is that the shelf capacity or the weight of the items were not stored in the WMS. The second possible explanation is that the company is not using a WMS at all to enter and coordinate the weight of goods and the capacity of handling units. Properly functioning warehouse planning is not possible without access to the master data, such as the weight or the size of items/warehouse objects. IT systems can only be used appropriately when the master data is available. The majority of the functions and options provided by a WMS are left unused while basic information is missing. A suitable WMS can considerably simplify and shorten the time-consuming process of data entry. For example, you can run a preliminary calculation on a sample with analysis functions for maximum efficiency when using the data.
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In our whitepaper “AI in Logistics,” we shed light on the technological foundations, highlight current trends, and use practical examples to describe how companies are already improving their processes with the help of AI.