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Poor logistics management means that machines are unnecessarily waiting for work, parts to be machined have not been delivered on time, a team of temporary workers has nothing to do in the distribution center or sellers have predicted customer demand too high, so that the warehouse is full of unsold products. Other examples are trucks that are only half full and products that are manufactured while there is still more than enough stock. That stock only leads to additional expenses for financing the storage in warehouses. Based on data and with the help of the latest algorithms, we can correctly control your warehouse and production planning such that you do not incur unnecessary costs and your processes are optimized.