What is:
Now the context is clear, we can dive into the issue
What do we need to solve/achieve?
And when the why is clear, we can dive into the Data Science part:
We refer to earlier episodes on the use of Data Science in our logistical area and for forecasting:
Digital Twin of our Warehouse
Predict the unpredictable