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Order Sourcing Simulation with Data Science
Order Sourcing Simulation is needed to enable capacity steering over our warehouses, network of sellers and logistical partners. Data Science is used to predict customer behavior and simulate capacity impact.
What this episode covers
What is:
- Order Sourcing
- Capacity Steering (multiple warehouses, locations, etc)
- What is needed to do this well?
- Intake
- Etc.
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:
- When did Data Science popped up?
- How do you use this for this issue?
- What challenges do you need to deal with?
- Business
- Tech
Guests
- Bart Terpstra – Data Scientist Logistics
- Timo van Hooijdonk Business Analist en Product Owner
Notes
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
View all episodes
By Anthony Moendir & Tim BeerenOrder Sourcing Simulation is needed to enable capacity steering over our warehouses, network of sellers and logistical partners. Data Science is used to predict customer behavior and simulate capacity impact.
What this episode covers
What is:
- Order Sourcing
- Capacity Steering (multiple warehouses, locations, etc)
- What is needed to do this well?
- Intake
- Etc.
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:
- When did Data Science popped up?
- How do you use this for this issue?
- What challenges do you need to deal with?
- Business
- Tech
Guests
- Bart Terpstra – Data Scientist Logistics
- Timo van Hooijdonk Business Analist en Product Owner
Notes
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
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