Order Sourcing Simulation with Data Science

TechLab by Bol

A tartalmat a Anthony Moendir & Tim Beeren, Anthony Moendir, and Tim Beeren biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Anthony Moendir & Tim Beeren, Anthony Moendir, and Tim Beeren vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

3y ago 45:50

MP3•Epizód kép

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

141 epizódok

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