Order Sourcing Simulation with Data Science

TechLab by Bol

Anthony Moendir & Tim Beeren, Anthony Moendir, and Tim Beeren에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Anthony Moendir & Tim Beeren, Anthony Moendir, and Tim Beeren 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

3y ago 45:50

MP3•에피소드 홈

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

142 에피소드

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