Data Science for Demand Forecasting and Supply Chain Optimization

Speaker

Nicolas Vandeput

Details

Every enterprise regularly makes important financial decisions about how to allocate resources and plan its inventory. It could be servers running in the cloud, inventory in a warehouse, or potential attendance at an upcoming event. All of these choices are crucial for survival, and many of them greatly benefit from a quantitative approach.

This talk is about how to apply the foundations of quantitative modeling to its most relevant real world use case: inventory and supply chain management.

Discussed topics will include the foundational techniques that are often used, common assumptions that fail in the real world, and the latest advances in the field of supply chain management and optimization. Talk will be given with numerous real world examples with a strong emphasis on best practices.

Event type:
Speaker Series
Preparation:
None
May 17, 2023
12:00 pm
-
1:00 pm
May 17, 2023
Online
Zoom

While this event is FREE, tickets are required & space is limited!

Attend this event

About the speaker

Nicolas Vandeput

Data Scientist

Nicolas Vandeput is a supply chain data scientist specializing in demand forecasting and inventory optimization. He founded his consultancy com- pany, SupChains, in 2016; and an online platform for supply chain forecasting, SKU Science, in 2018. He always enjoys discussing new models and how to apply them to business reality. Passionate about education, Nicolas is both an avid learner and enjoys teaching at universities. Since 2020, he has been teaching demand forecasting and inventory optimization to master students in CentraleSupelec, Paris, France. He published Data Science for Supply Chain Forecasting in 2018, Inventory Optimization: Models and Simulations in 2020, and Demand Forcasting Best Practices in 2023.

Upcoming Events

How to conduct experiments with text at scale
Online
August 23, 2023

Experimental Design with Text Message Data

How to conduct experiments with text at scale

Speaker

Laura Zheng

Learn More
How to Combine Counterfactuals with Pattern Recognition
In Person
August 10, 2023

Causal Inference and Machine Learning: The Current Frontier

How to Combine Counterfactuals with Pattern Recognition

Speaker

Gerard Torrats-Espinosa

Learn More
Join other DSML Group Attendees for a Private Dinner
In Person
August 2, 2023

DSML Group. Private Dinner

Join other DSML Group Attendees for a Private Dinner

Speaker

Jonathan Bechtel

Learn More
Fast and Easy Chatbots
In Person
July 26, 2023

Research Reading: Prototyping Conversational LLM's With Alpaca

Fast and Easy Chatbots

Speaker

Jonathan Bechtel

Learn More
Join us at Rokt on-site to learn how a leader in e-commerce technology uses ML to solve problems.
In Person
July 12, 2023

Using Machine Learning in E-Commerce w/ Rokt

Join us at Rokt on-site to learn how a leader in e-commerce technology uses ML to solve problems.

Speaker

Yan Xu

Learn More
What is the underlying graph structure of the crypto financial market?
In Person
June 28, 2023

Using Machine Learning to Study the Structure of CryptoMarkets

What is the underlying graph structure of the crypto financial market?

Speaker

Jonathan Bechtel

Learn More