Data Skeptic

Forecasting in Supply Chain

Nov 29, 2021

36:05

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Episode notes

Is the Hybrid Model Really the Right Way to Go?

02:32

How Does a Hybrid Algorithm Work for Volatile Time Series?

03:04

Collaboration in Large Enterprises

02:15

Introduction

4min

Is There a Promotion in the Data?

2min

How to Measure Volatility in Time Series?

2min

Is There a Difference Between Promotion and Demand Volatility?

3min

How to Improve Your Promotional Planning?

2min

The Feature Engineering of Modeling and Forecasting

2min

How Do You Evaluate a Model?

2min

Comet Back Up - The Platform for Everyday a I

4min

How to Model Promotions in a Marketing Department?

2min

10.

How Does a Hybrid Algorithm Work for Volatile Time Series?

3min

11.

Pandemic and Supply Chain Forecasting - What Do You Think?

2min

12.

Collaboration in Large Enterprises

2min

13.

Is the Hybrid Model Really the Right Way to Go?

3min

14.

Is There a Bridge Between Academia and Industry?

2min

15.

Forecasting Impact Podcast

3min

Mahdi Abolghasemi, Lecturer at Monash University, joins us today to talk about his work "Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion."

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Data Skeptic

Forecasting in Supply Chain

Is the Hybrid Model Really the Right Way to Go?

How Does a Hybrid Algorithm Work for Volatile Time Series?

Collaboration in Large Enterprises

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Discoverhighlights

Save anymoment

Share& Export

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