Data Science & Machine Learning for Demand Forecasting

In this webinar, I discuss the steps required to build your dream forecasting engine.
- Why do we forecast demand
- Select the right forecasting metric
- Censoring shortages to capture unconstrained demand (and stop to forecast sales!)
- How ML works and why it is so much better than statistical models.
This webinar is based on my latest book, Demand Forecasting Best Practices.
You can download/order it here: www.manning.com/books/demand-...

[@muhammadhammadmasood8728]

Awesome session! I'm curious, how would we forecast zeroes? lets say we have inventory for such items but they do no sell at particular time period may be.

[@davidtiefenthaler7753]

Would be interesting to get you opinion on MAPE to compare multiple forecasts (or to use as performance metric for to evaluate multiple time series), since RMSE, MAE are not suitable to do so.

[@Terracotta-warriors_Sea]

please make a video on forecasting of slow moving intermittent and lumpy demand patterns such as those encountered in MRO parts demands. How to use Croston method to forecast mean demand and its variance/std dev and then how datascience forecasting can help in such cases.

[@neelamyadav533]

Please make video on forecasting intermittent time series data. I tried croston, tsb etc but results are pretty bad.I have only 8 months data . Will you please suggest some methods.

[@DarkTobias7]

Do you have the github python code available for these?