What-if Wednesday: Forecast Simulation – Changing The Beta Parameter in a Forecasting Method

In our previous blog, we experimented with Alpha - the intercept parameter of the Holt-Winters method - to see how the forecast gets affected as the weight changes. This week we are going to run similar tests with Beta, the trend parameter. Learn how you can use your recent sales trends to improve future forecasts.

By |2019-04-13T23:09:32-04:00February 15th, 2017|Forecasting, What-if Wednesday|

What-if Wednesday: Forecast Simulation – What Happens if You Change The Alpha Parameter in a Forecasting Method?

From time to time, clients ask me about the effect of changing a parameter of a forecasting method. Recently, I got the idea of creating a series of blog posts where I would simulate the results of tweaking these parameters. Join me as we unpack a couple simple ways to improve your forecasts.

By |2019-04-13T23:09:33-04:00February 1st, 2017|Forecasting, What-if Wednesday|

[Simulation Results] How Does a Change in Demand From a One-Time Event Impact Future Forecast?

Last week I wrote about the potential benefits in forecasting results based on removing outliers from one-time events. A key question that came up because of that post was this: How long does a change in demand as a result of an event (whether up or down) impact forecasts in the future? Rather than theorize

By |2019-04-13T23:09:39-04:00December 21st, 2016|Demand Planning, Forecasting|

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