Retail Predictive Application Server (MOSC)

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Item Planning In Season Forecasting Method

edited Nov 21, 2017 11:04PM in Retail Predictive Application Server (MOSC) 1 commentAnswered

Hi All,

I have installed Item Planning template v15 on our server.

I am trying to understand the output generated by forecast150 procedure for In season forecasting.

"forecast:IpFiDemandU <- Forecast150(FORECASTLENGTH: 52, HISTORY:IpWpSlsRegU, MASK: IpFiMethodU, PERIOD: 104, frcststart: IpWpStartD, PLAN: IpCpSlsRegU)"

This expression is part of Batch_Forecast rule group. It provides me with demand units for future period based on my Wp Sales Units and CP Sales Units.

Now I wanted to try using the other parameters (present in RDF config guide) for this procedure forecast150. The parameters such as BAYESALPHA.

Now I ran the same above rule with new parameter BAYESALPHA with value 0.1 (as by default it takes 1). I wanted to see if the output generated is any different. its NOT. Its the same output as the previous one.

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