Retail Predictive Application Server (MOSC)

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CPEM 14.0.1: XPromo_Preproc rule group

edited Jun 27, 2014 4:22AM in Retail Predictive Application Server (MOSC) 2 commentsAnswered

Hi,

Inside RDF Common RuleSet, the Xpromo_preproc rule group has rules specifically for CPEM. Looking for your suggestions on the following:

1. Preprocessing for CPEM: Noticed that, Standard Median is used to arrive at Slsbaseline. However, the preprocessing methodology we are following for forecast generation is different. Is there a reason why Standard Median was used. Is it recommended to change it based on the preprocessing methods followed for forecast generation or is it a design decision.

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LSOVER:slsbaseline, LS:slccausadj <- preprocess(SRC:pos, METHODID:1, lstoday:lstoday, NPTS:1043, WINDOW:5)

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2.  Normalized Price - normprccann and normprchalo: The promo variables we are using for Causal is discount % and not price (which needs to be continuous in time series).

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