Demantra Basics

Demantra

Demantra is the Demand Planning Tool from Oracle.

Oracle Demantra uses Historical sales to sense and shape the demand in order to comeup with Forecast (Prediction of Demand).

Demantra Demand Management consists of

      DM - Demand Management
      AFDM - Advanced forecasting and Demand Management
 
There are 15 statistical forecasting models in Demantra. DM uses nine models and AFDM comes with additional 6 models.

Forecasting Models in Demantra

Following Forecasting models are used in Demantra

Regression

•         Regression

•         Log (log transformation before regression)

•          CMReg (Markov chain selection of subset of causal factors)

•          Elog (uses Markov chain after log transformation)

Exponential smoothing

•          Holt

•          Bwint

Intermittent Models

•          CMReg for Intermittent

•          Regression for Intermittent

•          Croston

Time Series Models

•          ARX and ARIX

•          Logistic and AR Logistic

Other Models

•          BWint (a mixture of regression and exponential smoothing)

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