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)
Lets continue...
