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SOFTWARE EVALUATION CRITERIA
Monday, November 23, 2009
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> Software Evaluation Criteria >
Supply Chain Management SCM
> Demand Management >
Forecasting Page: 1
Page:
1
Changes a forecast hierarchy to accommodate market changes or product family changes
(31
product(s) support this feature
)
Creates customer or channel-level forecasting
(31
product(s) support this feature
)
Creates forecast flex plans by supplier product and channel
(30
product(s) support this feature
)
Crostons Intermittent low volume models
(23
product(s) support this feature
)
Curve fitting such as quadratic exponential and growth
(29
product(s) support this feature
)
Evaluates best-fit to choose the most appropriate pattern or algorithm
(28
product(s) support this feature
)
Evaluates forecast performance review shortages overages lost sales and forecast versus actual performance
(25
product(s) support this feature
)
Evaluates forecast versus actual by customers suppliers and service level agreements
(28
product(s) support this feature
)
Exponential smoothing using Holt-Winters formulas
(26
product(s) support this feature
)
Financial and pricing performance
(26
product(s) support this feature
)
Fourier series models
(20
product(s) support this feature
)
Future causal factors
(26
product(s) support this feature
)
Generates forecasts based on channels customers and store levels
(31
product(s) support this feature
)
Generates forecasts based on multiple dimensions including product families and options through item level
(31
product(s) support this feature
)
Generates history such as forecast versus actual at the product through to the item levels
(30
product(s) support this feature
)
Imports and exports functions to spreadsheets
(33
product(s) support this feature
)
Incorporates promotions dynamic safety stocks end-of-life and effectivity dates of products
(31
product(s) support this feature
)
Inputs multiple demand streams including strategic financial marketing sales actual orders promotions safety stock requirements forecasting profiles and adjustments
(31
product(s) support this feature
)
Lewandowski model
(19
product(s) support this feature
)
Manages product changes and date ranges
(30
product(s) support this feature
)
Moving average
(31
product(s) support this feature
)
Predictive alerting when demand tolerances are violated higher or lower allowing real time adjustments to be made
(25
product(s) support this feature
)
Revenue planning and integration
(29
product(s) support this feature
)
Risk and real options analysis
(4
product(s) support this feature
)
Seasonality Box-Jenkins Analysis of stable seasonal forecast data
(25
product(s) support this feature
)
Seasonality patterns
(31
product(s) support this feature
)
Shares forecasts based on various integration strategies such as EDI and XML
(31
product(s) support this feature
)
Straight-line
(31
product(s) support this feature
)
Trend analysis patterned recognition and anomalies
(29
product(s) support this feature
)
Weighs forecasts based on confidence factors history and customer priority
(28
product(s) support this feature
)
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