Better decision-making and increased profits are must easier when you are given the ability to forecast accurately. MaxQ’s Demand Planning module is designed specifically to assist you in your sales and inventory planning efforts by creating accurate forecasts, using your sales history from Microsoft Dynamics SL (or any other source), in combination with its powerful statistical forecasting models.
In an effort to satisfy all mainstream business forecasting requirements, our demand planning module can automatically select forecasting models from the following five classes or include a user defined forecasting model:
For very short or extremely volatile data, Forecast Pro includes moving average models.
Provides a quick and easy way to identify the general form of the curve (i.e. straight line, quadratic, exponential and s-curve).
For stable data sets, Forecast Pro supports a multiplicative seasonal Box-Jenkins model. The model can be built for you automatically or interactively, using a full range of screen-oriented diagnostics.
Low Volume Models
Croston’s Intermittent Demand model and discrete data models are provided to accommodate low volume and “sparse” data (i.e. where the demand is often zero).
Twelve different Holt-Winters Exponential Smoothing models are provided to accomodate a wide range of data characteristics. Robust exponential smoothing models makes it ideal when there are no leading indicators or when the data is too short or volatile for Box-Jenkins. You can select the model and set the parameters yourself or let Forecast Pro do it automatically.