This is fully supported within Promax PX and can be viewed graphically as well as numerically. The Statistical Modelling environment also allows a user to scale some of the coefficients within statistical model. These coefficients can relate to the level, trend and seasonality. Products can be either trended up or down, the total demand (level) increased / decreased or the Seasonality impact increased / decreased.

It is interpreted that this question relates to the ease of creating additional forecasting horizon beyond the current calendar. The planning horizon in Promax PX is unlimited. However, typically a client will plan promotions for the current financial year and the one beyond that. There is no technical constraint here. Promax provides tools to assist with the efficiency of planning a long horizon by combining the activity based forecasting technique with a statistical model based on the historical invoiced sales.

Different features of Promax can be deployed to support this requirement. Promax supports the ability to work at brand level as well as aggregate levels of the customer hierarchy. Manipulations to the statistical forecast at this level e.g. levels and trends is supported.

Promax PX can handle both Bottom-Up and Top-Down forecasting. Budgets and Strategy plans can be created at an aggregate level. All promotional uplift and baseline outputs are at the Account / SKU Level. Aggregations are handled by the system by summing up the Account and SKU forecast.

Disaggregation is handled by the system using the statistically generated proportionate weightings of the Accounts and SKUs. These weightings can be derived from EPOS Data, Sales (Ex-Factory) Data or User Defined values. Users can define the desired date range that the system will use to determine the weightings.