supply_chain

Open source
supply chain planning
software

Statistical forecasting
and demand management

Access the live demo

A reliable sales forecast is a cornerstone for all planning processes. Demand forecasting allows your planners and sales team to work together in establishing a sales forecast for the future.

FrePPLe uses advanced time series algorithms to extrapolate the demand history, and gives users across the company the capability to review and adjust the sales forecast.

demand_forecasting

Statistical forecasting

System proposed forecast

FrePPle’s algorithms examine the demand history and extrapolate it as predicted future sales.

Advanced time series forecasting algorithms recognize the demand pattern (intermittent, constant, trend, seasonal, …) and automatically apply the correct forecasting method.

forecast

forecast_edit

Forecast review and editing

Capture demand information from the sale team

Your planners and sales team know more than any forecast algorithm can predict.

Users review and adjust the forecast proposed by the system.

  • The demand history in past periods needs adjustments to filter out exceptional demand outliers which won’t repeat in the future.
  • The sales forecast in future periods needs adjustments to reflect information that isn’t visible from the historical demand pattern: economy growth, market trends, impact of competitors, etc…

Multi-dimensional analysis

Item, location, customer and time dimensions

Demand management is a multidimensional problem with different levels of aggregation.

  • An account manager can edit and review the sales forecast for his accounts.
  • A regional sales manager can edit and review the sales forecast for his region and all products by quarter.
  • A product manager can edit and review the sales forecast for his products across all locations.
  • A production planner might want to review the sales forecast for the next month in weekly buckets.
hierarchies