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Sales forecasts may be used to drive time-phased demand in distribution requirements planning (DRP) across a network of centralised and decentralised trading entities. The forecasts may also be used to drive demand directly on a production location or the aggregate of DRP planning may be used. Sales forecasts are generated from historical information, which can be smoothed, flexed and weighted. Trends and seasonal demand patterns are identified and used where applicable and manual forecasts can be made. Accuracy of forecasts is monitored and DRP enables correct inventories to be maintained in the right places at the right times, thus improving customer service levels.

Forecasts

• any number of forecasts covering the same or overlapping time frames
• system generated and / or manual adjustments
• forecasts consolidated at user-defined levels
• history evaluated and forecasts created according to business cycles
• use actual sales or order demand statistics
• weekly or trading month forecasts
• forecasts in common units of measure
• maintains performance statistics

Groups

• group products according to marketing requirements
• use groups to quickly review summarised and drill down product information
• maintain forecasts at a marketing line level with automatic spread across individual products
• use groups to review performance of new and seasonal product lines

Classification

• automatic and manual classification to globally set forecasting parameters
• classify according to demands, calls, unit costs and gross profit
• use ABC classifications

Exceptions

• user-defined exception reporting based on single order and total time frame trapping percentages
• trend analysis
• identify unreliable forecasts

Parameters

• determine number of months history
• identify exceptional demands
• smooth demand patterns
• demand weighting
• generate system forecast or not
• identify irregular, seasonal and trend patterns
• set deviation factors