Inventory Forecasting g

 

Objective

 

To provide the data and tools to produce sales forecasts as well as the means to measure the quality of the forecast.

 

The Value of Inventory Forecasting

• Forecast at item/warehouse level
• Variety of forecast algorithms including a competition method
• Set default algorithms at company or stock code levels
• Ability to handle seasonality
• Manually or automatically remove outliers and anomalies
• Facility to edit history
• Utilize monthly or weekly time buckets
• Define multiple calendars
• Determine forecast horizon up to 24 months
• Improve visibility with graphical output
• Edit suggested forecast to reflect market intelligence
• Store three or more years of history
• Use of proxy to forecast items with no history
• Batch updating of forecast parameters.

Matching Inventory Forecasting to your business

• Powerful Pareto (ABC) Analysis enables easy identification of the items that contribute most to the business
• Store parameter analysis sets that can carry through the entire process
• Multi-level analysis (stock code, warehouse, product class, supplier, planner or buyer) allows tracking of product performance at all these levels
• Analyze sales value, gross profit, cost of sales, quantity sold or hits (invoice line occurrences) with Pareto
• Automatically update history in real time
• Forecast in batch or manually – manual forecast items typically need market intelligence, or are of critical importance to the business
• Compare the manual forecast with computer recommended forecast
• Control and validate the forecast before it becomes active
• Convert approved forecast to current forecast with Requirements Planning
• Edit history to exclude specific invoices, outliers or make manual adjustments