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Forecast at item/warehouse level
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Variety of forecast algorithms including a competition method
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Set default algorithms at company or stock code levels
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Ability to handle seasonality
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Manually or automatically remove outliers and anomalies
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Facility to edit history
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Utilize monthly or weekly time buckets
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Define multiple calendars
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Determine forecast horizon up to 24 months
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Improve visibility with graphical output
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Edit suggested forecast to reflect market intelligence
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Store three or more years of history
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Use of proxy to forecast items with no history
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Batch updating of forecast parameters.
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Powerful Pareto (ABC) Analysis enables easy identification of the items that contribute most to the business
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Store parameter analysis sets that can carry through the entire process
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Multi-level analysis (stock code, warehouse, product class, supplier, planner or buyer) allows tracking of product performance at all these levels
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Analyze sales value, gross profit, cost of sales, quantity sold or hits (invoice line occurrences) with Pareto
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Automatically update history in real time
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Forecast in batch or manually – manual forecast items typically need market intelligence, or are of critical importance to the business
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Compare the manual forecast with computer recommended forecast
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Control and validate the forecast before it becomes active
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Convert approved forecast to current forecast with Requirements Planning
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Edit history to exclude specific invoices, outliers or make manual adjustments
