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Cost method defined per warehouse (average, standard, last, LIFO, or FIFO)
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Retain cost in unit of measure other than stocking
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Powerful pricing options (quantity, discounted, contract pricing, and more)
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Globally change cost and selling prices
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Track transfers between warehouses
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Order policies and order modifiers defined at warehouse level
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Multiple bin locations specified per warehouse
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Multiple units of measure per item
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Optional two-phased receiving
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Backflush items with short manufacturing cycles
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Lead times and dock-to-stock for realistic time-phasing
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Record notes per item for purchasing, sales and manufacturing, including technical specs and dangerous goods handling
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Place stock codes on hold
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Robust physical inventory system
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Cross-reference supplier and customer stock codes
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Assign same serial number to multiple items
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Browse stock items using multimedia images
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Group inventory items into sales kits
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Calculate minimum quantity based on usage
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Facilitate bar code integration
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Extensive security options for maintaining Inventory information
Inventory families and groupings g
Objective
To provide the tools to arrange ‘collections’ of SKUs (stock keeping units) into families of products and groupings of like items. These collections provide a high-level view of items at which sales forecasts can be produced and the quality of the forecast can be measured. A significant feature is the ability to group warehouses for purposes of forecasting at a regional or territory level for Logistical or Supply Chain purposes. This also enables forecasts to be generated at a brand level to facilitate a clearer Marketing picture.
The Value of Inventory Families and Groupings
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Establish families or groupings of SKUs using SYSPRO’s unique ‘Collections’ capability with hierarchical structures for Brand or Product Type views
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Consolidate SKUs with different pack sizes using an alternate common unit of measure
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Forecast at regional or territory level by consolidating warehouses for logistical or Supply Chain purposes
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Aggregate sales history of the collection members to enable a forecast at collection level and then disaggregate collection forecast back to SKU level
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Facility to edit history at collection level
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Variety of forecasting algorithms including a competition method which automatically selects the best algorithm for the collection
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Forecast using sales value, cost value, quantity or gross profit as the basis
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Set default algorithms at company or collection level
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Detect seasonality and apply forecasts to seasonal data with trending if present
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Manually or automatically remove outliers and anomalies
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Use SKU history of three or more years
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Utilize monthly or weekly time buckets
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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
Matching Inventory Families and Groupings to your business
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Very powerful Pareto (ABC) Analysis provides ranking of the items within each collection
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Generate and review forecasts at various levels in the family hierarchy (grandfather, father, child)
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Multi-level analysis of family performance over time
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Analyze sales value, gross profit, cost of sales, quantity sold or hits (invoice line occurrences) using very functional Pareto capability
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Automatically update collection history in real time
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Compare manual forecast with computer recommended forecast
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Control and validate the forecast before activating
