Mirror of Oracle documentation
Converted for search and offline reading. Authoritative source: Oracle. Diagrams and some complex tables are simplified — check the PDF when in doubt.
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ORACLE:
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Target Stock can be calculated through different methods, ranging from a simple Fixed Units quantity to more sophisticated methods based on demand volatility and service level, to fit different product types and demand behaviors throughout the product lifecycle
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Analysis Capabilities
- Ability to analyze supply chain performance indicators such as days of stock at any level of the location/Merchandise hierarchies combined with product and/or location attributes
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Product Lifecycle Recognition
- Lifecycles are used to rule the replenishment approach over time, based on the item lifecycle phase
Supported Replenishment
Supported Replenishment (pull) activities include:
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Predict how much stores will sell
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Determine how much inventory stores should carry, for example, store Target Stock (Target Stock) level
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Predict how much the warehouse will ship to stores
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Distribution of constrained stock
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Determine how much inventory the warehouse should carry
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Generate/Review/Approve orders for all locations
Supported Allocation
Supported Allocation (push) activities include:
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Post-distribute goods housed in warehouses to stores (end-of-life management).
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Management of store-to-store transfers when supply is limited or for stock re- balancing across stores.
User Experience and Workflow
The user experience is delivered on our experience inspired Retail Predictive Application Server Cloud Edition (RPASCE) user interface (UI). RPASCE provides end-users with a nextgeneration cloud-native UI that is purpose-built to accelerate intent into action for planners and forecasters. This includes interactive and visual dashboards to assess priorities, responsive and flexible workspaces to implement decisions and a coordinated exceptions framework that ties business processes all the way from dashboard to mobile phone.