In Assortment Analysis, finalizes the selected run. In Assortment Analysis, makes the selected finalized run available for use by other applications. In Optimization Objectives, provides access to the Edit Constraints dialog box, which you use to edit settings. Radio button that toggles the display between a detailed view and a summary view. In Assortment Analysis, clears the Selected Runs list. In Optimization Setup, when creating a new run, provides access to a dialog box for adding stores. Used to close a dialog box without making a selection. Used to return to the previous train stop. In Optimization Objectives, used with the Edit Objectives drop-down list. Within the Add Stores dialog box, used to add all stores instead of a sub-group of stores. Provides access to the following actions: Submit, Re-Submit, Validate, Save As, and Approve.
Roll back finalized and exported space-optimized assortments Modify rules for mapping products to POG setsįinalize and export space-optimized assortments View rules for mapping products in POG sets Toggle assortment status between Ready for ASO and POG Mapping Needs Review Runs they created with technical failures Modify the name and description of an existing ASO run. Table 1-1 User Roles and Permissions Privilege Approved runs are then available for assortment analysis and can then be finalized and exported. The assortment is mapped to one or more planograms and one or more optimization runs occur. ASO creates these groups by splitting stores from an assortment cluster into smaller groups of stores that have the same product list and the same current planogram length.Īt a high level, ASO starts with an assortment that is ready for optimization. Space clusters are typically a level between assortment cluster and store. Each space cluster includes stores that are in the same assortment, have the same product list, and have the same current planogram length (or same POG length, height, and depth, if selected). Space Clusters are ad hoc groups of stores used for optimization. Optimizations are run at either the Store level or at the Space Cluster level.
The recommended product level data is used inside Category Management, while the virtual planograms created in ASO are also then available to be used in space planning.ĪSO supports real-time data integration with Category Management via the RPAS Hybrid Storage Architecture (HSA).ĪSO supports the following fixture types: The products and product assortments that are selected for the virtual planograms are the ones that ASO recommends for the finalized assortment. ASO uses information about available space, product dimensions, expected demand, replenishment schedules, merchandising rules, fixture space, and category goals in order to create a virtual planogram that optimizes total performance. Oracle Retail Assortment and Space Optimization (ASO) is used to determine the optimal selection and arrangement of products within stores by optimizing the product assortment and product placement on a virtual planogram.
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