1 Introduction
Oracle Retail Assortment Planning Cloud Service provides bottom-up item planning and performance over time which is an extension of assortment planning. These functions support proactive, in-season item management resulting in fewer lost sales, excessive markdowns, and profitable exit strategies. For a more detailed overview of the functionality within Assortment Planning Cloud Service, see the Oracle Retail Assortment Planning Cloud Service User Guide.
Contents of the Guide
This implementation guide addresses the following topics:
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Introduction: Overview of the Assortment Planning Cloud Service business workflow and skills needed for implementation.
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Implementation Considerations: Explanation of the factors to take into consideration before performing the implementation.
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RAP Integration: Description of RAP integration with Oracle Retail Merchandising Foundation Cloud Service (RMFCS), Retail Insights (RI), and AI Foundation (AIF).
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Appendix: Integration with MFP Cloud Service: List of measures for integration with MFP Cloud Service.
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Appendix: RMFCS Integration: Information needed for integrating with Oracle Retail Merchandising Foundation Cloud Service.
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Appendix: Standard Exports: List of measures for the available exports.
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Appendix: Application Specific Custom Functions, Procedures, and Expressions: Information on custom functions available for Assortment Planning Cloud Service.
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Appendix: APCS Scheduling in JOS/POM: Provides information about the list of jobs available for APCS.
Application Overview
Assortment Planning:
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Assortment Planning module which supports the creation of number of options, and the buy quantity calculation
Item Planning:
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Pre-season buy planning to translate assortment sales targets into actionable receipt plans
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Exception-driven in-season planning to manage key item performance
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Reconciliation to merchandise financial plans
Skills Needed for Implementation
The implementer must have an understanding of the following applications and technical concepts.
Applications
The implementer must understand interface requirements of the integrated applications and data sources for the master data, demand, and inventory history. For full implementation, the implementer requires this knowledge for the following applications:
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Oracle Retail Predictive Application Server Cloud Edition (RPASCE)
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Oracle Retail Merchandise Financial Planning Cloud Service (MFPCS)
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Oracle Retail Inventory Planning Optimization Cloud Service-Demand Forecasting (IPOCS-Demand Forecasting) (optional)
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Oracle Retail AI Foundation Cloud Services (AIF) (optional)
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Oracle Retail Merchandising Foundation Cloud Service (RMFCS)
Technical Concepts
The implementer must understand the following technical concepts:
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UNIX system administration, shell scripts, and job scheduling
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Performance constraints based on the retailer’s infrastructure
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Retailer’s hierarchical (sku/store/day) data
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Understanding of how RPASCE rule language works
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Understanding of measures and dimension constructs
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Understanding of how the RPAS Cloud Edition user interface works