Friday Jan 10, 2014

Documentation in Oracle Retail Advanced Science Engine 14.0

Oracle Retail Advanced Science Engine (ORASE) is the centralized science engine that powers analytics for both the Oracle Retail Modeling Engine (ORME) and Oracle Retail Assortment and Space Optimization (ORASO) in support of retail business processes.

ORME performs data mining and calculates model parameters to support business processes in Oracle Retail Category Management, Oracle Retail Demand Forecasting (RDF), and Oracle Retail Analytics.The ORME 14.0 release contains the following modules: Customer Decision Tree, Demand Transference, Advanced Clustering, and Market Basket Analysis (a back-end process only). ORME solutions share a common workflow and user interface (UI). The common workflow lets users implement and interact with the new science modules using similar techniques. 

ORASO is a separate application that is used to optimize the use of space in a location or store cluster for a retailer’s product assortments.

 This new suite of products provides the functionality described below.

Customer Decision Tree

Customers make purchasing decisions by the characteristics, or attributes, of the competing products they are considering.  Because customers purchase products by attributes, retailers can understand customer purchasing behavior by understanding how customers perceive the attributes by using the Customer Decision Tree module. A customer decision tree presents, in tree form, a hierarchy of attributes. The level of each attribute within the tree indicates the relative importance a customer places on each attribute when deciding what to purchase.

The CDT application uses historical transaction data from the retailer to derive a customer decision tree, which segments the products by attributes. The application provides a measure called the CDT score that indicates how good a generated customer decision tree is. Retailers can analyze their product assortments using the information provided by the application in conjunction with the standard merchandise hierarchies.

Demand Transference

Demand Transference allows retailers to understand customer purchasing behavior in terms of item substitutability and to improve assortments by knowing how items in the assortment may substitute for each other. With the information provided by the application, retailers can optimize assortments to available space. In addition, retailers can understand how total category sales may be affected by assortment changes. Demand Transference can also demonstrate how total category sales are affected by assortment changes. It can show whether adding items to the assortment may result in large or small increases in total category sales.

Advanced Clustering

Advanced Clustering allows retailers to group locations based on product and store selling characteristics and other key attributes. The resulting clusters can be used to drive assortment, pricing, promotion, forecasting, allocation, and supply chain processes. Retailers can target specific customers by understanding customer characteristics, including the profile mix of who is shopping in the store or trading area and customer demographics such as ethnicity, income levels, education, household size, and family status.

Market Basket Analysis

Market Basket Analysis employs data mining to provide insight into the correlation among products in a customer's basket.

ORASO

ORASO is used by Category Management to make optimized assortment decisions. It is used to optimize the space for a category manager’s preliminary assortment. The category manager creates a preliminary assortment and wants to determine how well that list of products can fit in stores, given the available space, product sizes, and merchandising goals and rules. ORASO creates virtual planograms that organize products onto shelves according to these requirements in a way that optimizes total performance. 

Highlighted End User Documentation Updates

The documentation set for this new suite of products is described below.

Oracle Retail Advanced Science Engine Implementation Guide

The Implementation Guide provides detailed instructions regarding the configuration and implementation of ORME and ORASO. These details include WebLogic, database, user, and module-specific configurations, as well as information about data interfaces, ETL batch scripts, and database schemas.

Oracle Retail Advanced Science Engine Security Guide

The Security Guide describes the implementation of the required security features for ORME and ORASO. These include securing access to the applications and managing any security vulnerabilities.

Oracle Retail Modeling Engine Installation Guide

The Installation Guide describes the pre-installation setup procedures for the database, application server, and password stores, and provides detailed procedures for installing the application.

Oracle Retail Modeling Engine User Guide

The User Guide provides an orientation to the ORME user interface. In addition, it describes in detail how to configure the application based on specific retailer constraints and how to interpret the analytical results of the calculations performed by Customer Decision Tree, Demand Transference, and Advanced Clustering.

Oracle Retail Assortment and Space Optimization Installation Guide

The Installation Guide describes the pre-installation setup procedures for the database, application server, and password stores, and provides detailed procedures for installing the application.

Oracle Retail Assortment and Space Optimization User Guide

The User Guide provides an orientation to the ORASO user interface. In addition, it describes in detail how to configuration the application based on specific retailer constraints and how to interpret the analytical results of the space and assortment optimization performed by the application.

Friday Dec 13, 2013

Announcing Documentation for Oracle Retail Enterprise 14.0

The 14.0 release of the Oracle Retail application enterprise includes the most documentation published in the history of Oracle Retail. Over 200 documents have been published, and more documents than ever have been either considerably revised or developed from scratch to reflect the enterprise applications newest code base. In the upcoming weeks, this blog will address the various aspects of each solution unit's documentation sets. Some of the highlights include:

  • Commerce Anywhere updates within the documentation sets of Oracle Retail Merchandising System (RMS), Oracle Retail Store Inventory Management (SIM), the POS Suite, Oracle Retail Warehouse Management System (RWMS), and Oracle Retail Advanced Inventory Planning (AIP).
  • Two key My Oracle Support libraries addressing Commerce Anywhere from a Functional perspective and a Technical perspective, the latter developed using the authoring tools and best practices of the Retail Reference Architecture.
  • New documentation sets for applications within the Oracle Retail Advanced Science Engine (ORASE) suite of products.
  • A new documentation set for the Oracle Retail Service Backbone.
  • An expanded Enterprise Integration Guide.
  • An enhanced RWMS documentation set reflecting new functionality for both Task Management and Activity Editor.
  • Security Guides published for each solution unit.
  • RPAS and application documentation to reflect the new RPAS Extension Framework
  • Deep new and updated Merchandising Functional White Papers in areas such as Franchise, Catch Weight, Deals, and so on.
  • A new Developer's Guide technical paper and new Data Model for the RMS Data Access Schema.
  • A revised and enhanced RMS Operations Guide.
  • Oracle Retail Analytics documentation updates to reflect its 25 new Dashboards spanning Commerce Anywhere, Consumer, Clustering and Wholesale / Franchise.

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The blog is designed to help retailers and partners receive regular updates about documentation releases at Oracle Retail.

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