1 DATASHEET | Oracle Retail AI Foundation Cloud Service | Version 1.00

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Oracle Retail AI Foundation Cloud Service

These days competing in retail often means competing in retail analytics,

retail artificial intelligence, (AI) and machine learning (ML).

AI and ML employ the more advanced analytics – the predictive (what will

happen) and the prescriptive (what actions are recommended). It is

imperative that retail AI and ML be ubiquitous in retail decision making,

whether those decisions tie to assortments, offers, inventory placement,

forecasts, plans, pricing, etc.

ORACLE RETAIL AI FOUNDATION

The Oracle Retail AI Foundation is common to the unified Oracle Retail Analytics and

Planning family, harnessing the retail industry’s best analytical minds, technology,

and data to power each decision therein.

Drawing upon the data consolidation and extensibility of the Oracle Retail Data Store,

the AI Foundation models operational data and applies statistical algorithms that

identify the patterns informing its predictive and prescriptive analytics.

The AI Foundation is highly-configurable and can be tuned to reflect a retailer’s

unique business model and objectives and, in the spirit of machine learning, is

constantly improving, regardless of the level of user assistance. It offers a flexible,

consumption-based subscription model, supporting the levels of storage and

computing that each retailer uniquely requires.

ORACLE RETAIL CLOUD INFRASTRUCTURE

All Oracle Retail Analytics and Planning cloud services are deployed as cloud-native

Software-as-a-Service solutions within Oracle Cloud Infrastructure (OCI) upon

Oracle’s Autonomous Data Warehouse. It is based upon an architecture and

technology stack optimally engineered for rapid, low-cost deployments and

exceptional performance and scalability, with the highest system availability and

security levels - from storage to scorecard.

Key Benefits:

 Core retail AI and ML to

power retail decision

making across planning,

buying, moving, and

selling teams

 Ability to orchestrate

strategic retail decisions

across teams with one

consolidated, end-to-end

view of retail data

 An embedded analytics

toolset that enables

users to consume retail

AI and ML; however, they

prefer

 Retail innovation through

extensibility

 Rapid, lower-cost SaaS

deployments while

enjoying the

performance and

security of the Oracle

Cloud Infrastructure

2 DATASHEET | Oracle Retail AI Foundation Cloud Service | Version 1.00

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ORACLE RETAIL AI FOUNDATION CORE AREAS

Forecasting Engine - Provide an intelligent starting point for your planners,

increasing automation and accuracy. Move to a more touchless and exception

management planning process.

Customer Segmentation - Group customers based on attributes, behaviors, and

transactions to tailor offers, pricing, and assortments accordingly, incorporating

previously hidden patterns in your data.

Advanced Clustering - Cluster your stores based upon traditional approaches of

volume, square footage, region, etc., or leverage machine learning techniques to

cluster stores based upon similar selling patterns, truly creating a customer-centric

assortment.

Profile Science - Determine the best size ratio for your buys by understanding the

true demand of your sizes while considering stock-outs.

Attribute Extraction and Binning - Extract item attributes from free-form

descriptions, correcting short forms, misspellings, and other inconsistencies, and

apply them to Demand Transference, Customer Decision Trees, Advanced Clustering,

and more.

Customer Decision Trees - Understand how your customers are shopping your

assortments to drive attribute-based alternate hierarchies and effectively plan your

assortment the way your customer shops.

Demand Transference - Understand how unique your items are and the incremental

revenue that item brings to determine the most optimal assortment for your

customer.

Affinity Analysis - Determine how items interact with each other to drive a more

effective promotional strategy within your financial planning process.

Innovation Workbench - Leverage open source along with your data science team to

create your own AI and ML models. Utilize the language of your choice with

Jupyter/Zeppelin notebooks.

ORACLE RETAIL HOME

Oracle Retail Home is a single access point to simplify users’ interactions with the

data and applications that are most relevant to their roles and empowers them to

anticipate informed actions and inspire engagement.

Based on a robust and flexible portal framework, Retail Home is intended first to

provide timely and role-specific high-level insights and second to enable selectively

drilling into relevant applications for more details.

Key Features

 Forecasting Engine

 Customer

Segmentation

 Advanced

Clustering

 Profile Science

 Attribute Extraction

and Binning

 Customer Decision

Trees

 Demand

Transference

 Affinity Analysis

 Innovation

Workbench

 Oracle Retail Home

 Oracle Analytics

 Oracle Application

Express

 Oracle REST Data

Services

 Oracle Machine

Learning

https://video.oracle.com/detail/video/5828487828001

3 DATASHEET | Oracle Retail AI Foundation Cloud Service | Version 1.00

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ORACLE ANALYTICS

Oracle Analytics can be used to generate and consume analytics from Oracle Retail

AI Foundation data. It can also surface dashboards to Oracle Retail Home.

Oracle Analytics is a comprehensive platform that parlays data into information to

provide business insights, federating a broad array of features to suit business users,

power users, and data scientists.

Governed Self-Service Augmented

 Corporate Dashboards  Data Preparation  Natural Language Processing

 Pixel Perfect Report  Data Visualization  Voice and Chatbot

 Semantic Models  Storytelling  Data Enrichment

 Role-based Access Control  Sharing and Collaboration  One-Click “Explain”

 Query Federation  Mobile Apps  Adaptive Personalization

ORACLE DATA STORE AND APPLICATION EXPRESS

Oracle Retail Data Store can supply data for Oracle Application Express (APEX)

apps and Oracle REST Data Services, which both are included. APEX is a low-code

development platform that enables you to build scalable, secure enterprise apps

with world-class features that can be deployed anywhere.

Developers can quickly develop and deploy compelling apps that solve real problems

and provide immediate value using APEX. You won't need to be an expert in a vast

array of technologies to deliver sophisticated solutions. Focus on solving the problem

and let APEX take care of the rest.

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CONNECT WITH US

Call +1.800.ORACLE1, visit oracle.com/retail or email retail-central_ww@oracle.com

Outside North America, find your local office at oracle.com/contact.

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Copyright © 2020, Oracle and/or its affiliates. All rights reserved. This document is provided for information purposes only, and the contents hereof are subject to change

without notice. This document is not warranted to be error-free, nor subject to any other warranties or conditions, whether expressed orally or implied in law, including

implied warranties and conditions of merchantability or fitness for a particular purpose. We specifically disclaim any liability with respect to this document, and no contractual

obligations are formed either directly or indirectly by this document. This document may not be reproduced or transmitted in any form or by any means, electronic or

mechanical, for any purpose, without our prior written permission.

Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners

ORACLE REST DATA SERVICES

Oracle REST Data Services bridges HTTPS and your Oracle Database, providing,

among other things, a REST API, SQL Developer Web, a PL/SQL Gateway, SODA

for REST, and the ability to publish RESTful Web Services for interacting with the

data and stored procedures in your Oracle Database.

ORACLE MACHINE LEARNING

Oracle Machine Learning supports data exploration, preparation, and machine

learning modeling at scale using SQL, R, Python, REST, AutoML, and no-code

interfaces. It includes more than 30 high-performance in-database algorithms

producing models for immediate use in applications.

By keeping data inside the database, organizations can simplify their overall

architecture and maintain data synchronization and security. It enables data

scientists and other data professionals to build models quickly by simplifying and

automating key elements of the machine learning lifecycle.

The Oracle Retail Analytics and

Planning family of cloud

services include:

 Oracle Retail AI Foundation

 Oracle Retail Insights

 Oracle Retail Assortment and

Space Optimization

 Oracle Retail Promotion and

Markdown Optimization

 Oracle Retail Offer

Optimization

 Oracle Retail Merchandise

Financial Planning

 Oracle Retail Assortment

Planning

 Oracle Retail Demand

Forecasting

 Oracle Retail Inventory

Optimization

REQUEST A DEMO

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