Oracle Retail Merchandise Financial Planning Cloud Service
Paired with Oracle Retail AI Foundation Cloud Service, Oracle Retail Merchandise Financial Planning Cloud Service employs extensible analytics and AI to drive optimal planning decisions. Coordinate plans across multiple teams. Invest in the right inventory using science, actualized weekly sales, location views, and unconstrained forecasts.

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Oracle Retail
Merchandise Financial
Planning Cloud Service
In retail, it all starts with a plan. Senior management sets strategic
merchandise and financial objectives - and all the other departments
aim to meet them. In today’s retail world, management needs to set
goals for multiple channels and formats that are common in today’s
competitive environment. Independently, merchants, planners, store
operations managers, and others create many low-level financial, store,
item, assortment, and operational plans in order to support the
corporate plan’s goals. These low-level, detailed, financial, and unit
plans define how the retailer will achieve corporate goals.
ENABLING RETAILERS TO DRIVE PROFIT
Paired with Oracle Retail AI Foundation Cloud Service, Oracle Retail Merchandise
Financial Planning Cloud Service employs extensible analytics and AI to drive optimal
planning decisions.
Key benefits include:
Integrated Forecasting - Bases plans on accurate demand forecast, rather
than focusing on sales history. Ensures all departments are working with a
common plan.
Improved Accuracy - Provides views into sales history, actualized weekly
sales, and unconstrained forecast to support better, more accurate
planning.
Increased Profits - Supports proactive retail management, resulting in
fewer lost sales, excessive markdowns, and unprofitable exit strategies.
Increased Return on Investment - Enables receipt flow planning down to
the weekly level to maximize return on inventory investment and align
promotional activities with strategic goals by geography, class/category,
and selling channel.
Reduced Markdowns - Ensures that bottom-up item plans reconcile with
top-down financial plans, preventing over-stocks.
Scalable and Continuous Delivery - Solutions scale globally yet are
configurable to support changes in local markets through a continuous
delivery of enhancements and upgrades that can easily be applied.
Benefits
Improved plan accuracy
Increased gross margin
Increased return on
investment (ROI)
Reduced markdowns
Lower total cost of ownership
(TCO)
Future-proofed plans
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Key features include:
Pre-Season and In-Season Planning - Provides both pre-season and in-
season planning with key financial indicators that include sales, markdowns,
receipts, inventory, gross margin, and open-to-buy.
Plan Alignment - Users can bring many plans together for easy
reconciliation and approval through consistent, disciplined processes.
Retail and Cost Accounting - Retailers can use either cost or retail
accounting methods.
Exception Based - Exception management functions flag affected areas of a
plan that otherwise might not be noticed when managing large amounts of
data.
Integrated Forecasting - This end-to-end suite of integrated solutions
ensures that all components of the retail enterprise can rely on a common
financial plan.
Multi-Currency and Geography - Plans can be created, reviewed, and
approved in multiple currencies and languages.
Fulfillment Planning - Supports cross-channel returns planning and
customer journeys (Buy Online Return in Store, Buy Online Pick Up in Store,
Buy in Store Ship From Warehouse) to increase inventory visibility, accuracy,
and reduce markdowns.
Omnichannel Planning - Supports the modern retail model of buy
anywhere/fulfill anywhere, with channel-specific metrics for brick and
mortar stores, direct selling operations, and wholesale/franchise
enterprises.
Integrated Forecasting - Bases plans on accurate demand forecast, rather
than focusing on sales history. Ensures all departments are working with a
common plan.
Improved Accuracy - Provides views into sales history, actualized weekly
sales, and unconstrained forecast to support better, more accurate
planning.
Increased Profits - Supports proactive retail management, resulting in
fewer lost sales, excessive markdowns, and unprofitable exit strategies.
Increased Return on Investment - Enables receipt flow planning down to
the weekly level to maximize return on inventory investment and align
promotional activities with strategic goals by geography, class/category,
and selling channel.
Reduced Markdowns - Ensures that bottom-up item plans reconcile with
top-down financial plans, preventing over-stocks.
Scalable and Continuous Delivery - Solutions scale globally yet are
configurable to support changes in local markets through a continuous
delivery of enhancements and upgrades that can easily be applied.
ORACLE 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, and are based upon an architecture and
technology stack that is optimally engineered for rapid, low-cost deployments and
exceptional performance and scalability, and the highest levels of system availability
and security - from storage to scorecard.
Features
Quick implementation
Merchandise and location planning
Best practice-driven
Proven, globally scalable planning
platform
Omnichannel planning
Supports multiple currencies and
geographies
Pre and in-season planning
Retail and cost accounting methods
Automated exception management
functions
Designed to be integrated with
Oracle Retail solutions
Embedded Retail AI Foundation and
machine learning for:
o Forecasting Engine
o Customer Segmentation
o Advanced Clustering
o Profile Science
o Attribute Extraction &
Binning
o Customer Decision Trees
o Demand Transference
o Affinity Analysis
o Innovation Workbench
Further extensibility with:
o Oracle Retail Home
o Oracle Analytics
o Oracle Application Express
o Oracle REST Data Services
o Oracle Machine Learning
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ORACLE RETAIL AI FOUNDATION
Core retail AI and machine learning (ML) powers all Oracle Retail Analytics and
Planning cloud services. For example:
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 a user’s interactions with the
data and applications that are most relevant to their roles, and to better empower them
to anticipate informed
actions, and to 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.
The Oracle Retail Analytics and
Planning family of cloud services
includes:
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
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ORACLE ANALYTICS
Oracle Analytics can be used to generate and consume analytics from Oracle Retail AI
Foundation data, and in turn 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
Beyond the extensibility afforded by the Oracle Retail AI Foundation’s Innovation
Workbench, Oracle Analytics, and Oracle Retail Home, also included are Oracle Data
Store, Oracle APEX, and Oracle REST Data Services.
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.
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.
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