Oracle Retail Demand

Forecasting Cloud Service

Retailers better understand the modern consumer as their journey

towards omnichannel proficiency continues. According to the

Massachusetts Institute of Technology, digital transformation of the

supply chain can lead to a 50% reduction in process costs and increased

revenue by 20%.

MAXIMIZE FORECAST ACCURACY

Forecasts are the foundation of every advanced retail analytics solution in this

modern retail environment, and accuracy is paramount.

Paired with Oracle Retail AI Foundation Cloud Service, Oracle Retail Demand

Forecasting Cloud Service (RDF) employs extensible analytics and AI to drive

optimal planning decisions. RDF provides accurate forecasts that enable retailers to

coordinate demand-driven outcomes that deliver connected customer interactions.

With a single view of demand, RDF provides pervasive value across retail processes,

including driving optimal strategies in planning, increasing inventory productivity in

retail supply chains, decreasing operational costs, and driving customer satisfaction

from engagement, to sale, to fulfillment.

With RDF, Oracle Retail distilled over 15 years of forecasting experience across

hundreds of retailers worldwide into a comprehensive solution that maximizes the

forecast accuracy for the entire product lifecycle.

RETAILERS CAN:

 Anticipate customer demand by maximizing the value of your data through the

application of retail sciences that draw from machine learning, artificial intelligence,

and decision science disciplines.

 Simplify forecast management by maximizing the productivity of your team with

exception-driven processes paired with an experience-inspired user interface.

 Inspire new ways to engage customers and augment the forecasting process

while maximizing the agility of your business with extensible science, workflows,

and operations.

Key Benefits

 Increase revenue and expand a

loyal customer base with higher in-

stock rates

 Increase profitability and

assortment flexibility with

decreased inventory levels

 Shift focus to strategic planning

and collaboration to drive

operations with sophisticated and

highly automated forecasts

 Join an active community of

hundreds of retailers worldwide

using these industry-leading

forecasting capabilities

https://ctl.mit.edu/research/current-projects/digital-supply-chain https://www.oracle.com/industries/retail/products/supply-chain-planning/demand-forecasting/ https://www.oracle.com/industries/retail/products/supply-chain-planning/demand-forecasting/

KEY FEATURES INCLUDE:

 Tailored approaches for short and long lifecycle products, maximizing forecast

accuracy for the entire product lifecycle.

 Seamless adaptability to recent trends, seasonality, out-of-stocks, and promotions

 Reflects a retailers’ unique demand drivers, delivering better customer experience

from engagement, to sale, to fulfillment.

 Dashboard views to support day-in-the-life forecasting workflows such as forecast

overview, scorecard, exceptions, and approvals.

 Transparency across the entire supply chain that enables analytical processes and

end-users to understand and engage with the forecast, increasing inventory

productivity.

 Coordination and simulation of demand-driven outcomes using forecasts that

adapt immediately to new information and without a dependency on batch

processes, driving operational agility.

PROVEN RESULTS:

Oracle Retail evaluated its next-generation forecasting science against 2.2M units sold

over the holiday season, representing over $480M in revenue. With the forecast

accuracy improvements, the retailer could achieve the same sales with at least

345,000 units less of inventory. With the Oracle Retail Demand Forecasting Cloud

Service, this specialty retailer improved 70% of forecasts using completely automated

forecasting.

Using completely automated forecasting science on Oracle Retail Demand Forecasting

Cloud Service, one retailer was able to:

• Decrease safety stock by 10%

• Reduce inventory by 30%, while achieving the same service levels

• Improve in-stock rates by 10%, through smarter inventory placement

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.

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.

Key Features

 Tailored approaches for short and

long lifecycle products.

 Seamless adaptability to recent

trends, seasonality, out-of-stocks,

and promotions

 Reflects a retailer’s’ unique demand

drivers, delivering better customer

experience from engagement, to sale,

to fulfillment.

 Dashboard views to support day-in-

the-life forecasting workflows such as

forecast overview, scorecard,

exceptions, and approvals.

 Transparency across the entire

supply chain that enables analytical

processes and end-users to

understand and engage with the

forecast, increasing inventory

productivity.

 Coordination and simulation of

demand-driven outcomes using

forecasts that adapt immediately to

new information and without a

dependency on batch processes,

driving operational agility.

 Embedded Retail AI Foundation,

powering Oracle Retail Demand

Forecasting Cloud Service with:

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

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.

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

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

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

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.

Learn more or request 1:1 demo

CONNECT WITH US

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