Oracle Cloudday - the future of retail

The Future of Retail
In the Oracle Cloud

2Oracle Cloud | Johan Louwers | NOV 2017 © 2017 Capgemini. All rights reserved.
• Johan Louwers
• Capgemini - Chief Architect Oracle Technology
• Oracle ACE Director
• Background in
• Oracle,
• Linux,
• Infrastructure,
• Security
• Cloud
• Contact
• Johan.louwers@capgemini.com
• Twitter : @johanlouwers
In the Oracle Cloud

Showcasing a Capgemini implementation of a third party warehouse replenishment system
For a large retailer in the BeNeLux
In the Oracle cloud, spanning datacenters in the Netherlands and the United Kingdom
Orchestrate replenishment and logistics from the Oracle Cloud

Cloud based replenishment Oracle Cloud Solution Building Blocks
Ask: deployment of a HA third party
warehouse replenishment system which
will enable connectivity to on-prem SAP
systems that will take the responsibility
to plan and orchestrate all intern move
orders for replenishment
Information source : MasterCard
Solution(s): Using Oracle Compute
Cloud and Oracle Database cloud for
running third party software. Building a
deployment stretching both UK and NL
based Oracle datacenters and using
Corente Gateway solutions for DC2DC
Oracle (Cloud): the following building are
used :
• Oracle Compute Cloud Service
• Oracle Database Cloud Service
• Oracle Corente Gateway
• Oracle plugin for TerraForm (automation)
Orchestrate replenishment and logistics from the Oracle Cloud

The future of retail in the cloud
Will be driven by the combination of cloud native solutions complemented by third party software
Underpinned by a strong IaaS presence
In the Oracle Cloud

Retailers who will not adopt an omni-channel retail model with a strong focus on mobile will fail
In the Oracle Cloud

Will be working in a hybrid model with strong ties into edge computing and third party solutions
Supported by the solutions and building blocks that can be found in the Oracle Cloud
In the Oracle Cloud

Will be all about collecting data and being able to act and react in real-time to changing customer demands
In the Oracle Cloud

A number of examples that retailers are currently exploring / implementing and using
(running through them as long as we have time)
Solutions that can be developed / deployed & supported by the Combination Oracle & Capgemini
In the Oracle Cloud

RETAILING FUTURE (2020) Oracle Cloud Solution Building Blocks
Pick up at the store
Ask: being able to provide customers
the option to order products online and
pick them up at a store location on a
given time and date.
Solution(s): connect online sales to
internal store logistics and warehouse
logistics.
Oracle (Cloud): the following building
blocks can be used in such a example:
• Oracle API platform cloud services

Pick up at a “random” location
the option to order products online and
pick them up at a “random” location on
a given time and date with the option to
provide location advise based upon
mobile geo location and being able to
change pickup location.
Solution(s): connect online sales and
mobile platform to central logistics and
third party pick-up-point companies
• Oracle Mobile Cloud Services

Same day delivery
the option to delivery items bought in
store to their homes the same day as
well as same day delivery from web
ordered purchases.
Solution(s): connect POS and online
sales to internal logistics and third party
“same-day delivery” companies in
combination with CRM and loyalty
systems.

Digital window and mobile pre-ordering
the option to select items via mobile
and shop-front solutions to be ready for
fitting when arriving in the store.
Solution(s): Using third party shop-
front interactive advertising solutions in
combination with mobile applications to
empower customers. Providing
additional suggestions based upon
customer data and peer-shopper data
• Oracle Compute Cloud Services
• Oracle BI Cloud Services

Dynamic pricing on all channels
Ask: being able to dynamically change
price during the day based in both
online as well as brick and mortar
stores with the potential to change
prices per customer with mobile
augmented reality
Solution(s): Using third party
electronic shelf label systems in
combination with BI “best price
prediction” models and customer
specific data in CRM and loyalty
systems.

Robotizing customer interaction and guidance
Ask: being able to use smart mobile
robotics for handling customer
questions and support in shelve
replenishment. Being able to provide
direct interaction and guidance to
customers
Solution(s): Enable third party robotic
platforms access to current inventory
information, CRM and loyalty systems,
floorplan details and product
information systems

Augmented reality and instore mobile support
Ask: being able to guide customers to
products in the store and provide
additional product advices based upon
historical data. Being able to provide
additional product information on a
mobile platform
Solution(s): Using a mobile platform
which is connected to in-store beacons,
product information systems, CRM and
loyalty systems

Facial recognition for customer tracking and interaction
Ask: being able to recognize a
customer the moment he walks into a
store. Being able to connect the
presence and location of a customer
with in-store digital advertising.
Additionally being able to do “per
person” interest tracking.
Solution(s): Using third party (edge)
facial recognition software and integrate
this with your CRM and loyalty system.
Enable content pushing to in-store
screens
Oracle BI Cloud solutions

Store traffic prediction and analysis
Ask: being able to understand how
customers navigate through a store and
optimize store layout, advertising,
dynamic pricing and shelving based
upon real-time and historical data
Solution: using third party solutions for
traffic pattern monitoring and feed this
to BI systems for predictive and “what
if” analysis to enable retailers to
optimize floor layout and shelving.
• Oracle BI Analytics
• Oracle Big Data Cloud service

Eye tracking for shelve optimization
Ask: being able to understand how
customers look at a shelve and when a
shelve layout optimizes the buying of
products
Solution: using third party solutions for
eye movement tracking combined with
sales data and historical data provide
the option to understand customer
behavior and supports shelve layout
optimization
• Oracle Database as a Service
• Oracle BI Analytics
• Oracle Big Data Cloud service

Robotizing the local shop stock
Ask: being able to use smart mobile
robotics for handling local stock
requests.
Solution(s): Enable third party robotic
platforms to provide customers with
items from local stock on request and
based upon known customer desires
known in the CRM system.

• Johan Louwers
• Capgemini - Chief Architect Oracle Technology
• Oracle ACE Director
• Background in
• Oracle,
• Linux,
• Infrastructure,
• Security
• Cloud
• Contact
• Johan.louwers@capgemini.com
• Twitter : @johanlouwers
Feel free to contact me

Thank you
(let's do coffee !!)

Oracle Cloudday - the future of retail

Oracle Cloudday - the future of retail

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