One of the largest retailers in North America are considering Apache Geode for their new mobile loyalty application, to support their digital transformation effort. They would use Geode to provide operational data services for their mobile cloud service. This retailer needs to replace sluggish response times with sub-second response which will improved conversion rates. They also want to able to close the loop between data science findings and app experience. This way the right customer interaction is suggested when it is needed such as when customers are looking at their mobile app while walking in the store, or sending notifications at the individuals most likely shopping times. The final benefits of using Geode will include faster development cycles, increased customer loyalty, and higher revenue.

1. Using Geode to Enhance Customer Experience

2. 2Copyright © Capgemini 2015. All Rights Reserved
What problem are we trying to solve?
Every retailer’s problem to solve…
Personalized Service
Mobile
check-
out
Optimized Staffing,
Tasks and Training
Real-time Inventory
Tracking
Assortment and Price
Differentiation
Endless Aisle
Facilities
Control
Fault
Detection
Dynamic
Layout
Platform Data SecurityAnalytics
Virtual Wall
Dynamic Labels
Smart Digital Signage
Customer Devices
END POINT CAPABILITY PROCESS CORE PROCESS END POINT CAPABILITY
Knowledgeable Sales
Associates
Heating and Lighting
Robotics
POC and Mobility
Clienteling Apps
Customer
Employee
Physical
Store
Product
Customer Profiling
Traffic, Purchase Patterns
In-store Interactions
Personalized
Recommendations
What retailer’s “Loyalty 2.0” might be
grappling with…
1. Omni-Channel,
Seamless Commerce
2. Insights & Data
3. Marketing Resource
Management
4. Applied Innovation
5. Unified View of the
Customer
Next GeneraFon Loyalty Programs requirements…
The holy grail of
customer loyalty
Delivering insights at
the point of action in
“human time”

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Some key dimensions of the problem…
§ Retailers have many Big and Fast Data challenges ...
§ Data volumes – number of companies storing 100+ TB is growing …
… but they are analyzing only a frac%on of their data assets
§ Most retailers have 10’s to 100’s of systems churning out data in real Fme
- plus external data sources (social media, weather, demographic, spaFal)
that they should be using …
… but they struggle to store and integrate data, and manage data complexity
> today, BATCH rules
0
50
100
Structured Semi-Structured Unstructured
Not Analyzed Analyzed
Volume
Velocity
Variety

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Just imagine: urban living in 2025 and the requirements of the
retail environment.
Consumer engagement
Taking part in a dialogue with consumers, jusFfying
their trust in the industry
Transparency
Keeping consumers informed about products’ key
a`ributes, ingredients, nutrients and provenance as
well as their environmental and societal impacts
The last mile of distribu%on – both to the retail
store and to the consumer
Reconsidering the assumpFon that it is an area where
companies operate independently of each other, and
exploring opportuniFes to collaborate to improve
speed, efficiency and consumer saFsfacFon
Enabled by Modularized Technology
Business agility and rapid collaboraFon require the
transformaFon from rigid and purpose-built IT
structures into mulF-use, component-based technology
capabiliFes which allow for easy assembly or
disassembly according to business needs.

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Everything changes before tomorrow
Click Call Read
Click
Location
Push
Engage
Lifestyle
Location
Demand
?

6. 6Copyright © Capgemini 2015. All Rights Reserved
Why tomorrow is too late
I’m at the store
in Charlotte
Human-Time
Social Analytics
Store
Master
Customer
Master
Human-Time
Business
Analytics
Customer
Transactions
Product
Master
Store ABC
Jane Doe
Jane
Hey Shovel
fans: Offer
Code!
Great: On our
way!
Jane’s Friends

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Geode Cluster
How we are using Geode for this
Data Lake
Geode Geode Geode Geode Geode Geode
Write Back Batch Analytics Services
Reference
Data
Enterprise
History
Cache
Fast
Speed
Consumer
Data
Human-Time analytics
Bulk Enterprise Data

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Advantages of a no-RDBMS architecture
§ Geode/Gemfire handles the transactional integrity
§ Data Lake stores the history
§ Developer model is much more suited to Java
developers than RDBMS
§ Enables multiple other engines to be added to the
Batch part
§ Neo4J for network/graph analytics
§ Cost

9. 9Copyright © Capgemini 2015. All Rights Reserved
What could tomorrow look like?
The Present Tomorrow?
Retailers send consumers
coupon books generated on a
monthly basis.
Retailers figure out consumer shopping patterns, and deliver offers the day before the
consumer plans to shop. No coupons – the consumer has an electronic wallet that pops
up in-store.
Customers get printed coupons
when they go through the check
out line.
Consumers scan products as they shop, interact with “recommender” systems they like,
and skip the check out line. Apple Pay.
- Recipe Help
“It looks like you’re making chili – but you didn’t pick up any kidney beans – did you
forget?”
- Healthy Choices
“I see you just selected potato chips – would baby carrots be a better choice?”
- Market Share Shifting
“There’s an extra 20% off if you choose Doritos instead of Lays today.”
- Managing Perishable Store Inventory
“I know you like lettuce – there’s special pricing if you buy today.”
Hint: Store ordered too much lettuce, it’s going to spoil if not sold soon.
Customers push their carts up
one aisle and down the other.
“I see that it’s been several weeks. Have you been busy? Since you are one of our best
customers, would it help if we were to suggest some items to tide you over, and deliver
them by Uber right now?”
“The weather forecasters are predicting a blizzard. Do you need some extra supplies?
Do you need bottled water for baby formula? We can deliver…”

10. 10Copyright © Capgemini 2015. All Rights Reserved
Enterprise Big Data Reference Architecture –
Business Data Lake
Hadoop – Foundational Elements
REST
HTTP/S
Stream
SPARK-ML (Formerly Mahout)
ClassificationClustering
Collaborative
Filtering
Processing & Computation
In-Memory
Process
SPARK R
SPARK
YARN
Business Data Lake Zones
Interactive
Analytics
Visualization
& Reporting
Analytical
Tools,
Simulation &
Languages
Enterprise
Solutions
(API – XML –
Json)
Localized
Data Sources
Deep Learning
Machine Learning, Evolutionary/Genetic Programming, Complex Event Processing & Enterprise Automation
Tachyon
Load & Refine
Scoop
Flume
Hive
NFS
WebHDFS
Pig
Speed Layer Zone 0 Zone 1 Zone
5
Zone 2 Zone 3 Zone 4
Cleanse
d
Ideation
SandboxEnriched
Detailed
Modeled
Aggregate
ModeledStagin
g
Metadata
Security
Knox Ranger Kerberos
Provision, Monitor,
Manage
Ambari
Zoo
Keeper
Schedul
e
Oozie
Deployment ChoiceLinux Windows On-Premises Cloud
Hue
NO SQL- Slider
HIVE - TEZ
Phoenix
HBase
Solr (Search)
Landin
g
SOURCES
Geolocation
IT Systems
Sensor & Machine
Server Logs
Web & Social
Clickstream
Unstructured
Apache
Geode

12. The new digital divide
• The new digital divide: the gap between consumer’s digital
behaviors and expectaFons – in contrast to the readiness and
ability of retailers to deliver on the desired experiences.
– Percentage of shoppers 100% connected – growing quickly
– ExpectaFons – evolving rapidly
– “Showrooming” – e.g. fear that digital drives consumers online (it’s a myth)
– Micro-characterisFcs – geographic, demographic, ethnic, social, age, gender
– Ability of retailers to harness technology that –
• Permits applicaFons to be built quickly, dismantled quickly
• Delivers consumer behavior-influencing acFons in real Fme
• Drills down to individual consumers
• Integrates data – from inside and outside the enterprise

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….and how could we do this?
Unleash Data and Insights
as-a-service
Make Insight-driven
Value a Crucial
Business KPI
Empower your People
with Insights at the
Point of Action
Develop an Enterprise Data
Science Culture
Master Governance,
Security and Privacy of your
Data Assets
Enable your Data
Landscape for the Flood
coming from Connected
People and Things
Embark on the Journey
to Insights within your
Business and
Technology Context
1 2 3
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14. Join the Apache Geode Community!
• Check out: http://geode.incubator.apache.org
• Subscribe: user-subscribe@geode.incubator.apache.org
• Download: http://geode.incubator.apache.org/releases/