Let’s face it – the consumer is in control. Retailers, this means – you need to be constantly prepared to listen, speak relevantly and act personally. To meet modern demands and expanding selling channels, retailers need to deploy seamless product information with endless aisle, empowered associates turned sales agents – whenever, to whatever medium they want, however the customer wants. Knowing today’s realities, most databases systems are rigid and difficult to change, making it a challenge to provide personalized information to customers, wherever they want - right now. MongoDB is an agile, game-changing technology that provides a real-time view of business with based upon consumer requirements. In this webinar you will learn how leading global retailers create unique business value using MongoDB such as: 1. Real-time view of product information 2. Relevant view of the customer from whichever channel they engage 3. Smart mobile applications that understands the customer's most recent activities Once in place, retailers continue to leverage the data views to extend their business information across other business areas. Learn about retailers embracing this approach to meet today’s business needs with MongoDB. As part of a mini-series, led by Rebecca Bucnis, global business architect @MongoDB, we will share how you can get started on your way to Omni-Channel retailing, one step at a time.

1. Enabling Omni-Channel Retailing:
One Step at a Time
#mongodbretail
Global Business Architect, MongoDB
Director, Solution Architecture, MongoDB
Edouard Servan-Schreiber
Rebecca Bucnis

2. “it is not the strongest that survives, nor
the most intelligent that survives;
it is the one that is most adaptable to
change…”
- Charles Darwin

3. Presenters
Rebecca Bucnis
Global Business Architect
- Business Strategy
- Former Retailer
Amsterdam, The Netherlands
rebecca.bucnis@mongodb.com
@rebeccabucnis
Edouard Servan-Schreiber
Director, Solution Architecture
- Delivery of Solutions, Pre-Sales
- North America
New York, NY
edouard@mongodb.com
@edouardss
@rebeccabucnis @edouardss

4. • Introduction
• 5 Guiding Principles for Omni-Channel Retailing
• Customer Examples
• Why Use MongoDB for Omni-Channel?
• Technical Deep-Dive – Product Information
• Wrap Up & Next Webinar
Agenda

5. Introduction

6. Source: IDC, World wide Retail Industry 2013 Dec 2013
Shoppers are Instrumented with mobile devices, Informed with
access to the Internet, Interconnected in social communities,
In-place always in stores or wherever else the shoppers might be
and Immediate in their ability to take action.
Consumer in Control of Retail

7. Introduction
Technology/
Infrastructure
The Store
Brand
(the
experience)
People/
Processes
Retail Business is evolving across many dimensions

8. 1. Single View of Customer = Consumer 360°
Theme: Understand complete view of customer
Challenge: Device proliferation, legacy silo systems
5 Guiding Principles for Omni-Channel

9. 2. Single View of Product ≅ “Endless Aisle”
Theme: Product details & location up-to-minute
Challenge: Multiple vendors & legacy silo systems
5 Guiding Principles for Omni-Channel

10. 3. Time, Space & Geo-Aware Selling = Mobility
Digital Consumer Empowering Employees
Theme: Relevance and convenience
Challenge: Information availability & expectations
5 Guiding Principles for Omni-Channel

11. 4. Personalization:
Real-time Content with relevant messaging
Theme: Every customer is unique
Challenges: Heavy, varied content, insufficient
access to analytic information silos
5 Guiding Principles for Omni-Channel

12. 5. Social Selling Experience = Entertainment and
Believability
Theme: “The Brand is a Platform (not a store)”
Challenge: Capture & Share appropriate details
5 Guiding Principles for Omni-Channel

13. •Retail Insurance
•150 years of history
and policy data, 70+
source systems
•Unable to consolidate
view of customer over
multiple years
•Created “The Wall” for
360 view of customer
Customer Examples

14. •www.otto.de
•Largest web property
for female and child
clothing in Europe
•Crate N Barrel in the
USA
•Dynamic Product
Views
•Dynamic web pages
Customer Examples

15. •A social platform
•Provides social and
geographic context to
people
•Entertaining them and
rewarding them for
business
•Manage check-ins and
capture & distribute
content with MongoDB
Customer Examples

16. Then
Product Customer Focus
Inventory Endless Aisle
Drive to Store Mobility
Weekly Ads Personalization
Vendor Focus Social
Now

17. MongoDB Strategic Advantages
Horizontally Scalable
-Sharding
Agile
Flexible
High Performance &
Strong Consistency
Application
Highly
Available
-Replica Sets
{ customer: “roger”,
date: new Date(),
comment: “Spirited Away”,
tags: [“Tezuka”, “Manga”]}

18. Documents let you build your data to fit
your application
Relational MongoDB
{ customer_id : 1,
name : "Mark Smith",
city : "San Francisco",
orders: [ {
order_number : 13,
store_id : 10,
date: “2014-01-03”,
products: [
{SKU: 24578234,
Qty: 3,
Unit_price: 350},
{SKU: 98762345,
Qty: 1,
Unit_Price: 110}
]
},
{ <...> }
]
}
CustomerID First Name Last Name City
0 John Doe New York
1 Mark Smith San Francisco
2 Jay Black Newark
3 Meagan White London
4 Edward Danields Boston
Order Number Store ID Product Customer ID
10 100 Tablet 0
11 101 Smartphone 0
12 101 Dishwasher 0
13 200 Sofa 1
14 200 Coffee table 1
15 201 Suit 2

19. Notions
RDBMS MongoDB
Database Database
Table Collection
Row Document
Column Field

20. { store_id: 342 ,
SKU: 4839475638 ,
prod_description: <...> ,
location: [ <longitude> , <latitude> ] ,
Attributes: {
color: ... ,
size: ... ,
...
} ,
Stock_level: 10,
Stock_available: 7,
Last_stock_udpate: ‘2014-03-02:13:02:36’
reorder_level: 5
}
“Single View of Product” Schema

21. { store_id: 342 ,
SKU: 4839475638 ,
prod_description: <...> ,
location: [ <longitude> , <latitude> ] ,
Attributes: {
color: ... ,
size: ... ,
...
} ,
Stock_level: 10,
Stock_available: 7,
Last_stock_udpate: ‘2014-03-02:13:02:36’
reorder_level: 5
}
“Single View of Product” Schema
Key for the document

22. { store_id: 342 ,
SKU: 4839475638 ,
prod_description: <...> ,
location: [ <longitude> , <latitude> ] ,
Attributes: {
color: ... ,
size: ... ,
...
} ,
Stock_level: 10,
Stock_available: 7,
Last_stock_udpate: ‘2014-03-02:13:02:36’
reorder_level: 5
}
“Single View of Product” Schema
Key for the document
Allows geospatial
searches for
nearby availability

23. { store_id: 342 ,
SKU: 4839475638 ,
prod_description: <...> ,
location: [ <longitude> , <latitude> ] ,
Attributes: {
color: ... ,
size: ... ,
...
} ,
Stock_level: 10,
Stock_available: 7,
Last_stock_udpate: ‘2014-03-02:13:02:36’
reorder_level: 5
}
“Single View of Product” Schema
Key for the document
Allows geospatial
searches for
nearby availability
Custom Attributes
For this SKU

24. { store_id: 342 ,
SKU: 4839475638 ,
prod_description: <...> ,
location: [ <longitude> , <latitude> ] ,
Attributes: {
color: ... ,
size: ... ,
...
} ,
Stock_level: 10,
Stock_available: 7,
Last_stock_udpate: ‘2014-03-02:13:02:36’
reorder_level: 5
}
“Single View of Product” Schema
Key for the document
Allows geospatial
searches for
nearby availability
Custom Attributes
For this SKU
Easy to modify
values to maintain
operational view of
inventory

25. West DC
Primary
Primary
Primary
Shard
“West”
Shard
“Center”
Shard
“East”
Center DC East DC
Single View of Product Cluster Topology

26. West DC
Primary
Primary
Primary
Shard
“West”
Shard
“Center”
Shard
“East”
Center DC East DCPrimary node replicates data
to all secondaries in the shard
as fast as possible
Single View of Product Cluster Topology

27. West DC
Primary
Primary
Primary
Shard
“West”
Shard
“Center”
Shard
“East”
Center DC East DC
Center Shard contains
all the data for stores
in Center region
Single View of Product Cluster Topology

28. West DC
Primary
Primary
Primary
Shard
“West”
Shard
“Center”
Shard
“East”
Center DC East DC
Center Shard contains
all the data for stores
in Center region
Local writes enable
very high throughput
of updates
Single View of Product Cluster Topology

29. West DC
Primary
Primary
Primary
Shard
“West”
Shard
“Center”
Shard
“East”
Center DC East DC
Each region is able to
see the data of all
stores from its “local”
DC.
Single View of Product Cluster Topology

30. West DC
Primary
Primary
Primary
Shard
“West”
Shard
“Center”
Shard
“East”
Center DC East DC
Two nodes in each DC
for painless maintenance
with zero downtime
Single View of Product Cluster Topology

31. West DC
Primary
Primary
Primary
Shard
“West”
Shard
“Center”
Shard
“East”
Center DC East DC
Even if a DC goes out, the
database remains fully available
thanks to automated failover
Single View of Product Cluster Topology

32. West DC
Primary
Primary
Primary
Shard
“West”
Shard
“Center”
Shard
“East”
Center DC East DC
Data set can grow, shards can
add up, without any rewrite of the
application code
Single View of Product Cluster Topology

33. •Supply chain service
for online retailers
•Automates supply for
retailers, powered by
MongoDB
•Manages the
complexity of multiple
data types and various
systems
•Enables complex
matching and joins
Customer Examples

34. • the digital classified
ads in over 50
countries
•posting and
accessing, in real-
time, the ads as
called by potential
buyers
•Manage heavy
content with
MongoDB
Customer Examples

35. Omni-Channel Services
Omni-Channel Workshop: Delivering
Consistency in your business
• Educational service session to focus
in on “seamless” information
Assessment & Prioritization Services
• An investigative engagement to
assess your data availability & needs
Roadmap Services
• Engagement to deliver a joint
roadmap for technology enabled
Omni-Channel capabilities

36. In the demand for seamless Retailing, where waiting one
minute means losing revenue and customers (to the next
best e-competitor),
MongoDB enables game-changing technology that offers:
1. Provides a contextual data layer, enabling a broad view
of your business
2. Rapid time to market – particularly channel blending
3. Flexibility to meet the demands of consumers and
business today…as well as tomorrow
Enabling the agile delivery of seamless retailing
MongoDB Retail Value Prop

37. Questions?

38. Resources
White Paper: Big Data: Examples and
Guidelines for the Enterprise Decision Maker
http://www.mongodb.com/lp/w
hitepaper/big-data-nosql
Recorded Webinar Series: Thrive with Big
Data
http://www.mongodb.com/lp/bi
g-data-series
Recorded Webinar: What’s New with
MongoDB Hadoop Integration
http://www.mongodb.com/pres
entations/webinar-whats-new-
mongodb-hadoop-integration
Documentation: MongoDB Connector for
Hadoop
http://docs.mongodb.org/ecosy
stem/tools/hadoop/
White Paper: Bringing Online Big Data to BI
& Analytics
http://info.mongodb.com/rs/mo
ngodb/images/MongoDB_BI_An
alytics.pdf
Subscriptions, support, consulting, training
https://www.mongodb.com/pro
ducts/how-to-buy
Resource Location

39. Join us again!
Webinar #2:
“Delivering A Complete View of Customer”
When:
Wednesday, April 16
Link:
www.mongodb.com/webinar

40. Thank You!
@rebeccabucnis @edouardss