webinar: realizing omni-channel retailing with mongodb - one step at a time

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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.

TRANSCRIPT

Enabling Omni-Channel Retailing: One Step at a Time

#mongodbretail

Global Business Architect, MongoDB

Director, Solution Architecture, MongoDBEdouard Servan-Schreiber

Rebecca Bucnis

“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

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

• 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

Introduction

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

Introduction

Technology/Infrastructure

The StoreBrand(the

experience)

People/ Processes

Retail Business is evolving across many dimensions

1. Single View of Customer = Consumer 360°

Theme: Understand complete view of customerChallenge: Device proliferation, legacy silo systems

5 Guiding Principles for Omni-Channel

2. Single View of Product ≅ “Endless Aisle”

Theme: Product details & location up-to-minuteChallenge: Multiple vendors & legacy silo systems

5 Guiding Principles for Omni-Channel

3. Time, Space & Geo-Aware Selling = Mobility Digital Consumer Empowering Employees

Theme: Relevance and convenienceChallenge: Information availability & expectations

5 Guiding Principles for Omni-Channel

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

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

•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

•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

•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

Then

Product Customer Focus

Inventory Endless Aisle

Drive to Store Mobility

Weekly Ads Personalization

Vendor Focus Social

Now

MongoDB Strategic Advantages

Horizontally Scalable-Sharding

AgileFlexible

High Performance &Strong Consistency

Application

HighlyAvailable-Replica Sets

{ customer: “roger”, date: new Date(), comment: “Spirited Away”, tags: [“Tezuka”, “Manga”]}

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 City0 John Doe New York1 Mark Smith San Francisco2 Jay Black Newark3 Meagan White London4 Edward Danields Boston

Order Number Store ID Product Customer ID10 100 Tablet 011 101 Smartphone 012 101 Dishwasher 013 200 Sofa 114 200 Coffee table 115 201 Suit 2

Notions

RDBMS MongoDB

Database Database

Table Collection

Row Document

Column Field

{ 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

{ 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

{ 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

{ 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 availabilityCustom Attributes

For this SKU

{ 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 availabilityCustom Attributes

For this SKU

Easy to modify values to maintain operational view of inventory

West DC

Primary

Primary

Primary

Shard“West”

Shard“Center”

Shard“East”

Center DC East DC

Single View of Product Cluster Topology

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

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

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

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

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

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

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

•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

• 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

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

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

Questions?

Resources

White Paper: Big Data: Examples and Guidelines for the Enterprise Decision Maker

http://www.mongodb.com/lp/whitepaper/big-data-nosql

Recorded Webinar Series: Thrive with Big Data

http://www.mongodb.com/lp/big-data-series

Recorded Webinar: What’s New with MongoDB Hadoop Integration

http://www.mongodb.com/presentations/webinar-whats-new-mongodb-hadoop-integration

Documentation: MongoDB Connector for Hadoop

http://docs.mongodb.org/ecosystem/tools/hadoop/

White Paper: Bringing Online Big Data to BI & Analytics

http://info.mongodb.com/rs/mongodb/images/MongoDB_BI_Analytics.pdf

Subscriptions, support, consulting, training

https://www.mongodb.com/products/how-to-buy

Resource Location

Join us again!

Webinar #2:“Delivering A Complete View of Customer”

When:Wednesday, April 16

Link:www.mongodb.com/webinar

Thank You!

@rebeccabucnis @edouardss

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