How Cloud-Based Technology is Transforming the Retail Shopping Experience

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Speakers:

Raj Singh, IBM Cloudant Douglas Stewart, Quetzal Tim Llewellynn, nViso

How Cloud-Based Technology is

Transforming the Retail Shopping

Experience

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Housekeeping Notes

§ 

Today’s webinar is being recorded. We will send you a link to the recording and copy of the

slide deck after the presentation.

§ 

The webinar recording will be available on our website:

http://cloudant.com

§ 

If you would like to ask a question during today’s presentation, please type in your question

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What we’re going to cover today

Douglas Stewart, co-founder,

President and CEO, QuetzalPOS

Tim Llewellynn, CEO and

co-founder of Swiss Start-up

nViso

Raj Singh, Developer Advocate,

IBM Cloudant

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IBM Cloudant

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What Is NoSQL, Really?

§

Umbrella term for databases using non-SQL query languages

–

Key-Value stores

–

Wide column stores

–

Document stores

–

Graph stores

§

Some also say "non-relational," because data is not decomposed into

separate tables, rows, and columns

–

It’s still possible to represent relationships in NoSQL

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Where did NoSQL come from?

1970-2000: Mainly RDBMS solutions

2000-2005: DotCom bubble, new scale, NoSQL beginnings, white papers

2005-2010: Open source and Mainstream

2010+:

Adoption of cloud à

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NoSQL

Document

Stores

§

That's databases like MongoDB, Apache CouchDB™,

Cloudant, and MarkLogic

§

Optimized for "semi-structured" or "schema-optional" data

–

People say "unstructured," but that's inaccurate

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Schema Flexibility

9

§

Cloudant uses JavaScript Object Notation (JSON) as its data format

–

Cloudant is based on

Apache CouchDB

. In both systems, a "database" is simply

a collection of JSON documents

{ "docs": [ { "_id": "df8cecd9809662d08eb853989a5ca2f2", "_rev": "1-8522c9a1d9570566d96b7f7171623270", "Movie_runtime": 162, "Movie_rating": "PG-13", "Person_name": "Zoe Saldana", "Actor_actor_id": "0757855", "Movie_genre": "AVYS",

"Movie_name": "Avatar", "Actor_movie_id": "0499549", "Movie_earnings_rank": "1", "Person_pob": "New Jersey, USA", "Person_id": "0757855", "Movie_id": "0499549", "Movie_year": 2009, "Person_dob": "1978-06-19" } ] }

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Horizontal Scaling

§ 

Many commodity servers vs. few expensive ones

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Master-Master Replication

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Or "masterless replica architecture"

§

Replicate data widely to mitigate disasters

–

No single point of failure

§

Minimize latency by putting data close to users

–

Cloudant excels at data movement

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The Cloudant Data Layer

•

Distributed NoSQL data persistence

layer

•

Available as a fully-managed DBaaS,

or managed by you on-premises

•

Transactional JSON document

database with REST API

•

Spreads data across data centers &

devices for scale & high availability

•

Ideal for apps that require:

•

Massive, elastic scalability

•

High availability

•

Geo-location services

•

Full-text search

•

Offline-first design for occasionally

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Not One DB Server – a

Cluster

of Servers

§

A Cloudant cluster

–

Horizontal scale

–

Redundant load balancers

backed by multiple DB servers

§

Designed for durability

–

Saves multiple copies of data

–

Spreads copies across cluster

–

All replicas do reads & writes

§

Access Cloudant over the Web

–

Developers get an API

–

Cloudant manages it all

behind the scenes

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lb2 (failover)

lb1

db1

db2

db3

HAProxy NGINX Cloudant Dashboard

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Whither Cloudant?

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CDS

MISSION

§

To provide the

best experience for developers

to engage and build with a

comprehensive set

of rich, integrated data services

covering

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CDS Value Proposition

§

CDS offers developers a

new way to work

, where they can

GET, BUILD and ANALYZE

on the same platform

§

Delivering capabilities previously out of reach to all but the largest

companies

–

GET:

Big data catalog

§

Demographics, Twitter, Weather, business trends

§

Instantly available for integration

§

With business data – ETL is built-in

–

BUILD:

Data available through REST API w JSON (Cloudant)

–

ANALYZE:

Data available through NoSQL, SQL, R, or Spark

§

Customer focuses on apps and analysis. CDS does the

REST

.

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A modern global POS for small-scale shoe and clothing stores

!

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A modern global POS for small-scale shoe and clothing stores!

•

Beautiful, elegant iPad-based system.

•

Hardware bundle that is easy to configure, reliable and just works.

•

Motivates shoe and clothing retailers to make better decisions.

•

Focused feature set makes it the best tool for the job.

•

Modern big-data technology allows unique features and scale.

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•  Dedicated team with know-how and energy.

•  15 years of experience developing web-based retail POS

•  Massive end-user adoption shift.

•  Apple hardware-based and completely aligned with Apple growth strategy.

•  Scaleable and economical cloud infrastructure supported by Amazon and IBM-Cloudant.

•  Generational technology advancement.

•  Laser-focused on shoe and clothing retail feature set.

•  Lucrative revenue streams in established payment and software license space.

•  Distribution and Reseller channel-only go-to-market strategy.

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Big box technology for small box stores

Quetzal's mission is to bring back the downtown.

Quetzal empowers retailers to thrive in the modern economy.

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secondary indexes

validation filters/update filters

views, ACID properties, eventual consistency, map/reduce

Non-cloudant specific uses of Couch DB

Quetzal adopted CouchDB and

!

Cloudant in January of 2012 as the

!

foundation of this new-world

!

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Web admin tool (not futon): Cloudant Dashboard 2.0

Cloudant Users

API keys with permissions

Backups, Uptime, Performance

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IRC channel - great communication

Change notification system

Responsiveness and flexibility of the Cloudant team

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Welcome to the new world of retail technology.

!

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3D Facial Analytics

Insights for

Marketing

Turning Emotion

into Decision

Tim Llewellynn

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3D Facial Analytics

Consumer Choice is Unparalleled

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3D Facial Analytics

Shoppers are Not Rational

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“We are not thinking

machines that feel,

rather, we are

feeling machines

that think.”

Prof. Antonio Damasio,

University of South California

Feel

Think

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3D Facial Analytics

Bottom Line Emotion = Higher ROI

28

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3D Facial Analytics

Engaged Shoppers Spend More

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30 EUR

Happy

23 EUR

Not Happy

20.00 € 22.00 € 24.00 € 26.00 € 28.00 € 30.00 € 32.00 € 34.00 €

Average spend in retail stores of customers expressing Happiness and Unhappiness.

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3D Facial Analytics

31%

16%

0% 5% 10% 15% 20% 25% 30% 35%

% Repor&ng very large proﬁt gains from IPA 2009 UK ad study -‐ 1400 cases Emo&onal Ra&onal

Em

o&

on

al

Emotional Campaigns Outperform

2x

Ra&

on

al

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3D Facial Analytics

nViso 3D Facial Imaging Software

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§

Ar+ﬁcial intelligence

precisely detects facial muscles

§

Facial muscles movements

encoded based on FACS

§

Machine learning system

decodes facial behavior

SoRware maps 170

points in the

image directly to

facial muscles

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3D Facial Analytics

nViso® Face Analytics™ Emotions

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3D Facial Analytics

nViso® Face Analytics™ API

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V

id

eo

/

Ph

o

to

s

Behaviour

Attention

F

ac

e

A

n

al

yti

cs

A

PI

Emotion

Interest

Engagement

Ap

pl

ic

a+

on

§

Context dependent

§

Detects 7 emotional states

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3D Facial Analytics

New Cloud and Mobile Applications

34

EN

G

AG

E

U

N

D

ER

ST

AN

D

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3D Facial Analytics

Scalable Analytics with Cloudant

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3D Facial Analytics

Into Engaging Experiences + Analytics

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3D Facial Analytics

Predicting Next Best Action

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Emo+onal Triggers

What did she like?

Interest / Test Drive

Next Best Ac+on

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Case Studies

Case Study :

Banking Sector

BNZ – Bank in Asia Pacific

Online, Retail, and Out of Home Experience

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Case Studies

Interactive Financial Experience

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Case Studies

Personalized Emotion Results

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Case Studies

Out-of-Home Experience

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Case Studies

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Case Studies

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Case Studies

Future Goldmine

44

•

BeVer understand

consumers in scale

•

Build interac&ve

experiences

•

Real-‐&me personaliza&on

New Ways to BeRer Understand, Interact,

and personalize Experiences for Consumers

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Summary

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§ 

NoSQL document database is a great platform for innovation

§ 

Schema-less database

is a perfect fit for agile, iterative development

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