The document discusses how retailers can use Microsoft Azure and Azure IoT technologies like IoT Edge, IoT Central, machine learning, and Dynamics 365 to transform their business through connecting devices, analyzing data, gaining insights, and delivering personalized customer experiences across channels from edge to cloud. It provides an overview of the Azure IoT reference architecture and key Azure IoT technologies and services that retailers can leverage, and suggests next steps for developers and decision makers to explore these solutions.
2. AGENDA
• New Retail and Connected Consumer Journey
• A New Ecosystem and Transformation Success Factors
• Azure IoT Essentials to Realize Your Retail Initiatives
• Azure IoT Reference Architecture
• Azure IoT Edge
• Azure IoT Central
• Azure Machine Learning
• Azure Dynamic 365
• Next Steps
3. The scale and pace of change2007 $100,000
2013 $200
2007 $40,000
2014 $100
2007 $550,000
2014 $20,000
2000 $2.7bn
2007 $10m
2014 $1,000
1984 $30
2014 $0.16
2009 $30,000
2014 $80
2007 $499
2015 $10
DNA
Solar
Smartphones
Drones
3D Printing
Industrial
Robots
Sensor (3D)
An astonishing pace of change is accelerating transformation.
Technology is more affordable and accessible than ever before.
2
2
3
3
4
4
5
6
6
8
20
0 2 4 6 8 10 12 14 16 18 20 22
Xiaomi
Snapchat
Airbnb
CloudFlare
Uber
Average Unicorns
Tesla
Cloudera
Facebook
Google
Typical Fortune 500
years
Time to reach $1B valuation or more
Source: World Economic Forum
5. Predict what customers want before they tell you
using predictive analytics solutions to create relevant cross-sell
and upsell opportunities throughout the customer journey
Create a connected consumer journey
Deliver engaging in-store
experiences
Enable information-rich experiences in
store with bots, personalized kiosks,
mobile apps.
Connect with customers at the right
time, right place with the right offers
Gather data from various points of customer
contact to understand customer behaviors and
respond with relevant offers.
Give sales associates the customer data to
deliver a personalized in-store experience. Help
customers with mobile POS, assisted selling,
clientelling, and bot applications on mobile
devices.
6. A new ecosystem to drive business intelligence,
innovative marketing and sale
7. It Takes Digital Transformation to Capture New
Demand and Ecosystem
ENGAGE YOUR
CUSTOMERS
to provide relevant
service that
increases loyalty
EMPOWER YOUR
EMPLOYEES
to deliver
differentiated service
and maximize
growth
OPTIMIZE YOUR
OPERATIONS
to build an agile,
insight-driven
organization
TRANSFORM
YOUR PRODUCTS
and create new ways
to deliver value
8. AGENDA
• New Retail and Connected Customer Journey
• A New Ecosystem and Transformation Success Factors
• Azure IoT Essentials to Realize Your Retail Initiatives
• Azure IoT Reference Architecture
• Azure IoT Edge
• Azure IoT Central
• Azure Machine Learning
• Azure Dynamic 365
• Next Steps
9. Resource
constrained
devices
Existing IoT
devices
IoT SDK
Solution UX
Application Business Logic
Stream Processing and Analytics
Business
Integration
Connectors
and
Gateway(s)
Edge Gateway
Cloud
Gateway
Data Path
Optional solution component
IoT solution component
IoT SDK
Presentation & Business ConnectivityData Processing, Analytics and ManagementDevice Connectivity
Personal
mobile
devices
IP capable
devices
IoT SDK
Business
systems
Device Provisioning and Management
Azure IoT Reference Architecture
10. Devices Example: Azure IoT Suite Remote Monitoring
Back end
systems and
processes
Event Hub
Storage blobs CosmosDB
Web/
Mobile App
Stream
Analytics
Logic AppsIoT Hub Web Jobs
C# simulator
Remote Monitoring | Predictive Maintence | Connected Factory
15. IoT on the Edge
Symmetry
IoT in the Cloud
Remote monitoring and management
Merging remote data from multiple IoT devices
Infinite compute and storage to train machine learning and
other advanced AI tools
16. Deploy workloads
as containers via
IoT Edge runtime
Manage devices
and containers
centrally in the
cloud
Secure solution
from chipset to
cloud
Use existing AI,
cloud analytics
or create your
own code
17. Concepts – Cloud off-load
Modular architecture for cloud
offload
Azure services provide AI
modules provide true edge
analytics
Ecosystem for 3rd party edge
services Azure IoT Edge Runtime
Azure IoT Edge device
Scenario: Find insights locally from telemetry data and only
send insights to the cloud.
Ingest
Module
Format
Module
ML
Insights
Telemetry
18.
Public Preview
Released
Nov ‘17
Azure IoT Edge
Extend cloud services (such as
Stream Analytics and Machine
Learning) to IoT devices
Deploy workloads to the edge
via Docker-compatible
containers
Manage devices and edge
services centrally through Azure
IoT Hub
Enable real-time decision
making
Operate reliably in intermittent
cloud connectivity
Reduce bandwidth and costs by
pre-processing data locally
https://azure.microsoft.com/campai
gns/iot-edge/
• Edge Runtime
• Modules
• Cloud off-load
• Cloud configurability
and monitoring
19. New skill sets
Time-consuming setup and
integration not for everyone
Higher up-front investment
Building an IoT Solution Can be A Challenge
29. Microsoft IoT Central
Comprehensive
portfolio
Only hyperscale cloud
vendor to offer SaaS,
PaaS, and hybrid
options for IoT, and a
commitment to
continual innovation
Extensive partner
ecosystem
Industry leaders ready
to collaborate with
your business
Industry-leading
security and privacy
From endpoint and
connection through
to data and the cloud
Large-scale SaaS
experience
Experience of
running and
managing powerful,
user-friendly, scalable
solutions used by
millions of users
worldwide
Open
platform
Any device, OS, data
source, software, or
service
31. Delight your customers with
personalized experiences
Empower your workforce to
provide differentiated
customer experiences
Transform your products
and services
Optimize your supply
chain with intelligent
operations
Shoe style XYZ
In-stock at Modern Store!
BUY NOW SHOP
SIMILAR
CHAT
Digital assistant
Product expert alert
It looks like Jane
might need help
CUSTOMER
HISTORY
Women’s Clothing
Intelligent Customer Service
Shoe style XYZ
In-stock at Modern Store!
BUY NOW SHOP
SIMILAR
CHAT
Digital assistant
Shoe style XYZ
In-stock at Modern Store!
BUY NOW SHOP
SIMILAR
CHAT
Digital assistant
Product expert alert
It looks like Jane
might need help
CUSTOMER
HISTORY
Women’s Clothing
Intelligent Customer Service
Proposed production
based on forecasted trends
High-performing
attributes
Blue
Leather
Cross-
body
Recommendation: More blue,
leather, and cross-body styles
Demand forecasting
1 2 3 4 5 6 7
Green clutc
Floral hand
Leather cro
Cross-body
Demand forecasting
Blue
Leather
Cross-
body
Recommendation: More blue,
leather, and cross-body styles
32. Data Modeling & APIs Clients
Traditional
data
Web data
Big data
API
ML STUDIODATA
Predict Customer Needs with Powerful Tools
Demand forecasting
Predictive maintenance
Vehicle telemetry
Azure Machine
Learning templates
Azure Machine
Learning services
33. Knowledge
Knowledge
Exploration Service
Top publications
in AI...
Listening…
Search
Bing Search
Fraud prevention
results…
Listening…
Language
Natural Language
Processing
Play today’s
conference call…
Listening…
Add a Natural, Human Touch with Cognitive Services
Speech
Speech-to-text and
text-to-speech service
Convert this text to
speech please…
Listening…
Object
recognition…
Vision
Computer Vision
Listening…
34. Agent Applications Services Infrastructure
Microsoft AI Portfolio
Cortana Office 365
Dynamics 365
SwiftKey
Pix
Customer Service
and Support
Skype
Calendar.help
Cortana Intelligence
Cognitive Services
Bot Framework
Cortana Devices SDK
Cognitive Toolkit
Azure Machine
Learning
Azure N Series
FPGA
People
38. Microsoft IoT Central
IoT SaaS
Microsoft Connected Field Service
Field Service SaaS
Azure IoT Suite
Remote Monitoring Predictive Maintenance Connected Factory
Device Support Edge Support IoT Services Data & Analytics Services Visualization & Integration Services
Azure IoT
Device
SDKCertified Devices
Azure Certified
for IoT
Security Program
For Azure IoT
Windows 10
IoT Core
Azure IoT Edge Azure IoT Hub
Azure IoT Hub
Device Provisioning
Service
Azure Stream
Analytics
Azure Time
Series Insights
Azure
Machine Learning
Cosmo DB
Azure HD Insights,
Spark, Storm
Kafka
Azure Event Hub
Azure Data Lake
Analytics
Azure Data Lake
Microsoft Flow
Azure Logic
Apps
Notification
Hub
Azure
Websites
Microsoft
Power BI
Azure Active
Directory
Azure
Monitor
39.
40. Partnership is Our Proud Differentiation
ML POC Platform Migration Repeatable Sale
Pilot Implementation Migration & Expansion Re-sell/Co-sell
Stage
Engagement
Phases
Time
Partner
Topline
Projection
Milestone A
PaaS/IaaS
Migration
Milestone B
SEA
Expansion
Machine
Learning
PaaS/IaaS
Migration
Next Gen Device
& IoT Hub
.Data migration onto SQL Azure (extract, cleanse, load)
.ML additional features
.Converge core operation platform on Azure
.Continuous updates to ML and BI embedded to support usage
.Historical data ETL
.Data Scientist
.Partner DevOps
.Partner feature
implementation
.Prelim assessment
.Partner leadership buy-in
.3G operator rate plan
. ARM and x86 cores
. Gaps in device mgmt. &
provisioning
. Server and service migration
.Traffic manager
. Azure SQL – Link to ML modules
. Process for update, dev and production update roll-out
. Next gen Win10IoT in various platforms
. IoT Hub/Event Bus and front end device management trials
(Corp product schedule dependent)
. Local certification assistance
. Multi-tenant operation platform
. Multi-factor authentication
Illustration Purpose Only
41. Next steps
Developer
Build your Edge to connect IoT Hub
Attach your device onto IoT Central
Decision maker
Understand Azure IoT, AI and Dynamic
365 roles in transformation
Work with Microsoft for a jumpstart
Azure IoT Edge – http://aka.ms/iot-edge
Azure Toolkit for Azure IoT Edge Here
Azure IoT Central - http://aka.ms/iot-central
Learn more about our vision for digital
transformation at microsoft.com/retail