1. Parcel Tracking Solution Parcel Tracking What to look for Architecture
The IoT parcel tracking solution can help unlock new levels of business insight, operational process efficiency and ensure customer satisfaction
What to look for
Target this solution to logistics enterprises comprised geographically dispersed transport fleets and critical parcel pickup & delivery timelines
Architecture
Solution and reference architecture

2. IoT parcel tracking solution for logistics enterprises
The IoT parcel tracking solution can help unlock new levels of business insight, operational process efficiency and ensure customer satisfaction.
This solution is built on the following Azure managed services: Azure IoT Hub, Stream Analytics, Service Bus, Service Fabric, Azure Storage, Azure SQL, Data Factory, HDInsight, PowerBI. These services run in a high availability environment, patched and supported, allowing you to focus on your solution vs. the environment to run them in.

3. Target this solution to logistics enterprises comprised geographically dispersed transport fleets and critical parcel pickup & delivery timelines.
Process scan events from mobile and factory devices in near real- time.
Display of GPS positions of parcels on a map within a basic web based dashboard hosted in Azure
Handle tours with multiple parcels and provide the location of individual parcels as an API
The solution is based on Azure cloud services with a basic web-based front-end accessible through a browser.

4. Real-time distribution information
Customer tracking
Smart connected devices that deliver real time location information to be consumed by customers
Process improvement
Real-time detection of duplicate events that are key to internal improvements and quality of the delivery chain
Future proven platform
Creation of the platform and services that will be the foundation moving other mission critical services from on-premises to cloud

5. Solution Reference Architecture
Devices Depot - Infrastructure
Microsoft Azure
Devices; Customer - Front End; Management – Front End
Traffic Manager
App Service
Discovery Service
Stream Analytics
Archive Job
Stream Analytics
Live Trace
Power BI
Service/SRV
HTTP(s)
Steam Processing
Power BI
Dashboard
IoT Hub
Cloud Gateway
Service Fabric
Actors
Service Fabric
Reliable SRV
Depot Infrastructure
App Service
Push Host
Web Jobs
Service Bus Topic
Case Queue
Custom BL
AMQP
Machine Learning
Predictions
HDInsight
Big Data Analytics
Data Factory
Orchestration
Service Bus
Cloud Gateway
App Service
API Host
Mobile Devices
Mobile Devices
Big Data Functionality / Orchestration
Storage blob
SQL
Relational Store 10 01
Storage blob
Raw Store
Storage table
Display Cache
App Service
HTML UI
Browser (Customers)
Data Store

6. Reference Architecture
IoT Hub: manages the two-way communication between the cloud and devices
App Service: application hosting
Service Bus: infrastructure enabling applications to exchange messages
Stream Analytics: real-time analytics from incoming data ingestion
Service Fabric: distributed systems platform enabling microservices
HDInsight: distributed big-data processing and analysis
Machine Learning: computer analytics self learning
Data Factory: managed service for data storage and processing
Advanced Message Queuing Protocol: open standard application layer protocol defining message orientation, queuing, routing, reliability and security
Storage Blob: unstructured data storage
Azure SQL: relational data storage
Data Table: storage of large amounts of schemaless data
PowerBI: data visualization and reporting

7. Pricing Calculator
To calculate an estimated price for this reference architecture go to the Microsoft Azure Pricing Calculator