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

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.

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.

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

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

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

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