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articles/iot-central/retail/tutorial-in-store-analytics-create-app.md

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# Tutorial: Create and deploy an in-store analytics application template
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For many retailers, environmental conditions are a key way to differentiate their stores from those of their competitors. The best retailers make every effort to maintain pleasant conditions within their stores for the comfort of their customers.
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For many retailers, environmental conditions are a key way to differentiate their stores from their competitors' stores. The most successful retailers make every effort to maintain pleasant conditions within their stores for the comfort of their customers.
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To build an end-to-end solution, you can use the IoT Central _in-store analytics checkout_ application template. This template lets you digitally connect to and monitor a retail store's environment through a variety of sensor devices. These devices generate telemetry that retailers can convert into business insights to help reduce operating costs and create a great experience for their customers.
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To build an end-to-end solution, you can use the IoT Central _in-store analytics checkout_ application template. This template lets you digitally connect to and monitor a store's environment through various sensor devices. These devices generate telemetry that retailers can convert into business insights to help reduce operating costs and create a great experience for their customers.
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The application template comes with a set of device templates and uses a set of simulated devices to populate the dashboard:
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:::image type="content" source="media/tutorial-in-store-analytics-create-app/store-analytics-architecture-frame.png" alt-text="Diagram of the in-store analytics application architecture." border="false":::
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As shown in the preceding application architecture diagram, you can use the application template to:
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* **1**. Connect a variety of IoT sensors to an IoT Central application instance.
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* **1**. Connect various IoT sensors to an IoT Central application instance.
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An IoT solution starts with a set of sensors that capture meaningful signals from within a retail store environment. The sensors are represented by the various icons at the far left of the architecture diagram.
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* **4**. Transform the environmental conditions within the stores into insights that the store team can use to improve the customer experience.
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The Azure IoT Central application within a solution can be configured to export raw or aggregated insights to a set of Azure platform as a service (PaaS) services that can perform data manipulation and enrich these insights before landing them in a business application.
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You can configure an Azure IoT Central application within a solution to export raw or aggregated insights to a set of Azure platform as a service (PaaS) services. PAAS services can perform data manipulation and enrich these insights before landing them in a business application.
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* **5**. Export the aggregated insights into existing or new business applications to provide useful and timely information to retail staff.
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1. For **Device template**, select the RuuviTag device template.
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The rule you define will apply to all sensors, based on that template. Optionally, you could create a filter that would apply the rule to only a defined subset of the sensors.
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The rule that you define applies to all sensors, based on that template. Optionally, you could create a filter that would apply the rule to only a defined subset of the sensors.
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1. For **Telemetry**, select **RelativeHumidity**. It's the device capability that you customized in an earlier step.
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articles/iot-central/retail/tutorial-in-store-analytics-customize-dashboard.md

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In this tutorial, you'll learn how to:
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> [!div class="checklist"]
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> * Customize image tiles on the dashboard
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> * Arrange tiles to modify the layout
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> * Add telemetry tiles to display conditions
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1. Select **Image**. A window opens where you can upload a custom image or, optionally, specify a URL for the image.
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1. Select **Update**
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1. Select **Update**.
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:::image type="content" source="media/tutorial-in-store-analytics-customize-dashboard/brand-image-save.png" alt-text="Screenshot that shows the in-store analytics application dashboard brand image tile." lightbox="media/tutorial-in-store-analytics-customize-dashboard/brand-image-save.png":::
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Azure IoT Central simplifies the application builder task of creating a dashboard. By using the dashboard edit mode, you can quickly add, move, resize, and delete tiles.
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The **In-store analytics - checkout* application template also simplifies the task of creating a dashboard. The template provides a working dashboard layout, with sensors connected, and tiles that display checkout line counts and environmental conditions.
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The *In-store analytics - checkout* application template also simplifies the task of creating a dashboard. The template provides a working dashboard layout, with sensors connected, and tiles that display checkout line counts and environmental conditions.
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In this section, you rearrange the dashboard tiles in the *In-store analytics - checkout* application template to create a custom layout.
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1. Select a **Device instance** of one of the two RuuviTag sensors. In the Contoso store example, select **Zone 1 Ruuvi** to create a telemetry tile for Zone 1.
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1. In the **Telemetry** list, select **Relative humidity** and **Temperature**. These are the telemetry items that are displayed for each zone on the tile.
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1. In the **Telemetry** list, select **Relative humidity** and **Temperature**, the telemetry items that are displayed for each zone on the tile.
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1. Select **Add tile**. This new tile displays combined humidity and temperature telemetry for the selected sensor.
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articles/iot-central/retail/tutorial-iot-central-smart-inventory-management.md

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Inventory is the stock of goods that a retail business holds. As a retailer, you must balance the costs of storing too much inventory against the costs of having insufficient inventory to meet customer demand. It's critical that you deploy smart inventory-management practices to ensure that the right products are in stock and in the right place at the right time.
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In this tutorial, you'll learn how to:
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> [!div class="checklist"]
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> * Create a smart inventory-management application
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> * Walk through the application
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IoT data that's generated from radio-frequency identification (RFID) tags, beacons, and cameras provides opportunities to improve inventory-management processes. You can combine telemetry that you've gathered from IoT sensors and devices with other data sources, such as weather and traffic information in cloud-based business intelligence systems.
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The benefits of smart inventory management include:
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The preceding architecture diagram illustrates the smart inventory-management application workflow:
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* (**1**) RFID tags
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RFID tags transmit data about an item through radio waves. RFID tags ordinarily don't have a battery, unless specified. Tags receive energy from radio waves that are generated by the reader and then transmit a signal back to the RFID reader.
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RFID tags transmit data about an item through radio waves. RFID tags ordinarily don't have a battery, unless specified. Tags receive energy from radio waves that are generated by the reader and then transmit a signal back to the RFID reader.
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* (**1**) BLE tags
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An energy beacon broadcasts packets of data at regular intervals. Beacon data is detected by BLE readers or installed services on smartphones and then transmitted to the cloud.
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An energy beacon broadcasts packets of data at regular intervals. Beacon data is detected by BLE readers or installed services on smartphones and then transmitted to the cloud.
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* (**1**) RFID and BLE readers
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An RFID reader converts the radio waves to a more usable form of data. Information that's collected from the tags is then stored on a local edge server or sent to the cloud via JSON-RPC 2.0 over Message Queuing Telemetry Transport (MQTT).
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BLE readers, also known as Access Points (AP), are similar to RFID readers. They're used to detect nearby Bluetooth signals and relay them to a local Azure IoT Edge instance or the cloud via JSON-RPC 2.0 over MQTT.
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Many readers can read RFID and beacon signals and provide additional sensor capability that's related to temperature and humidity, via accelerometer and gyroscope.
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An RFID reader converts the radio waves to a more usable form of data. Information that's collected from the tags is then stored on a local edge server or sent to the cloud via JSON-RPC 2.0 over Message Queuing Telemetry Transport (MQTT).
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BLE readers, also known as Access Points (AP), are similar to RFID readers. They're used to detect nearby Bluetooth signals and relay them to a local Azure IoT Edge instance or the cloud via JSON-RPC 2.0 over MQTT.
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Azure IoT Edge server provides a place to preprocess the data locally before sending it on to the cloud. We can also deploy cloud workloads artificial intelligence, Azure and third-party services, and business logic by using standard containers.
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Many readers can read RFID and beacon signals and provide additional sensor capability that's related to temperature and humidity, via accelerometer and gyroscope.
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* (**2**) Azure IoT Edge gateway
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Azure IoT Central is a solution-development platform that simplifies IoT device connectivity, configuration, and management. The platform significantly reduces the burden and costs of IoT device management, operations, and related developments. Customers and partners can build an end-to-end enterprise solution to achieve a digital feedback loop in inventory management.
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Azure IoT Edge server provides a place to preprocess the data locally before sending it on to the cloud. We can also deploy cloud workloads artificial intelligence, Azure and third-party services, and business logic by using standard containers.
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* Device management with IoT Central
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The IoT Central platform provides rich extensibility options through Continuous Data Export (CDE) and APIs. Business insights that are based on telemetry data processing or raw telemetry are typically exported to a preferred line-of-business application.
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You can use a webhook, service bus, event hub, or blob storage to build, train, and deploy machine learning models and further enrich insights.
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Azure IoT Central is a solution-development platform that simplifies IoT device connectivity, configuration, and management. The platform significantly reduces the burden and costs of IoT device management, operations, and related developments. Customers and partners can build an end-to-end enterprise solution to achieve a digital feedback loop in inventory management.
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