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articles/iot-central/retail/tutorial-iot-central-smart-inventory-management.md

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# Tutorial: Deploy a smart inventory-management application template
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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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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 to 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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