Let us show you what powers an end-to-end Retail analytics solution built with Azure IoT.
The whole end-to-end solution is available for you to try out on GitHub: https://aka.ms/iotshow/retail
From detecting that a shelf is empty using IoT Edge, to fulfilling a customer’s order, managing stocks, and getting AI-based recommendation for reordering items, the solution is taking advantage of IoT Central, Power apps, Logic Apps, Azure Machine Learning and more.
3:02 Retail analytics scenario
5:45 Environemnt deployment
8:08 IoT Central and resources walkthrough
10:34 Scenario walk through and behind the scenes mecanisms description
24:40 Solution deployment cost
26:39 wrap up and resources