tado°, a German company that offers smart home automation solutions, has developed an innovative product that uses InfluxDB to collect and analyze data from their thermostats, enabling them to provide efficient energy consumption and a comfortable living environment for their customers. The system collects household temperature thresholds, geo-location data, and temperature readings from the thermostats, which are then used to adjust the temperature according to the user's location and preferences. To support this interaction, tado° uses InfluxDB queries to retrieve the necessary data, including continuous temperature readings and discrete state changes (home/away). The company has optimized their queries to improve performance, reducing query latency from 10 requests per second to 200x faster, while also ensuring data retention of up to 12 months. The tado° case study showcases their journey from creating a MySQL prototype to building a production-ready solution using InfluxData, highlighting the benefits of using InfluxDB for real-time data analysis and efficient query performance.