A method for noninvasive monitoring of containerized assets across multiple industries includes positioning a sensor externally to a container without penetrating a wall of the container, acquiring sensor data from the sensor, loading, onto an edge computing module, a machine learning model selected from a plurality of industry-specific machine learning models based on a target industry associated with the container, processing the sensor data using the loaded machine learning model to generate a prediction regarding the contents of the container, and transmitting the prediction to a remote computing system. The sensor data is indicative of a property of contents within the container.