US US20260225793A1
[0000] A method can include receiving, from a first sensor, an ambient temperature indicative of an amount of external heat to which a first storage container is exposed. The method can also include determining, with a first machine learning model, a first set of pre-cooling parameters for the first storage container based in part on factors comprising the ambient temperature indicative of an amount of external heat to which a first storage container is exposed, time of day, and a scheduled loading time for the first storage container. The method can further include transmitting a first request to a first pre-cooling system to initiate a cooling process for the first storage container in accordance with the first set of pre-cooling parameters. The method can also include predicting maintenance of the first storage container using a second machine learning model. Other embodiments are described.
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