Abstract: A device receives a data query from a source, the data query associated with a hardware component. The device determines a likelihood that an aircraft of an aircraft entity associated with the data query will require the hardware component by retrieving a plurality of signals received from the aircraft entity that are associated with the hardware component, applying the plurality of signals to a first machine-learned model, and receiving, as output from the first machine-learned model, a likelihood that the aircraft will require the hardware component. The device inputs the likelihood into a second machine-learned model, and receives as output a score corresponding to the data query. The device assigns a rank to the data query based on its score as compared to scores of other data queries of a plurality of data queries, and displays an ordered list of the plurality of data queries.

Abstract: A device receives a data query from a source, the data query associated with a hardware component. The device determines a likelihood that an aircraft of an aircraft entity associated with the data query will require the hardware component by retrieving a plurality of signals received from the aircraft entity that are associated with the hardware component, applying the plurality of signals to a first machine-learned model, and receiving, as output from the first machine-learned model, a likelihood that the aircraft will require the hardware component. The device inputs the likelihood into a second machine-learned model, and receives as output a score corresponding to the data query. The device assigns a rank to the data query based on its score as compared to scores of other data queries of a plurality of data queries, and displays an ordered list of the plurality of data queries.