Abstract: In some examples, a computer system may receive an image and associated location information corresponding to a location at which the image was captured. The system may provide the image as input to a machine-learning model previously trained to determine whether the received image includes a threshold amount of information to indicate that received location information indicates a location corresponding to the received image. Based at least in part on an output of the machine-learning model indicating that the received image meets the threshold, the system may store the associated location information as mapping information associated with the location.

Abstract: A method includes receiving, by a computer, a destination address. The computer can obtain historical fulfillment data for the destination address. The computer can then determine one or more temporary transporter locations based on the historical fulfillment data for the destination address. The computer can determine a waypoint location from the one or more temporary transporter locations. The computer can provide the waypoint location.