Abstract: A method includes determining, based at least in part on historical order data and a machine learning engine, lead times for machines and determining, based at least in part on historical shipping data and the machine learning engine, estimated delivery times to deliver the machines from an origin to a destination. The method also includes generating a predicted arrival function based at least in part on the estimated lead times and the estimated delivery times, receiving, via a network, an order identifier associated with an order made by the purchaser, the order number identifying an ordered machine, the origin of a seller, and the destination of a purchaser, determining, using the predicted arrival function, estimated delivery information, the estimated delivery information indicating a date at which the ordered machine is expected to arrive at the destination of the purchaser, and providing, via the network, the estimated delivery information to an electronic device associated with the purchaser.