CPC G06Q 10/0838 (2013.01) [G06N 20/00 (2019.01); G06Q 10/04 (2013.01); G06Q 10/067 (2013.01); G06Q 10/0833 (2013.01)] | 13 Claims |
1. A method of producing pre-trip inspection predictions for containers, the method comprising:
retrieving, by one or more processors, at least one first historical data point related to a completed shipment for a first container;
receiving, by the one or more processors, a first active data point from the first container during active shipment of the first container;
determining, by the one or more processors, a likelihood of the first container being suitable for a future shipment, by applying a machine learning (ML) model to the at least one historical data point and the first active data point, the machine learning model trained using data including a second historical data point related to a completed shipment for a second container, a second active data point from a second container during active shipment, and a result of a subsequent shipment of the second container; and
producing, by the one or more processors, the pre-trip inspection prediction, using the likelihood of the first container being suitable for the future shipment.
|