US 11,810,061 B2
Pre-trip inspection prediction and PTI reduction systems, processes and methods of use
Po Ching Lam, Hong Kong (HK); Wai Kwan Chow, Hong Kong (HK); and Jiao Peng, Guangdong (CN)
Assigned to OOCL (Infotech) Holdings Limited, Hong Kong (HK)
Filed by OOCL (infotech) Holdings Limited, Hong Kong (HK)
Filed on May 11, 2022, as Appl. No. 17/742,046.
Application 17/742,046 is a continuation of application No. PCT/US2020/061008, filed on Nov. 18, 2020.
Claims priority of provisional application 62/937,115, filed on Nov. 18, 2019.
Prior Publication US 2022/0270041 A1, Aug. 25, 2022
Int. Cl. G06Q 10/083 (2023.01); G06N 20/00 (2019.01); G06Q 10/0833 (2023.01); G06Q 10/04 (2023.01); G06Q 10/067 (2023.01)
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
OG exemplary drawing
 
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.