US 12,488,314 B2
System and method for trailer unload prioritization
Abhijeet Prakash, Bihar (IN); Pavan Boppidi, Centerton, AR (US); Raju Chautagi, Karnataka (IN); Najla Jannah Williams, Cypress, TX (US); Bhukailas Reddy Bandlapalli, Andhra Pradesh (IN); Hariprasad Ramamoorthy, Bentonville, AR (US); Venkata Subramanian Madhu, Bangalore (IN); and Susarla Chakravarthy Sitarama, Bangalore (IN)
Assigned to Walmart Apollo, LLC, Bentonville, AR (US)
Filed by Walmart Apollo, LLC, Bentonville, AR (US)
Filed on Jul. 5, 2023, as Appl. No. 18/347,039.
Prior Publication US 2025/0013981 A1, Jan. 9, 2025
Int. Cl. G06Q 10/087 (2023.01); G06Q 10/0833 (2023.01)
CPC G06Q 10/087 (2013.01) [G06Q 10/0833 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A system, comprising:
at least one mobile device associated with a product receiving center at which a plurality of trailers carrying freight are waiting to be unloaded; and
a computing device comprising at least one processor that is in communication with the at least one mobile device and configured to:
obtain, for each of the plurality of trailers, a plurality of lever parameters,
train a ranking model including a plurality of parameter weights based on historical trailer unloading data and historical yard management data, wherein each of the plurality of parameter weights is associated with a corresponding one of the plurality of lever parameters,
execute the ranking model on the plurality of lever parameters to generate a priority list of the plurality of trailers based on a weighted combination of the plurality of lever parameters with the plurality of parameter weights,
create, based at least on the priority list, a control signal corresponding to a top trailer ranked at the top of the priority list,
transmit the control signal to the at least one mobile device, the control signal including an instruction to transport the top trailer to a target door of the product receiving center for unloading the freight of the top trailer, and
re-train the ranking model to adjust the plurality of parameter weights periodically or upon an upcoming event.