公开(公告)号：US20250005506A1

公开(公告)日：2025-01-02

申请号：US18761087

申请日：2024-07-01

Applicant: Galleon Technology, Inc.

Inventor： Ben Fowlersmith ,  Sam Luu ,  Scott Frazier

IPC: G06Q10/0835 ,  G06N3/0895 ,  G06Q10/083

Abstract: Systems and methods for training a large language model to generate accurate shipping forecasts in accordance with embodiments of the invention are illustrated. One embodiment includes a method for training a large language model to generate accurate shipping forecasts. The method includes receiving input data that includes a plurality of categories of shipment data, wherein the shipment data includes a shipment progress date sequence, standardizing each of the plurality of categories of shipment data, generating a plurality of shipping profiles based on the standardized shipment data, and training a large language model to generate a new shipping profile, wherein the new shipping profile includes a predicted shipment progress date sequence associated with an upcoming shipment.