公开(公告)号：US20240249234A1

公开(公告)日：2024-07-25

申请号：US18603058

申请日：2024-03-12

Applicant: United Parcel Service of America, Inc.

Inventor： Donald HICKEY ,  Elizabeth BARAYUGA ,  Jia FAN

IPC: G06Q10/0833 ,  G06F16/29 ,  G06Q10/083

CPC classification number: G06Q10/0833 ,  G06F16/29 ,  G06Q10/0838

Abstract: Embodiments are disclosed for determining delivery confidence intervals. An example method for determining a confidence interval includes the following operations. Delivery information is received from one or more sources, wherein the delivery information comprises data associated with at least one predefined location perimeter. The data associated with the at least one predefined location perimeter is normalized. The normalized data is categorized into training data used to perform a deep neural network regression analysis. A predicted delivery confidence interval is determined by constructing a predictive learning model by conducting a regression of the data using deep neural network regression. The predicted delivery confidence interval is stored in a results table in association with the predefined location perimeter. And, upon receiving a request from a visibility management system, accessing the results table to provide predicted delivery windows to consignees.