Patent ID: 11966875
Assignee: UNITED PARCEL SERVICE OF AMERICA, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. A computer-implemented system for determining a delivery confidence interval, the computer-implemented system comprising:
a storage system for storing and retrieving delivery information from one or more sources, wherein the delivery information comprises data records associated with at least one predefined location perimeter, wherein the at least one predefined location perimeter is defined by at least one of a Zip8 or a Zip9 designation, and each of the data records corresponds to a package delivery performed within the predefined location perimeter and identifies whether the package delivery required a confirmation signature;
a data normalization system for conducting a normalization of the data records associated with the at least one predefined location perimeter to generate normalized data, wherein the normalization reduces redundancies and removes outliers from the data records;
a categorization system for categorizing the normalized data into training data used to perform a deep neural network regression analysis;
a deep neural network system for determining a predicted delivery confidence interval by constructing a predictive learning model, the predictive learning model constructed by conducting a regression of the training data using deep neural network regression designed to cease learning upon detecting a predetermined reduction in error rate;
a results system for storing the predicted delivery confidence interval in a results table in association with the at least one predefined location perimeter; and
a visibility management system for accessing the results table, including prior accuracy information, to provide predicted delivery windows to consignees based at least in part on whether the package delivery required the confirmation signature.