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

Claim 7:
8. One or more non-transitory computer-storage media having computer executable instructions embodied thereon that, when executed, perform a method of determining a delivery confidence interval, the method comprising:
receiving delivery information from one or more sources, wherein the delivery information comprises data records associated with at least one predefined location perimeter, wherein one or more of 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;
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;
categorizing the normalized data into training data used to perform a deep neural network regression analysis;
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;
storing the predicted delivery confidence interval in a results table in association with the at least one predefined location perimeter; and
upon receiving a request from a visibility management system, 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.