United Parcel Service of America, Inc.

Padmanabha Shastry Varadarajula

Sathiyan Parameswaran

Pavan Doddipalli

Dhruvil Parikh

Input data that includes one or more observations made at one or more corresponding time slices is received. The input data is provided to one or more time-based prediction models that predict one or more values for one or more future time slices. One or more randomness compensating factors are determined. The one or more randomness compensating factors correspond to one or more features indicative of one or more events associated with the one or more corresponding time slices. Based at least in part on the determining of the one or more randomness compensating factors and the prediction of the one or more time-based prediction models, a second one or more values for at least one of the one or more future time slices are predicted. In response to the predicting of the second one or more values, an indication associated with the predicted second one or more values are presented to a user computer device.

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Atlanta, GA, United States of America

Padmanabha Shastry Varadarajula