United Parcel Service of America, Inc.

Sathiyan Parameswaran

Mark R Hilbush

Bruce Besserer

Nicholas Costides

Mark Hilbush

Padmanabha Shastry Varadarajula

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.

Using randomness compensating factors to improve forecast accuracy

Systems, methods, apparatus, and computer program products are provided for initiating shipment of and payment for shipping a parcel. For example, in one embodiment, a customer/user can receive a message on a user device from a carrier that includes an authorization code for shipping a parcel. After the customer/user ships the parcel, the carrier can charge a variety of accounts for the shipping charges, including a wireless services provider associated with the user device. In another embodiment, the customer/user can interact with a kiosk to ship the parcel. In this embodiment, the carrier can also charge a variety of accounts for the shipping charges, including a wireless services provider.

Enhanced payments for shipping

According to various embodiments, a shipping label validation system is provided for determining whether a shipping label is valid or counterfeit. The system may be used, for example, by a shipping entity (e.g., a common carrier) to prevent counterfeiting by generating and embedding onto the shipping label a shipping label hash index based upon at least a portion of the data located on the shipping label. The shipping label data may include, for example, a sender's address, recipient's address, package weight, tracking number, routing code, service code, and/or MaxiCode. The system may also be used to detect existing counterfeit shipping labels by independently generating a confirmation hash index based upon the same portion of the data used to calculate the shipping label hash index. In various embodiments, the system identifies counterfeit shipping labels based upon any discrepancies revealed when comparing the shipping label hash index to the confirmation hash index.

Systems and methods for a secure shipping label

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Morris Plains, NJ, United States of America

Sathiyan Parameswaran