Patents by Inventor Peter Shipman

Peter Shipman has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Proactively predicting large orders and providing fulfillment support related thereto
    Patent number: 11410121
    Abstract: Methods, apparatus, and processor-readable storage media for proactively predicting large orders and providing fulfillment support related thereto are provided herein. An example computer-implemented method includes classifying, via a first set of one or more machine learning techniques, a transaction quote as a transaction quote that exceeds one or more size-related parameters or a transaction quote that does not exceed the one or more size-related parameters; determining, if the transaction quote is classified as a transaction quote that exceeds one or more size-related parameters, supportability of converting the transaction quote into a transaction order via a second set of one or more machine learning techniques; and outputting, based on the determined supportability, information pertaining to converting the transaction quote into a transaction order and fulfilling the transaction order to one or more entities associated with transaction order fulfillment.
    Type: Grant
    Filed: April 27, 2018
    Date of Patent: August 9, 2022
    Assignee: EMC IP Holding Company LLC
    Inventors: Venkata Chandra Sekar Rao, Abhishek Gupta, Rashmi Sudhakar, Sham A R, Peter Shipman, Sumit Gupta, Velmurugan R
  • Proactively Predicting Large Orders and Providing Fulfillment Support Related Thereto
    Publication number: 20190333001
    Abstract: Methods, apparatus, and processor-readable storage media for proactively predicting large orders and providing fulfillment support related thereto are provided herein. An example computer-implemented method includes classifying, via a first set of one or more machine learning techniques, a transaction quote as a transaction quote that exceeds one or more size-related parameters or a transaction quote that does not exceed the one or more size-related parameters; determining, if the transaction quote is classified as a transaction quote that exceeds one or more size-related parameters, supportability of converting the transaction quote into a transaction order via a second set of one or more machine learning techniques; and outputting, based on the determined supportability, information pertaining to converting the transaction quote into a transaction order and fulfilling the transaction order to one or more entities associated with transaction order fulfillment.
    Type: Application
    Filed: April 27, 2018
    Publication date: October 31, 2019
    Inventors: Venkata Chandra Sekar Rao, Abhishek Gupta, Rashmi Sudhakar, Sham A R, Peter Shipman, Sumit Gupta, Velmurugan R