Patents by Inventor Elvin Crabbe, JR.

Elvin Crabbe, JR. 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).

  • Machine Learning Based Decision Model to Open and Close Enterprise Facilities
    Publication number: 20230105544
    Abstract: Aspects of the disclosure relate to a decision model to open and close enterprise facilities. A computing platform may receive one or more attributes associated with an operation of an enterprise facility. Subsequently, the computing platform may identify, based on the one or more attributes, a business operation rule for the enterprise facility. Then, the computing platform may determine, based on the one or more attributes and the business operation rule, an operational parameter for the enterprise facility. Then, the computing platform may compare the operational parameter to a threshold parameter, where the threshold parameter may be indicative of whether to keep the enterprise facility open for business. Then, the computing platform may, upon a determination that the operational parameter fails to exceed the threshold parameter, determine to temporarily close the enterprise facility. Then, the computing platform may redistribute user traffic to one or more open customer resource facilities.
    Type: Application
    Filed: December 9, 2022
    Publication date: April 6, 2023
    Inventors: Stephen T. Shannon, James Alexander, Richard S. Scot, Elvin Crabbe, JR., Penelope M. York
  • Machine learning based decision model to open and close enterprise facilities
    Patent number: 11605041
    Abstract: Aspects of the disclosure relate to a decision model to open and close enterprise facilities. A computing platform may receive one or more attributes associated with an operation of an enterprise facility. Subsequently, the computing platform may identify, based on the one or more attributes, a business operation rule for the enterprise facility. Then, the computing platform may determine, based on the one or more attributes and the business operation rule, an operational parameter for the enterprise facility. Then, the computing platform may compare the operational parameter to a threshold parameter, where the threshold parameter may be indicative of whether to keep the enterprise facility open for business. Then, the computing platform may, upon a determination that the operational parameter fails to exceed the threshold parameter, determine to temporarily close the enterprise facility. Then, the computing platform may redistribute user traffic to one or more open customer resource facilities.
    Type: Grant
    Filed: August 13, 2020
    Date of Patent: March 14, 2023
    Assignee: Bank of America Corporation
    Inventors: Stephen Shannon, James Alexander, Penelope M. York, Elvin Crabbe, Jr., Richard S. Scot
  • MACHINE LEARNING BASED DECISION MODEL TO OPEN AND CLOSE ENTERPRISE FACILITIES
    Publication number: 20220051159
    Abstract: Aspects of the disclosure relate to a decision model to open and close enterprise facilities. A computing platform may receive one or more attributes associated with an operation of an enterprise facility. Subsequently, the computing platform may identify, based on the one or more attributes, a business operation rule for the enterprise facility. Then, the computing platform may determine, based on the one or more attributes and the business operation rule, an operational parameter for the enterprise facility. Then, the computing platform may compare the operational parameter to a threshold parameter, where the threshold parameter may be indicative of whether to keep the enterprise facility open for business. Then, the computing platform may, upon a determination that the operational parameter fails to exceed the threshold parameter, determine to temporarily close the enterprise facility. Then, the computing platform may redistribute user traffic to one or more open customer resource facilities.
    Type: Application
    Filed: August 13, 2020
    Publication date: February 17, 2022
    Inventors: Stephen T. Shannon, James Alexander, Penelope M. York, Elvin Crabbe, JR., Richard S. Scot