Patents by Inventor Allison M. McCormack

Allison M. McCormack 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).

  • Patent number: 7219066
    Abstract: A tool, called the Skills Matching Application (SMA), allows a user, such as a hiring manager, to communicate requirements to technical service suppliers in a way that significantly reduces the process time and improves the accuracy of requests sent to suppliers. The SMA is accessed from a Web-based Requisition/Catalog (REQ/CAT) Web application. A user who needs to request a technical contractor accesses the REQ/CAT Web application which brings the user to the SMA Web site. The SMA application, after requiring a password and profile (for first time access) to be entered, takes the user through a series of screens which prompts the user to enter a Statement of Work (SOW) and complete a skills detail checklist for each of the technical skills requested. Once the request is completed, it is submitted to contracted suppliers who are sent an e-mail notification notifying the supplier that a new request has been entered into the SMA application for them to review and submit a candidate against.
    Type: Grant
    Filed: January 12, 2001
    Date of Patent: May 15, 2007
    Assignee: International Business Machines Corporation
    Inventors: Russell E. Parks, Frank Davide, Allison M. McCormack, Jae K. Park, Gautam Majumdar
  • Publication number: 20040267606
    Abstract: An exemplary embodiment of the invention relates to a method, system, and storage medium for supplemental workforce procurement and management. The method comprises: receiving a request form from a hiring entity for a supplemental worker that includes a work location, at least one skill type, a skill level associated with the at least one skill type, and a quantity of supplemental workers required for performing the job; generating a list of at least one supplier candidate that satisfies the criteria provided in the request form by accessing a data repository; and providing the list of at least one supplier candidate to the hiring entity. The data repository stores predefined skill types, predefined skill levels, supplier locations, and pre-negotiated pay rates. The method also comprises automatically transmitting the request form to a requisitioning tool for generating a requisition and automatically transmitting the requisition to a procurement engine for generating a purchase order.
    Type: Application
    Filed: June 30, 2003
    Publication date: December 30, 2004
    Applicant: International Business Machines Corporation
    Inventors: Heidi L. Brishke, Kathryn A. Browning, Pamela K. Howard, Gautam Majumdar, Allison M. McCormack, Russell E. Parks
  • Publication number: 20020095300
    Abstract: A tool, called the Skills Matching Application (SMA), allows a user, such as a hiring manager, to communicate requirements to technical service suppliers in a way that significantly reduces the process time and improves the accuracy of requests sent to suppliers. The SMA is accessed from a Web-based Requisition/Catalog (REQ/CAT) Web application. A user who needs to request a technical contractor accesses the REQ/CAT Web application which brings the user to the SMA Web site. The SMA application, after requiring a password and profile (for first time access) to be entered, takes the user through a series of screens which prompts the user to enter a Statement of Work (SOW) and complete a skills detail checklist for each of the technical skills requested. Once the request is completed, it is submitted to contracted suppliers who are sent an e-mail notification notifying the supplier that a new request has been entered into the SMA application for them to review and submit a candidate against.
    Type: Application
    Filed: January 12, 2001
    Publication date: July 18, 2002
    Inventors: Russell E. Parks, Frank Davide, Allison M. McCormack, Jae K. Park