Patents by Inventor David G. Estornell

David G. Estornell 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: 7844517
    Abstract: Weather metrics data and a weather factor relationship knowledgebase are received and used to forecast the weather-based demand. The weather factor relationship knowledgebase can be a weather-impact model. The weather-impact model can comprise at least one of an empirical scoring matrix, a weather indices template, and a proxy model conditions template. The weather-impact model can be derived from an analysis of normalized proxy sales history data. Optionally, the weather-based demand can be scaled, deaggregated, or both.
    Type: Grant
    Filed: November 12, 2003
    Date of Patent: November 30, 2010
    Assignee: Planalytics, Inc.
    Inventors: Michael A. Willen, David G. Estornell, William E. Kirk, Eli H. Miller, Paul E. Walsh
  • Patent number: 7069232
    Abstract: A system, method and computer program product for short-term forecasting of future retail performance are described herein. The system includes a Web-based graphical user interface, a weather history database and a weather forecast database. The method and computer program product allow users (e.g., retail managers and the like) to produce maps and related charts, using weather and sales history correlation analyzes, indicating weather favorability for specific retail products in specific geographic areas during specific future (and past) time periods. The weather favorability maps thereby facilitate retail-based advertising, allocation, placement, promotion and staffing decisions.
    Type: Grant
    Filed: September 6, 2000
    Date of Patent: June 27, 2006
    Assignee: Planalytics, Inc.
    Inventors: Frederic D. Fox, Steven A. Beck, Mark D. Compher, William E. Kirk, James R. VanOstenbridge, David G. Estornell, Paul E. Walsh
  • Publication number: 20040225556
    Abstract: Weather metrics data and a weather factor relationship knowledgebase are received and used to forecast the weather-based demand. The weather factor relationship knowledgebase can be a weather-impact model. The weather-impact model can comprise at least one of an empirical scoring matrix, a weather indices template, and a proxy model conditions template. The weather-impact model can be derived from an analysis of normalized proxy sales history data. Optionally, the weather-based demand can be scaled, deaggregated, or both.
    Type: Application
    Filed: November 12, 2003
    Publication date: November 11, 2004
    Inventors: Michael A. Willen, David G. Estornell, William E. Kirk, Eli H. Miller, Paul E. Walsh