The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Feb. 27, 2007
Filed:
Oct. 29, 2003
Frederic Fox, Berwyn, PA (US);
Mike Kowa, Glenmoore, PA (US);
Michael Willen, Thorndale, PA (US);
Paul Walsh, Downingtown, PA (US);
Doug Pearson, Mohnton, PA (US);
David Estornell, Lincoln University, PA (US);
Frederic Fox, Berwyn, PA (US);
Mike Kowa, Glenmoore, PA (US);
Michael Willen, Thorndale, PA (US);
Paul Walsh, Downingtown, PA (US);
Doug Pearson, Mohnton, PA (US);
David Estornell, Lincoln University, PA (US);
Planalytics, Inc., Wayne, PA (US);
Abstract
Systems and methods to generate business recommendations for specific business actions based on weather element forecasts and known relationships between a business activity and weather elements are provided. The system includes a confidence level filter, an opportunity matrix filter, a weather decision point generator, a business rule recommendation engine and a business rule knowledge database. Methods to generate a business recommendation for a business activity are also provided. The methods include receiving weather driven demand data, assigning opportunity measures to each of the data points, identifying weather decision points based on opportunity measures, and applying business weather rules to the weather decision points to generate business recommendations. In a further feature, a weather element relationship and/or a weather element forecast confidence level is assigned to each data point within the weather driven demand data. These confidence levels are then factored in to determine weather decision points.