Paul J Walsh

US Patent:

7069232, Jun 27, 2006

Filed:

Sep 6, 2000

Appl. No.:

09/656397

Inventors:

Frederic D. Fox - Berwyn PA, US
Steven A. Beck - Spring City PA, US
Mark D. Compher - Downingtown PA, US
William E. Kirk - Easton PA, US
James R. VanOstenbridge - Norristown PA, US
David G. Estornell - Lincoln University PA, US
Paul E. Walsh - Downingtown PA, US

Assignee:

Planalytics, Inc. - Wayne PA

International Classification:

G06F 17/60

US Classification:

705 10, 705 36

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.

US Patent:

7184965, Feb 27, 2007

Filed:

Oct 29, 2003

Appl. No.:

10/695445

Inventors:

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

Assignee:

Planalytics, Inc. - Wayne PA

International Classification:

G06F 9/44

US Classification:

705 7

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.

US Patent:

7844517, Nov 30, 2010

Filed:

Nov 12, 2003

Appl. No.:

10/705758

Inventors:

Michael A. Willen - Thorndale PA, US
David G. Estornell - Lincoln University PA, US
William E. Kirk - Easton PA, US
Eli H. Miller - Sumneytown PA, US
Paul E. Walsh - Downingtown PA, US

Assignee:

Planalytics, Inc. - Berwyn PA

International Classification:

G06Q 40/00

US Classification:

705 35, 705 37

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.