Planalytics, Inc.

William E Kirk

David G Estornell

Paul E Walsh

Frederic D Fox

Steven A Beck

Michael A Willen

James R VanOstenbridge

Eli H Miller

Mark D Compher

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.

System, method, and computer program product for forecasting weather-based demand using proxy data

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.

System, method and computer program product for short-range weather adapted, business forecasting

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Easton, PA, United States of America

William E Kirk