SYSTEMS AND METHODS FOR RECOMMENDING BUSINESS DECISIONS UTILIZING WEATHER DRIVEN DEMAND DATA AND OPPORTUNITY AND CONFIDENCE MEASURES

Patent №

US 7,184,965

Granted

2007-02-27

Filed 2003

Owner

PLANALYTICS, INC.

Lab

AI components

3

kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10695445

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.

AI classification

Knowledge representation1.00
Planning1.00
AI hardware0.97
Machine learning0.12
Vision0.00
Natural language0.00
Evolutionary computation0.00
Speech0.00

Ownership

PLANALYTICS, INC.

assignment · 145270360

Assignors

FOX, FREDERIC, KOWA, MIKE, WILLEN, MICHAEL, WALSH, PAUL, PEARSON, DOUG, ESTORNELL, DAVID

On an employer assignment, the assignors are typically the inventors.

From the same owner

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