Abstract: Disclosed herein are system, method, and computer program products for providing geographically targeted weather-based marketing in a social network. For example, the method operates by receiving weather-driven marketing recommendation data based on an analysis of historical weather data, historical sales data and a weather forecast, and transforming the weather-driven marketing recommendation data into electronic marketing content. The marketing content can then be transmitted to a social network for targeted publishing.

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.

Abstract: A weather-based financial index is based at least in part on weather. The index may take into account any of a variety of weather factors, such as temperature, precipitation, humidity, number of sunny or overcast days in a period of time, number of freeze days in a period of time, etc. Weather factor value(s) are combined with one or more financial components to provide the weather-based financial index. The index may be traded on an exchange, such as the New York Mercantile Exchange (NYMEX). The value of the index may be calculated based on any period or on any geography (or combination of geographies). Historical values of the index or component(s) thereof may be used to predict future values of the index. Values of the index may provide insight into the direction of a component of the index, a market or industry corresponding to the component, or the index itself.

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.

Abstract: A system and method for valuating weather-based financial instruments including weather futures, options, swaps, and the like. The system includes weather forecast, weather history, and financial databases. Also included in the system is a central processing trading server that is accessible via a plurality of internal and external workstations. The workstations provide a graphical user interface for users to enter a series of inputs and receive information (i.e., output) concerning a financial instrument. The method involves collecting the series of inputs—start date, maturity date, geographic location(s), risk-free rate, and base weather condition—affecting the value of the financial instrument and applying a pricing model modified to account for weather.

Abstract: A method, system and computer program product for valuating natural gas futures and options contracts using weather-based metrics. The method and computer program product allow gas buyers and traders to make informed decision on purchasing/selling natural gas futures and futures options on a regulated exchange such as the New York Mercantile Exchange (NYMEX) based on historical and forecasted weather. The system includes weather forecast, weather history, and natural gas-related databases, as well as a trading server and several workstation clients, and provides assistance to traders in reaching complex buying/hedging decisions.

Abstract: A weather-based financial index is based at least in part on weather. The index may take into account any of a variety of weather factors, such as temperature, precipitation, humidity, number of sunny or overcast days in a period of time, number of freeze days in a period of time, etc. Weather factor value(s) are combined with one or more financial components to provide the weather-based financial index. The index may be traded on an exchange, such as the New York Mercantile Exchange (NYMEX). The value of the index may be calculated based on any period, such as daily, weekly, monthly, yearly, etc. Values of the index may provide insight into the direction of a component of the index, a market or industry corresponding to the component, or the index itself.

Abstract: A system and method for forecasting future retail performance are described herein. The system includes a storage device that stores a sales history database, a weather history database, and a weather forecast database. An analyzer determines the extent to which past retail performance of a plurality of products at a plurality of locations was affected by weather using the sales history database and the weather history database. A configurator, coupled to the analyzer, estimates expected future retail performance of the products at the stores for a plurality of future time periods using the weather forecast database and results produced by the analyzer. A graphical user interface, coupled to the analyzer and the configurator, enables users to view and manipulate results produced by the analyzer and the configurator to thereby forecast future retail performance of the products at the locations.

Abstract: A system and method that allows for weather-based planning of future activities and/or events, and the like. The system includes weather forecast, weather history, activities, advertisement and external information source databases. Also included in the system is a central processing planning server that is accessible via a plurality of internal and external workstations. The workstations provide a graphical user interface for users to enter a series of inputs and receive information (i.e., output) concerning weather-based information. The method involves collecting the series of inputs—geographic location(s), time period(s), and preferred weather pattern(s)—affecting a future event.

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.

Abstract: A system and method for forecasting future retail performance are described herein. The system includes a storage device that stores a sales history database, a weather history database, and a weather forecast database. An analyzer determines the extent to which past retail performance of a plurality of products at a plurality of locations was affected by weather using the sales history database and the weather history database. A configurator, coupled to the analyzer, estimates expected future retail performance of the products at the stores for a plurality of future time periods using the weather forecast database and results produced by the analyzer. A graphical user interface, coupled to the analyzer and the configurator, enables users to view and manipulate results produced by the analyzer and the configurator to thereby forecast future retail performance of the products at the locations.