SYSTEMS AND METHODS FOR FORECASTING USING CUSTOMER PREFERENCE PROFILES
First Claim
1. A computer-implemented method for forecasting characteristics of a target item comprising:
- determining a forecast function representing characteristics of the target item, wherein the forecast function includes one or more generic functions and one or more customer-specific functions, each one of the generic functions is uniform for a plurality of customers within one or more customer groups and has one or more generic function variables, and each one of the customer-specific functions is specifically configured for a corresponding customer group and has one or more customer-specific function variables;
determining, by one or more processors, a data value for each one of the generic function variables and the customer-specific function variables by using a genetic algorithm; and
forecasting, by the one or more processors, the characteristics of the target item by using the forecast function and the determined data values.
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Abstract
A computer-implemented method for forecasting characteristics of a target item is disclosed. The method may include determining a forecast function representing characteristics of the target item. The forecast function may include one or more generic functions and one or more customer-specific functions. Each one of the generic functions may be uniform for a plurality of customers within one or more customer groups and may have one or more generic function variables. Each one of the customer-specific functions may be specifically configured for a corresponding customer group and may have one or more customer-specific function variables. The method may also include determining a data value for each one of the generic function variables and the customer-specific function variables by using a genetic algorithm. The method may further include forecasting the characteristics of the target item by using the forecast function and the determined data values.
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Citations
20 Claims
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1. A computer-implemented method for forecasting characteristics of a target item comprising:
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determining a forecast function representing characteristics of the target item, wherein the forecast function includes one or more generic functions and one or more customer-specific functions, each one of the generic functions is uniform for a plurality of customers within one or more customer groups and has one or more generic function variables, and each one of the customer-specific functions is specifically configured for a corresponding customer group and has one or more customer-specific function variables; determining, by one or more processors, a data value for each one of the generic function variables and the customer-specific function variables by using a genetic algorithm; and forecasting, by the one or more processors, the characteristics of the target item by using the forecast function and the determined data values. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A characteristic forecasting system comprising:
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a processor; and a memory module configured to store instructions, that, when executed, enable the processor to; determine a forecast function representing characteristics of the target item, wherein the forecast function includes one or more generic functions and one or more customer-specific functions, each one of the generic functions is uniform for a plurality of customers within one or more customer groups and has one or more generic function variables, and each one of the customer-specific functions is specifically configured for a corresponding customer group and has one or more customer-specific function variables; determine a data value for each one of the generic function variables and the customer-specific function variables by using a genetic algorithm; and forecast the characteristics of the target item by using the forecast function and the determined data values. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A non-transitory computer-readable storage device storing instructions for forecasting characteristics of a target item, the instructions causing one or more computer processors to perform operations comprising:
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determining a forecast function representing characteristics of the target item, wherein the forecast function includes one or more generic functions and one or more customer-specific functions, each one of the generic functions is uniform for a plurality of customers within one or more customer groups and has one or more generic function variables, and each one of the customer-specific functions is specifically configured for a corresponding customer group and has one or more customer-specific function variables; determining a data value for each one of the generic function variables and the customer-specific function variables by using a genetic algorithm; and forecasting the characteristics of the target item by using the forecast function and the determined data values. - View Dependent Claims (20)
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Specification