SYSTEMS AND METHODS FOR PRIME PRODUCT FORECASTING
First Claim
1. A computer system for forecasting future sales of a prime product, the computer system comprising:
- at least one processor configured with instructions to;
collect historical sales data of the prime product;
collect historical telematics data from one or more machines that were sold as the prime product;
collect historical econometric data relevant to the prime product;
generate a group of candidate predictors from the historical telematics data and the historical econometric data;
select predictors from the group of candidate predictors;
establish a forecasting model representing a relationship between the selected predictors and the historical sales data of the prime product; and
forecast future sales of the prime product by using the established forecasting model.
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Abstract
Systems and methods are disclosed for forecasting future sales of a prime product. The system includes at least one processor configured with instructions to collect historical sales data of the prime product, collect historical telematics data from one or more machines that were sold as the prime product, and collect historical econometric data relevant to the prime product. The at least one processor also generates a group of candidate predictors from the historical telematics data and the historical econometric data, select predictors from the group of candidate predictors, and establish a forecasting model representing a relationship between the selected predictors and the historical sales data of the prime product. The at least one processor forecasts future sales of the prime product by using the established forecasting model.
15 Citations
20 Claims
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1. A computer system for forecasting future sales of a prime product, the computer system comprising:
at least one processor configured with instructions to; collect historical sales data of the prime product; collect historical telematics data from one or more machines that were sold as the prime product; collect historical econometric data relevant to the prime product; generate a group of candidate predictors from the historical telematics data and the historical econometric data; select predictors from the group of candidate predictors; establish a forecasting model representing a relationship between the selected predictors and the historical sales data of the prime product; and forecast future sales of the prime product by using the established forecasting model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for forecasting future sales of a prime product, the method comprising the following operations performed by at least one processor:
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collecting historical sales data of the prime product; collecting historical telematics data from one or more machines that were sold as the prime product; collecting historical econometric data relevant to the prime product; generating a group of candidate predictors from the historical telematics data and the historical econometric data; selecting predictors from the group of candidate predictors; establishing a forecasting model representing a relationship between the selected predictors and the historical sales data of the prime product; and forecasting future sales of the prime product by using the established forecasting model. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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20. A non-transitory computer-readable storage device storing instructions for forecasting future sales of a prime product, the instructions causing one or more computer processors to perform operations comprising:
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collecting historical sales data of the prime product; collecting historical telematics data from one or more machines that were sold as the prime product; collecting historical econometric data relevant to the prime product; generating a group of candidate predictors from the historical telematics data and the historical econometric data; selecting predictors from the group of candidate predictors; establishing a forecasting model representing a relationship between the selected predictors and the historical sales data of the prime product; and forecasting future sales of the prime product by using the established forecasting model.
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Specification