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1. 发明申请

US20150371242A1 SYSTEMS AND METHODS FOR PRIME PRODUCT FORECASTING 审中-公开
标题翻译：用于产品预测的系统和方法
公开(公告)号：US20150371242A1
公开(公告)日：2015-12-24
申请号：US14311682
申请日：2014-06-23
申请人： Caterpillar Inc.
发明人： Sridhar RAMASWAMY , Mark Carl RICHARDSON , James Robert MASON , Kenneth Dale GRAY , Bhargvendra TRIPATHI , Sangjeong NAM
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0202
摘要： 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.
摘要翻译：披露了用于预测主要产品未来销售的系统和方法。该系统包括至少一个处理器，配置有用于收集主要产品的历史销售数据的指令，从作为主要产品销售的一个或多个机器收集历史远程信息数据，并收集与主要产品相关的历史计量数据。所述至少一个处理器还从所述历史远程信息数据和所述历史计量经济数据生成一组候选预测器，从所述候选预测器组中选择预测器，并且建立表示所选择的预测器与所述历史销售数据之间的关系的预测模型主要产品。至少一个处理器通过使用既定的预测模型来预测主要产品的未来销售。

2. 发明申请

US20150371243A1 SYSTEMS AND METHODS FOR PARTS FORECASTING 审中-公开
标题翻译：部件预测的系统和方法
公开(公告)号：US20150371243A1
公开(公告)日：2015-12-24
申请号：US14311719
申请日：2014-06-23
申请人： Caterpillar Inc.
发明人： Sridhar RAMASWAMY , Martin LeRay LYONS , Brandon Ted SHULL , Faisal HASAN , Bhargvendra TRIPATHI
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0202
摘要： Systems and methods are disclosed for forecasting future sales of a part. The system includes at least one processor configured with instructions to collect historical sales data of the part, collect historical telematics data from one or more machines including the part, and collect historical econometric data relevant to the part. 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 part. The at least one processor forecasts future sales of the part by using the established forecasting model.
摘要翻译：披露了系统和方法来预测零件的未来销售情况。该系统包括至少一个配置有收集部件的历史销售数据的指令的处理器，从包括该部件的一个或多个机器收集历史远程信息数据，并且收集与该部件相关的历史计量经济数据。所述至少一个处理器还从所述历史远程信息数据和所述历史计量经济学数据生成一组候选预测器，从所述候选预测器组中选择预测变量，并且建立表示所选择的预测变量与历史销售数据之间的关系的预测模型那个部分。至少一个处理器通过使用既定的预测模型来预测零件的未来销售情况。

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