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SYSTEM, METHOD AND PROGRAM PRODUCT FOR PREDICTING BEST/WORST TIME TO BUY

机译:预测最佳/最差购买时间的系统,方法和程序产品

摘要

In response to a user request for information on the best/worst days in an upcoming time period to buy a commodity, a vehicle data system may determine anticipated daily discounts applicable to the commodity. An example commodity may be a vehicle of a specific configuration. In one embodiment, characteristics of month, day of week, and day of month may be gathered and fed into a Best Day to Buy model to determine, for each day of the time period, a projected daily discount relative to a set price for the commodity. Additional input variables such as incentives and seasonal discounts may be included. From the computed daily discounts, the vehicle data system may determine the best day and/or the worst day to buy and report same to the user.
机译:响应于用户请求在即将到来的时间段内的最佳/最差日期购买商品的信息,车辆数据系统可以确定适用于该商品的预期每日折扣。示例商品可以是特定配置的车辆。在一个实施例中,可以收集月份,一周中的一天和月份中的一天的特征,并将其输入到“最佳购买日”模型中,以针对该时间段的每一天确定相对于该定价的设定价格的预计每日折扣。商品。可以包括其他输入变量,例如激励措施和季节性折扣。根据所计算的每日折扣,车辆数据系统可以确定购买的最佳日期和/或最坏的日子并将其报告给用户。

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