AUTOMATED SPECIFICATION, ESTIMATION, DISCOVERY OF CAUSAL DRIVERS AND MARKET RESPONSE ELASTICITIES OR LIFT FACTORS
    11.
    发明申请
    AUTOMATED SPECIFICATION, ESTIMATION, DISCOVERY OF CAUSAL DRIVERS AND MARKET RESPONSE ELASTICITIES OR LIFT FACTORS 有权
    自动化规范,估算,发现原动力和市场反应弹性或提升因素

    公开(公告)号:US20100145793A1

    公开(公告)日:2010-06-10

    申请号:US12609440

    申请日:2009-10-30

    IPC分类号: G06Q10/00 G06Q30/00 G06N5/02

    摘要: In some embodiments, a software facility performs a method of automated specification of models, estimation of elasticities, and discovery of drivers using the framework(s) discussed elsewhere herein is provided. The facility first obtains the client, business, and/or brand goals in terms of profit optimization, volume or revenue goals, acquisition of new customers, retention of customers, share of wallet and upsell. In conjunction with these goals, the facility obtains cross-section meta-data related to the planning time horizon, markets, geographies, channels of trade and customer segments. In combination, the goals and meta-data define the structure of the data stack and the number of demand generation equations that are needed.

    摘要翻译: 在一些实施例中,提供了使用本文中其他地方讨论的框架来自动指定模型,弹性估计和驾驶者发现的方法。 该设施首先在利润优化,数量或收入目标,新客户获取,客户保留,钱包份额和加售方面获得客户,业务和/或品牌目标。 结合这些目标,该设施获得与规划时间范围,市场,地理位置,贸易渠道和客户细分相关的横截面元数据。 综合起来,目标和元数据定义了数据堆栈的结构以及需要的需求生成方程的数量。