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Automation of the lift coefficient or market reaction elastic discovery and driver made specification, estimation, and cause

机译:提升系数或市场反应弹性的自动化发现和驱动程序制定的规范,估计和原因

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.
机译:在一些实施例中,提供了一种软件设施,该方法使用本文中其他地方讨论的框架来执行模型的自动指定,弹性的估计以及驾驶员发现的方法。该工厂首先根据利润优化,数量或收入目标,获取新客户,保留客户,分摊钱包和追加销售等方面获得客户,业务和/或品牌目标。结合这些目标,工厂可以获取与计划时间范围,市场,地理位置,贸易渠道和客户群有关的横截面元数据。目标和元数据结合起来定义了数据堆栈的结构以及所需的需求生成方程式的数量。

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