公开(公告)号：US20120284084A1

公开(公告)日：2012-11-08

申请号：US13101276

申请日：2011-05-05

申请人： Yevgeniy Popkov ,  Su-Ming Wu ,  Manish Gupte

发明人： Yevgeniy Popkov ,  Su-Ming Wu ,  Manish Gupte

IPC分类号： G06Q10/00

CPC分类号： G06Q10/04

摘要： Systems, methods, and other embodiments associated with scalable regression for retail panel are described. In one embodiment, a method includes performing a regression that estimates elasticity of demand for a retail item, wherein the regression is performed on a transformation of a demand model that does not include variables associated with base demand or seasonality. In a subsequent processing step, the method includes estimating a base demand and seasonality for the retail item based, at least in part, on the estimated elasticity of demand. The method may be performed in a database that stores retail panel data for the retail item and other retail items.

摘要翻译： 描述了与零售面板的可缩放回归相关联的系统，方法和其他实施例。 在一个实施例中，一种方法包括执行估计零售商品的需求弹性的回归，其中对不包括与基本需求或季节性相关联的变量的需求模型的转换执行回归。 在随后的处理步骤中，该方法包括至少部分地基于估计的需求弹性来估计零售商品的基本需求和季节性。 该方法可以在存储零售商品和其他零售商品的零售面板数据的数据库中执行。

公开(公告)号：US08645188B2

公开(公告)日：2014-02-04

申请号：US13348848

申请日：2012-01-12

申请人： Su-Ming Wu ,  Yevgeniy Popkov

发明人： Su-Ming Wu ,  Yevgeniy Popkov

IPC分类号： G06Q30/00

CPC分类号： G06Q10/04 ,  G06Q30/02

摘要： One embodiment is directed generally to a computer system, and in particular to a system for providing automatic estimating of demand parameters. According to certain embodiments, a computer readable medium has instructions stored thereon that, when executed by a processor, cause the processor to determine a reliable demand parameter for a level within a sales hierarchy. The instructions include estimating a demand parameter for a first pool. The estimating is based on blending and comparing with respect to an enlarged pool comprising the first pool as a subset of the enlarged pool to obtain an estimated demand parameter.

摘要翻译： 一个实施例通常涉及计算机系统，并且特别地涉及用于提供需求参数的自动估计的系统。 根据某些实施例，计算机可读介质具有存储在其上的指令，当由处理器执行时，其使得处理器确定销售层级内的级别的可靠的需求参数。 说明书包括估计第一池的需求参数。 估计是基于将包括作为放大池的子集的第一池的扩大池的混合和比较来获得估计的需求参数。

公开(公告)号：US20130185116A1

公开(公告)日：2013-07-18

申请号：US13348817

申请日：2012-01-12

申请人： Yevgeniy Popkov ,  Su-Ming Wu

发明人： Yevgeniy Popkov ,  Su-Ming Wu

IPC分类号： G06Q10/04

CPC分类号： G06Q10/04 ,  G06Q30/02

摘要： A system provides automatic escalation of demand parameters to determine a reliable demand parameter for a level within a sales hierarchy. The system measures difference in demand parameters between a level of interest within the sales hierarchy and a plurality of other levels within the sales hierarchy. The system also compares the differences in demand parameters of the other levels. The system further determines an escalation path for a demand parameter based on the comparison.

摘要翻译： 系统提供需求参数的自动升级以确定销售层次结构中的级别的可靠的需求参数。 该系统测量销售层级内的感兴趣水平与销售层级内的多个其他水平之间的需求参数的差异。 该系统还比较了其他级别需求参数的差异。 该系统还基于比较来确定需求参数的升级路径。

公开(公告)号：US08751289B2

公开(公告)日：2014-06-10

申请号：US13101276

申请日：2011-05-05

申请人： Yevgeniy Popkov ,  Su-Ming Wu ,  Manish Gupte

发明人： Yevgeniy Popkov ,  Su-Ming Wu ,  Manish Gupte

IPC分类号： G06Q10/00

CPC分类号： G06Q10/04

摘要： Systems, methods, and other embodiments associated with scalable regression for retail panel are described. In one embodiment, a method includes performing a regression that estimates elasticity of demand for a retail item, wherein the regression is performed on a transformation of a demand model that does not include variables associated with base demand or seasonality. In a subsequent processing step, the method includes estimating a base demand and seasonality for the retail item based, at least in part, on the estimated elasticity of demand. The method may be performed in a database that stores retail panel data for the retail item and other retail items.

摘要翻译： 描述了与零售面板的可缩放回归相关联的系统，方法和其他实施例。 在一个实施例中，一种方法包括执行估计零售商品的需求弹性的回归，其中对不包括与基本需求或季节性相关联的变量的需求模型的转换执行回归。 在随后的处理步骤中，该方法包括至少部分地基于估计的需求弹性来估计零售商品的基本需求和季节性。 该方法可以在存储零售商品和其他零售商品的零售面板数据的数据库中执行。

公开(公告)号：US08874499B2

公开(公告)日：2014-10-28

申请号：US13529460

申请日：2012-06-21

申请人： Sandeep Tiwari ,  Peter Gaidarev ,  Su-Ming Wu

发明人： Sandeep Tiwari ,  Peter Gaidarev ,  Su-Ming Wu

IPC分类号： G06N5/02

CPC分类号： G06Q30/0278 ,  G06Q30/00 ,  G06Q50/10

摘要： A system generates a consumer decision tree (“CDT”). The system receives customer purchasing data that includes transactions of a plurality of products each having at least one product attribute. For a product category, the system identifies a plurality of similar products from the purchasing data and one or more attributes corresponding to each similar product. The system assigns the product category as a current level of the CDT, and determines a most significant attribute of the plurality of attributes for the current level. The system forms a next level of the CDT by dividing the most significant attribute into a plurality of sub-sections, where each sub-section corresponds to an attribute value of the most significant attribute. The system then forms a next level of the CDT for each sub-section until a terminal node is identified.

摘要翻译： 系统生成消费者决策树（“CDT”）。 系统接收包括多个产品的客户购买数据，每个产品具有至少一个产品属性。 对于产品类别，系统根据购买数据和对应于每个相似产品的一个或多个属性识别多个类似产品。 系统将产品类别分配为CDT的当前级别，并确定当前级别的多个属性中最重要的属性。 该系统通过将最重要属性划分为多个子部分来形成CDT的下一个级别，其中每个子部分对应于最重要属性的属性值。 然后，系统为每个子部分形成CDT的下一级，直到识别出终端节点。