MARKDOWN OPTIMIZATION SYSTEM USING A REFERENCE PRICE
    1.
    发明申请
    MARKDOWN OPTIMIZATION SYSTEM USING A REFERENCE PRICE 审中-公开
    MARKDOWN优化系统使用参考价格

    公开(公告)号:US20130103458A1

    公开(公告)日:2013-04-25

    申请号:US13276739

    申请日:2011-10-19

    IPC分类号: G06Q30/02

    CPC分类号: G06Q30/02

    摘要: A system determines a markdown pricing sequence for a product. The system receives a sequence of future prices as a function of time for the product based at least on business rules. For each price in the sequence, the system determines a reference price for the product, and then determines an increase in revenue using a demand model. The demand model includes a price elasticity variable that uses the reference price instead of a full price. The system then determines if the sequence of future prices is an optimized sequence based at least in part on the determined increase in revenue.

    摘要翻译: 系统确定产品的降价定价顺序。 至少基于业务规则,系统会根据产品的时间顺序收到一系列未来价格。 对于序列中的每个价格,系统确定产品的参考价格,然后使用需求模型确定收入的增加。 需求模型包括使用参考价格而不是全价的价格弹性变量。 系统然后至少部分地基于确定的收入增加来确定未来价格的序列是否是优化的序列。

    Consumer decision tree generation system
    5.
    发明授权
    Consumer decision tree generation system 有权
    消费者决策树生成系统

    公开(公告)号:US08874499B2

    公开(公告)日:2014-10-28

    申请号:US13529460

    申请日:2012-06-21

    IPC分类号: G06N5/02

    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。

    CONSUMER DECISION TREE GENERATION SYSTEM
    6.
    发明申请
    CONSUMER DECISION TREE GENERATION SYSTEM 有权
    消费者决策树生成系统

    公开(公告)号:US20130346352A1

    公开(公告)日:2013-12-26

    申请号:US13529460

    申请日:2012-06-21

    IPC分类号: G06N5/02

    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。