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    • 1. 发明授权
    • Selective merchandise price optimization mechanism
    • 选择性商品价格优化机制
    • US07249032B1
    • 2007-07-24
    • US09999078
    • 2001-11-30
    • John ClosePhil DelurgioHau LeeMichael NealRob ParkinSuzanne ValentineKrishna Venkatraman
    • John ClosePhil DelurgioHau LeeMichael NealRob ParkinSuzanne ValentineKrishna Venkatraman
    • G06Q99/00G06F17/30G06F17/00G06G7/00
    • G06Q30/06G06Q20/201G06Q30/0283
    • A method for optimizing the prices of products for sale. The method includes utilizing a computer-based scenario/results processor within an optimization server to present a sequence of data entry templates to a user, whereby the user specifies an optimization scenario, and whereby the user is enabled to prescribed and prioritize rules for the optimization scenario; within the optimization server, optimizing the prices according to market demand for the products and demand chain costs for the products; and generating a plurality of optimization results templates and providing these templates to the user, wherein the optimum prices are presented. The optimizing includes estimating the market demand and calculating the demand chain costs for the products; selectively limiting the number of prices that are optimized by said optimizing; and, up to a limit, progressively relaxing lower priority rules that contribute to a conflict in order to render the optimizing feasible.
    • 一种优化销售产品价格的方法。 该方法包括利用优化服务器内的基于计算机的场景/结果处理器向用户呈现数据输入模板序列,由此用户指定优化场景,并且由此使得用户能够规定优先级以优化优化规则 情景; 在优化服务器内,根据产品的市场需求和产品的需求链成本优化价格; 以及生成多个优化结果模板并将这些模板提供给用户,其中呈现最优价格。 优化包括估算市场需求并计算产品的需求链成本; 选择性地限制由所述优化优化的价格数量; 并且达到极限,逐渐放宽有助于冲突的低优先级规则,以使优化可行。
    • 2. 发明授权
    • Interface for merchandise price optimization
    • 商品价格优化接口
    • US07240019B2
    • 2007-07-03
    • US10144537
    • 2002-05-10
    • Phil DelurgioMichael Neal
    • Phil DelurgioMichael Neal
    • G06F17/30
    • G06Q10/04G06Q10/0639G06Q20/201G06Q30/0202G06Q30/0206G06Q30/0283
    • An apparatus is provided for an interface enabling a user to determine optimum prices of products for sale. The interface includes a scenario/results processor that enables the user to prescribe an optimization scenario, and that presents the optimum prices to the user. The optimum prices are determined by execution of the optimization scenario, where the optimum prices are determined based upon estimated product demand and calculated activity based costs. The scenario/results processor has an input/output processor and a scenario controller. The input/output processor acquires data corresponding to the optimization scenario from the user, and distributes optimization results to the user, where the data includes activity based cost data. The scenario controller is coupled to the input/output processor. The scenario controller controls acquisition of the data and the distribution of the optimization results in accordance with a price optimization procedure.
    • 提供了一种用于允许用户确定要出售的产品的最优价格的界面的装置。 该界面包括一个场景/结果处理器,使得用户能够规定优化方案,并向用户呈现最优价格。 最优价格是通过执行优化方案来确定的,其中最优价格是根据估计的产品需求和计算的活动成本确定的。 场景/结果处理器具有输入/输出处理器和场景控制器。 输入/输出处理器从用户获取与优化场景对应的数据,并将优化结果分发给用户,其中数据包括基于活动的成本数据。 场景控制器耦合到输入/输出处理器。 情景控制器根据价格优化程序控制数据的获取和优化结果的分配。
    • 3. 发明授权
    • Apparatus for merchandise promotion optimization
    • 商品促销优化设备
    • US07130811B1
    • 2006-10-31
    • US09849621
    • 2001-05-05
    • Phil DelurgioHua LeeMichael NealRob ParkinSuzanne ValentineKrishna Venkatraman
    • Phil DelurgioHua LeeMichael NealRob ParkinSuzanne ValentineKrishna Venkatraman
    • G06Q99/00
    • G06Q30/02G06Q10/0637G06Q10/06375G06Q30/0201G06Q30/0244G06Q30/0283
    • Apparatus and method for determining an optimum promotion plan for merchandising of products for sale. A scenario/results processor enables a user to prescribe an optimization scenario, and presents the optimum promotion plan to the user, where the optimum promotion plan is determined by execution of the optimization scenario. The demand engine models relationships between potential prices of the products and market demand for the products, where the potential prices correspond to potential promotion events and potential supplier offers. The activity based cost engine estimates demand chain costs for the products based upon the market demand. The promotion optimization engine employs the market demand and the demand chain costs to determine the optimum promotion plan, where the optimum promotion plan maximizes a merchandising performance figure of merit according to the optimization scenario, and where the optimum promotion plan comprises a subset of the promotion events and potential supplier offers.
    • 用于确定销售产品销售最佳促销计划的装置和方法。 场景/结果处理器使用户能够规定优化场景,并向用户呈现最佳促销计划,其中通过执行优化场景来确定最佳促销计划。 需求引擎模拟产品的潜在价格与产品的市场需求之间的关系,潜在价格对应于潜在的促销活动和潜在的供应商报价。 基于活动的成本引擎根据市场需求估算产品的需求链成本。 促销优化引擎采用市场需求和需求链成本来确定最佳促销计划,其中最佳促销计划根据优化方案最大限度地提高商品销售性能品质因数,以及最佳促销计划包括促销的一小部分 事件和潜在的供应商报价。
    • 5. 发明授权
    • System and method for forecasting price optimization benefits in retail stores utilizing back-casting and decomposition analysis
    • 利用背投和分解分析预测零售商店价格优化效益的系统和方法
    • US08140381B1
    • 2012-03-20
    • US11858526
    • 2007-09-20
    • Howard Yihzan WuSean KervinJason Lee GunninkSuzanne Noel ValentineParitosh Desai
    • Howard Yihzan WuSean KervinJason Lee GunninkSuzanne Noel ValentineParitosh Desai
    • G06Q10/00
    • G06Q30/02G06Q30/0206
    • A system and method for merchandising decomposition analysis (MDA), useful with stores, is provided. Econometric models are generated for product sales and are used to set pricing. Price setting may include optimizing prices. Point of sales data is collected from the stores, and benefits forecasts are generated and displayed. Benefit forecasts includes generating compliance, generating optimization benefit and generating level benefits. Generating optimization benefit includes at least one of differential benefit analysis, authorized benefit analysis and testable benefit analysis. The differential benefit analysis includes old/new cost method, cost neutral method and ignore cost method. Benefit forecasts generally include determining pre- and post-optimization price of the products, determining pre- and post-optimization costs, generating pre- and post-optimization forecasted units, calculating forecasted pre- and post-optimization profit, generate raw profit benefit, and calibrate raw profit benefit.
    • 提供了一种用于商店销售分解分析(MDA)的系统和方法,可用于商店。 生成计量经济学模型用于产品销售,并用于设定定价。 价格设定可能包括优化价格。 从商店收集销售点数据,并生成并显示利益预测。 利益预测包括产生合规性,产生优化效益和产生水平利益。 产生优化效益包括差别效益分析,授权收益分析和可测试效益分析中的至少一项。 差异效益分析包括旧的/新的成本法,成本中性法和忽略成本法。 利益预测通常包括确定产品的优先价格和优化后价格,确定优化前后成本,生成优化后优化预测单位,计算预计优化后优化利润,产生原始利润, 并校准原始利润。
    • 6. 发明申请
    • Selective merchandise price optimization
    • 选择商品价格优化
    • US20060195345A1
    • 2006-08-31
    • US09994465
    • 2001-11-26
    • John ClosePhil DelurgioMichael Neal
    • John ClosePhil DelurgioMichael Neal
    • G06F9/44G06F17/00
    • G06Q10/04G06Q10/0639G06Q20/201G06Q30/0202G06Q30/0206G06Q30/0283
    • An interface that enables a user to determine optimum prices of products for sale. The interface includes a scenario/results processor through which the user prescribes an optimization scenario, and through which optimum prices are presented to the user. The optimum prices are determined by execution of the optimization scenario, where the optimum prices are determined based upon estimated product demand and calculated activity based costs. The scenario/results processor has an input/output processor and a scenario controller. The input/output processor acquires data corresponding to the optimization scenario from the user, and distributes optimization results to the user. The scenario controller is coupled to the input/output processor. The scenario controller controls acquisition of the data and the distribution of the optimization results in accordance with a price optimization procedure. The price optimization procedure is configured to relax constraints of lower priority conflicting rules to render the optimization scenario feasible.
    • 允许用户确定要出售的产品的最优价格的界面。 该接口包括一个场景/结果处理器,用户通过该方案/结果处理器规定了优化场景,并向用户呈现最优价格。 最优价格是通过执行优化方案来确定的,其中最优价格是根据估计的产品需求和计算的活动成本确定的。 场景/结果处理器具有输入/输出处理器和场景控制器。 输入/输出处理器从用户获取与优化场景对应的数据,并将优化结果分发给用户。 场景控制器耦合到输入/输出处理器。 情景控制器根据价格优化程序控制数据的获取和优化结果的分配。 价格优化过程被配置为放松较低优先级冲突规则的约束,以使优化方案可行。
    • 7. 发明授权
    • Apparatus for merchandise price optimization
    • 商品价格优化设备
    • US07092918B1
    • 2006-08-15
    • US09849168
    • 2001-05-04
    • Phil DelurgioHua LeeMichael NealSuzanne ValentineKrishna Venkatraman
    • Phil DelurgioHua LeeMichael NealSuzanne ValentineKrishna Venkatraman
    • G06F17/00
    • G06Q30/06G06Q30/0206G06Q30/0283
    • A technique for determining optimum prices of products. The apparatus includes a scenario/results processor, a demand engine, an activity based cost engine, and a price optimization engine. The scenario/results processor enables a user to prescribe an optimization scenario, and presents the optimum prices to the user, where the optimum prices are determined by execution of the optimization scenario. The demand engine models relationships between potential prices of the products and market demand for the products. The activity based cost engine estimates costs for the products based upon market demand. The price optimization engine employs the market demand and the demand chain costs to determine the optimum prices, where the optimum prices are a subset of the potential prices, and where the optimum prices maximize a merchandising performance figure of merit according to the optimization scenario.
    • 确定产品最优价格的技术。 该装置包括场景/结果处理器,需求引擎,基于活动的成本引擎和价格优化引擎。 场景/结果处理器使得用户能够规定优化场景,并向用户呈现最优价格,其中通过优化场景的执行来确定最优价格。 需求引擎模拟产品潜在价格与产品市场需求之间的关系。 基于活动的成本引擎根据市场需求估算产品的成本。 价格优化引擎采用市场需求和需求链成本来确定最优价格,其中最优价格是潜在价格的一个子集,以及根据优化方案,最优价格最大化商品销售业绩品质因数。