公开(公告)号：US20150127419A1

公开(公告)日：2015-05-07

申请号：US14070871

申请日：2013-11-04

Applicant: Oracle International Corporation

Inventor： Sandeep TIWARI ,  Su-Ming WU

IPC: G06Q30/02 ,  G06F17/30

CPC classification number: G06Q30/0201 ,  G06F16/24578

Abstract: A system that generates an item-to-item similarity for a category that includes a plurality of products receives attribute values for each product in the category and product-store-week sales units for each product in the category. The system estimates attribute weights. The system then determines the item-to-item similarity as a weighted attribute match score.

Abstract translation: 为包括多个产品的类别生成项目到项目相似性的系统接收类别中的每个产品的类别和产品 - 商店周销售单元中的每个产品的属性值。 系统估计属性权重。 然后，系统将项目到项目相似性确定为加权属性匹配分数。

公开(公告)号：US20150100554A1

公开(公告)日：2015-04-09

申请号：US14068285

申请日：2013-10-31

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Z. Maria WANG ,  Su-Ming WU

IPC: G06F17/30

CPC classification number: G06F16/215 ,  G06F16/2246 ,  G06F16/9027

Abstract: Systems, methods, and other embodiments associated with attribute redundancy removal are described. In one embodiment, a method includes identifying redundant attribute values in a group of attributes that describe two items. The example method also includes generating a pruned group of attributes having the redundant attribute values removed. The similarity of the two items is calculated based, at least in part, on the pruned group of attribute values.

Abstract translation: 描述与属性冗余删除相关联的系统，方法和其他实施例。 在一个实施例中，一种方法包括识别描述两个项目的一组属性中的冗余属性值。 该示例方法还包括生成具有删除冗余属性值的已修剪的属性组。 至少部分地基于修剪的属性值组来计算两个项目的相似性。

公开(公告)号：US20130211878A1

公开(公告)日：2013-08-15

申请号：US13686138

申请日：2012-11-27

Applicant: Oracle International Corporation

Inventor： Alex KUSHKULEY ,  Su-Ming WU

IPC: G06Q30/02

CPC classification number: G06Q30/0202 ,  G06Q30/0206

Abstract: A system that estimates elasticity and inventory effect for a product pricing or forecasting system receives a sales condition relationship for an item at a store, the relationship comprising an elasticity parameter, an inventory effect parameter and a sales constant. The system receives a demand model for sales of the item in terms of the elasticity parameter and the inventory effect parameter and a base demand for the item selling at the store. The system estimates the sales constant, the estimating comprising generating a theta parameter by taking logarithms of the sales condition relationship. The system uses linear regression to estimate a logarithm of the sales constant and a value of the theta parameter. The system determines a relationship between the elasticity parameter and the inventory effect parameter based on the value of the theta parameter.

Abstract translation: 估计产品定价或预测系统的弹性和库存效应的系统接收商店中的商品的销售条件关系，所述关系包括弹性参数，库存效应参数和销售常数。 系统根据弹性参数和库存效应参数接收用于销售物品的需求模型，以及在商店销售商品的基本需求。 该系统估计销售常数，该估计包括通过采用销售条件关系的对数来生成θ参数。 系统使用线性回归来估计销售常数的对数和θ参数的值。 系统根据θ参数的值确定弹性参数与库存效应参数之间的关系。

公开(公告)号：US20130211877A1

公开(公告)日：2013-08-15

申请号：US13645722

申请日：2012-10-05

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Alex KUSHKULEY ,  Su-Ming WU

IPC: G06Q30/02

CPC classification number: G06Q30/0202 ,  G06Q30/0206

Abstract: A system that determines a pricing markdown schedule for a retail item at a store receives demand parameters of the retail item at the store and one or more constraints, and expresses a price curve and inventory curve as linear combinations of price and inventory coefficients for orthogonal polynomials. The system determines revenue in terms of values of the price and inventory coefficients, determines an initial guess of the price and inventory coefficients, and determines a gradient of the revenue. The system then maximizes the revenue based on the revenue, the initial guesses, the gradient, and the constraints, where the constraints are in terms of the price and inventory coefficients. Based on the maximized revenue, the system then generates the price markdown schedule.

Abstract translation: 确定商店零售商品的定价降价计划的系统接收商店零售商品的需求参数和一个或多个约束，并将价格曲线和库存曲线表示为正交多项式的价格和库存系数的线性组合 。 系统根据价格和库存系数的价值确定收入，确定价格和库存系数的初步猜测，并确定收入的梯度。 然后，系统会根据收入，初始猜测，渐变和限制来最大化收入，其中限制在价格和库存系数方面。 根据收入的最大化，系统生成降价计划。

公开(公告)号：US20220284386A1

公开(公告)日：2022-09-08

申请号：US17825334

申请日：2022-05-26

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Su-Ming WU ,  Kiran PANCHAMGAM ,  Bernard GRIFFITHS

IPC: G06Q10/08

Abstract: One example of computerized inventory redistribution control includes, for each location inventory record in a set of location inventory records, calculating a quantity change that will bring a current item quantity to a different item quantity for the location inventory record. Determining a cost of a minimum-cost redistribution among the physical locations to effect the quantity changes. Determining a scaling factor that maximizes total revenue when the quantity changes are scaled by the scaling factor after deducting the cost scaled by the scaling factor. Generating transfer instructions for a redistribution of the item by scaling the transfer quantities of the minimum-cost redistribution by the scaling factor. Transmitting each transfer instruction to a computing device associated with a physical location indicated in the transfer instruction.

公开(公告)号：US20220101373A1

公开(公告)日：2022-03-31

申请号：US17550281

申请日：2021-12-14

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Su-Ming WU ,  Mark E. FERGUSON ,  Olga PAK ,  Olga PERDIKAKI

IPC: G06Q30/02 ,  G06F16/24 ,  G06Q30/00 ,  G06Q10/06

Abstract: Systems, methods, and other embodiments associated with computing and generating schedule data structures for items in a display are described. In one embodiment, a method includes accessing a sales data structure corresponding to a store and analyzing sales records for items associated with subcategories to calculate a subcategory profit contribution score for each subcategory. The method may also include selecting a first subcategory from the subcategories as a candidate subcategory of items and analyzing the sales records to calculate an item profit contribution score for each of the items assigned to the candidate subcategory. A first item is selected from the candidate subcategory to be placed on a promotional display space, based upon the item profit contribution score of the first item. A schedule data structure is generated that assigns the first item to the promotional display space.

公开(公告)号：US20190318410A1

公开(公告)日：2019-10-17

申请号：US15955054

申请日：2018-04-17

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Sajad MODARESI ,  Fernando BERNSTEIN ,  Denis SAURE ,  Setareh Borjian BOROUJENI ,  Su-Ming WU ,  Robert CORR ,  Nikos NIKOLAKIS

IPC: G06Q30/06 ,  G06N99/00

Abstract: Embodiments provide a recommendation for an additional item in response to receiving a basket of goods determine a type for the basket of goods from a set of basket types, receive a set of additional targeted items as target recommendations and receive a history of received types of baskets of goods. Embodiments iteratively perform a clustering into a plurality of clusters of each of the basket types based on the history of received types of baskets of goods, and preference updating for each of the targeted items into each of the plurality of clusters. The iteratively performing, after a plurality of iterations, outputs a sequence of mappings and a sequence of preference parameters. Embodiments generate a frequency of tabulation of mappings from the sequence of mappings and then generate the recommendation based on the sequence of mappings, the sequence of preference parameters and the frequency of tabulation of mappings.

公开(公告)号：US20190122176A1

公开(公告)日：2019-04-25

申请号：US16167900

申请日：2018-10-23

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Su-Ming WU ,  Andrew VAKHUTINSKY

IPC: G06Q10/08 ,  G06Q30/02

Abstract: Systems, methods, and other embodiments associated with controlling inventory depletion by offering different prices to different customers are described. In one embodiment, a method includes establishing first and second allocations of fulfillment centers to different geographic regions during a markdown phase. Different price schedules are determined for the orders to be fulfilled during the markdown phase based on the first and second allocations. A predicted profit is generated for the orders fulfilled under each of the different price schedules. A price schedule corresponding to the first allocation is selected as resulting in a greater predicted profit than another one of the different price schedules. A sale terminal is controlled to enact the selected price schedule during the markdown phase to cause fulfillment of the incoming orders according to the first allocation of the fulfillment centers.

公开(公告)号：US20170200172A1

公开(公告)日：2017-07-13

申请号：US14990834

申请日：2016-01-08

Applicant: Oracle International Corporation

Inventor： Su-Ming WU ,  John SHIN ,  Kiran Venkata PANCHAMGAM

IPC: G06Q30/02 ,  G06N5/02 ,  G06Q10/06

CPC classification number: G06Q30/0201 ,  G06N5/003 ,  G06N5/02 ,  G06Q10/067

Abstract: A system that generates a consumer decision tree receives retail item transactional sales data. The system aggregates the sales data to an item/store/time duration level and aggregates the sales data to an attribute-value/store/time duration level. The system determines sales shares for the time duration and determines similarities for attribute-value pairs based on correlations between attribute-value pairs. The system then determines a most significant attribute based on the determined similarities.

公开(公告)号：US20170200104A1

公开(公告)日：2017-07-13

申请号：US14989932

申请日：2016-01-07

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Aswin KANNAN ,  Kiran PANCHAMGAM ,  Su-Ming WU

IPC: G06Q10/06 ,  G06Q30/02 ,  G06Q10/08

CPC classification number: G06Q10/06315 ,  G06Q10/087 ,  G06Q30/0201 ,  G06Q30/0206 ,  G06Q30/0223 ,  G06Q30/0235 ,  G06Q30/0283

Abstract: Systems, methods, and other embodiments associated with generating a price schedule are described. A inventory quantity for the item is allocated amongst a plurality of customer segments based at least on a predicted contribution of each customer segment to the objective function. For each customer segment, based at least on a quantity of inventory allocated to the customer segment, a promotion portion of the price schedule is determined that maximizes the objective function. A quantity of remaining inventory allocated to the plurality of customer segments at the end of the regular season is aggregated. Based at least on the aggregated inventory, a markdown portion of the price schedule for the item is determined that maximizes the objective function. The promotion portion and the markdown portion are combined to create a price schedule for the item.