公开(公告)号：US20140025420A1

公开(公告)日：2014-01-23

申请号：US13944566

申请日：2013-07-17

Applicant: Infosys Limited

Inventor： Dinesh Govind Joshi ,  Subhashis Nath ,  Vinoop Aradhya ,  Nagaraj Vijaya Kumar ,  Mahesh Huyilalu Shivaram ,  Anupam Kulshreshtha

IPC: G06Q10/06

CPC classification number: G06Q10/06313 ,  G06Q10/04 ,  G06Q10/08

Abstract: Techniques and tools are described for determining optimal product assortments and optimal planograms using a hybrid binary multi-dimensional knapsack representation. An optimal product assortment and an optimal planogram can be determined by receiving one or more objectives, receiving one or more constraints, receiving dimensions and hierarchies, transforming the dimensions and hierarchies into structural graphs of s-cells, generating a dynamic model using, at least in part, the one or more objectives, performing an optimization run using the dynamic model, and outputting results of the optimization run. An optimal product assortment and an optimal planogram can also be determined by receiving product attributes for a set of products, receiving avatar information, receiving one or more objectives and constraints, generating a dynamic model using, performing an optimization run using the dynamic model, and outputting results of the optimization run.

Abstract translation: 描述了使用混合二进制多维背包表示来确定最优产品分类和最优平面图的技术和工具。 可以通过接收一个或多个目标，接收一个或多个约束，接收维度和层次结构，将维度和层次结构变换成s-单元的结构图来确定最优产品分类和最佳平面图，至少使用至少 部分地，一个或多个目标，使用动态模型执行优化运行，并输出优化运行的结果。 也可以通过接收一组产品的接收产品属性，接收化身信息，接收一个或多个目标和约束，使用动态模型进行优化运行生成动态模型来确定最优产品分类和最优平面图;以及 输出优化运行的结果。

公开(公告)号：US11151293B2

公开(公告)日：2021-10-19

申请号：US15927707

申请日：2018-03-21

Applicant: Infosys Limited

Inventor： Subhashis Nath

IPC: G06F30/20 ,  G06F111/10

Abstract: A method and system for analyzing data based on a statistical model, wherein the statistical model is used in one or more contexts without needing intervention of data scientists. This statistical model is parameterized and uploaded in an analytics platform. Parameterizing the statistical model enables end users to select scope, constraints and variables of data analysis. Acceptance indicator of this tool indicates reliability of the model on user selected scope, constraints and variables. Based on user selections, a dynamic table is created which is an input to the statistical model for data analysis. Based on values of this dynamic table, data analysis is performed on stored data on the specific context. The report id generated based on the data analysis which is presented to user as visual output.

公开(公告)号：US20190188341A1

公开(公告)日：2019-06-20

申请号：US15927707

申请日：2018-03-21

Applicant: Infosys Limited

Inventor： Subhashis Nath

IPC: G06F17/50

CPC classification number: G06F17/5009 ,  G06F2217/16

Abstract: The present technique discloses a method and system for analyzing data based on a statistical model, wherein the statistical model is used in one or more contexts without needing intervention of data scientists. This statistical model is parameterized and uploaded in an analytics platform. Parameterizing the statistical model enables end users to select scope, constraints and variables of data analysis. Acceptance indicator of this tool indicates reliability of the model on user selected scope, constraints and variables. Based on user selections, a dynamic table is created which is an input to the statistical model for data analysis. Based on values of this dynamic table, data analysis is performed on stored data on the specific context. The report id generated based on the data analysis which is presented to user as visual output.