Patents by Inventor Arun Hampapur

Arun Hampapur has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10296932
    Abstract: A method is provided for selecting eligible nodes and item assignments to those nodes for fulfillment based on satisfaction of a reward constraint and fulfillment cost. This method includes several steps, including determining by a computer processor of the fulfillment engine whether each of the plurality of assignments to the plurality of nodes satisfies a reward constraint based on a first customer loyalty reward level of the plurality of customer loyalty reward levels, identifying by a computer processor of the fulfillment engine one or more satisfactory assignments to nodes by identifying which of the one or more assignments is both associated with an order fulfillment cost that is less than the maximum fulfillment cost and satisfies the reward constraint and automatically generating by a computer processor of the fulfillment engine a node order assignment assigning the current order to the one or more satisfactory nodes.
    Type: Grant
    Filed: May 12, 2016
    Date of Patent: May 21, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Ajay A. Deshpande, Arun Hampapur, Ali Koc, Yingjie Li, Xuan Liu, Brian L. Quanz, Dahai Xing
  • Patent number: 10088335
    Abstract: A method, system and computer program product for detecting anomalies in a metering system. In one embodiment, data representing usage of a defined commodity are collected from meters, and the data collected over a given time period are analyzed to identify any of the meters showing at least one defined type of anomalous usage pattern. For each of the meters showing an anomalous usage patterns, an anomaly score is determined for the usage pattern shown, and the anomaly scores are used to rank the meters. In one embodiment, the collected data are analyzed to identify any of the meters showing one or more of a group of types of anomalous patterns including meter-no-reading, meter-by-pass, and meter-silting patterns. Embodiments of the invention utilize time series techniques and data analysis on meter reading data. Further, embodiments of the invention require no additional installation of equipment or sensors.
    Type: Grant
    Filed: April 13, 2012
    Date of Patent: October 2, 2018
    Assignee: International Business Machines Corporation
    Inventors: Arun Hampapur, Zhong Bo Jiang, Hongfei Li, Shilpa N. Mahatma
  • Patent number: 10078693
    Abstract: A data indexing system and method includes acquiring activity data in a context and indexing the activity data in accordance with contextual conditions. The activity data is stored in accordance with indices. An event is correlated with the activity data by using the indices to review the activity data in the context.
    Type: Grant
    Filed: June 16, 2006
    Date of Patent: September 18, 2018
    Assignee: International Business Machines Corporation
    Inventors: Lisa Marie Brown, Arun Hampapur, Zuoxuan Lu, Sharathchandra U. Pankanti, Andrew William Senior, Chiao-Fe Shu, Ying-Li Tian
  • Patent number: 10074066
    Abstract: A method, system and computer program product for managing an order in an Omni-channel order fulfillment system is disclosed. A stock-keeping unit (SKU) node level cost is predicted for a plurality of SKUs. The order is received containing one or more SKUs. A candidate list of fulfillment nodes is determined for fulfilling each of the one or more SKUs in the order using the predicted SKU node level cost and a fulfillment node-destination shipping distance. One or more fulfillment nodes are selected from the candidate list, and the order is fulfilled using the selected one or more fulfillment nodes.
    Type: Grant
    Filed: February 8, 2016
    Date of Patent: September 11, 2018
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Ajay A. Deshpande, Saurabh Gupta, Arun Hampapur, Alan J. King, Ali Koc, Pradyumnha G. Kowlani, Yingjie Li, Ding Ding Lin, Xuan Liu, Christopher Milite, Brian L. Quanz, Chek Keong Tan, Dahai Xing, Xiao Bo Zheng
  • Publication number: 20180158008
    Abstract: A method for enhancing on-premise order management systems (OMS) designed for fulfillment transactions with analytic and optimization technologies and services hosted in a shared multi-tenant software-as-a-service (SaaS) environment, such as a hybrid cloud. The computer-implemented method improves an order management system by leveraging a “punch-out” approach based on user exits to integrate with and augment currently implemented order management processing and transaction flows. Using the hybrid cloud, an entity may retain data such as its accumulated business, sales, test and other data, and then run analytical queries, which can scale to support distributed computing tasks. A framework adaptor/connector is leveraged by the OMS to provide a web client for communicating with and integrating to the SaaS analytics runtime environment, encapsulating all necessary connection pooling, security, and data marshaling complexity away from the order management system to meet strict service response time windows.
    Type: Application
    Filed: November 30, 2017
    Publication date: June 7, 2018
    Inventors: Ajay A. Deshpande, Saurabh Gupta, Arun Hampapur, Ali Koc, Yingjie Li, Xuan Liu, Christopher Milite, Brian L. Quanz, Chek Keong Tan, Dahai Xing, Xiaobo Zheng
  • Publication number: 20180082355
    Abstract: A method for continuously tracking business performance impact of order sourcing systems and algorithms that decide how ecommerce orders should be fulfilled by assigning the items of the order to nodes in a fulfillment network such as stores, distribution centers, and third party logistics—to provide automatic root cause analysis and solution recommendations to pre-defined business problems arising from KPI monitoring. A Business Intelligence (BI) dashboard architecture operates with: 1) a monitoring module that continuously monitors business KPIs and creates abnormality alerts; and 2) a root cause analysis module that is designed specifically for each business problem to give real time diagnosis and solution recommendation. The root cause analysis module receives the created alert, and triggers conducting a root cause analysis at an analytics engine. The BI dashboard and user interface enables visualization of the KPI performance and root cause analysis results.
    Type: Application
    Filed: November 30, 2017
    Publication date: March 22, 2018
    Inventors: Shyh-Kwei Chen, Ajay A. Deshpande, Saurabh Gupta, Arun Hampapur, Ali Koc, Yingjie Li, Dingding Lin, Xuan Liu, Christopher S. Milite, Brian L. Quanz, Chek Keong Tan, Dahai Xing, Xiaobo Zheng
  • Patent number: 9883193
    Abstract: An approach for generating a coding schema for identifying a spatial location of an event within video image data is provided. In one embodiment, there is a spatial representation tool, including a compression component configured to receive trajectory data of a trajectory of an object for an event within video image data; generate a lossless compressed contour-coded blob to encode the trajectory data of the trajectory of the object for the event within video image data; generate a lossy searchable code of the trajectory of the object for the event within the video image data; convert a region of interest within the video image data to a lossy query code, the region of interest corresponding to a sub-section of a visual display output of the video image data; and compare the lossy query code to the lossy searchable code within a relational database to identify a corresponding lossless trajectory data of the trajectory of the object for the event within the video image data.
    Type: Grant
    Filed: May 3, 2016
    Date of Patent: January 30, 2018
    Assignee: International Business Machines Corporation
    Inventors: Michael J. Desimone, Arun Hampapur, Zuoxuan Lu, Carl P. Mercier, Christopher S. Milite, Stephen R. Russo, Chiao-Fe Shu, Chek K. Tan
  • Publication number: 20170330123
    Abstract: A method and system determining an inventory threshold for offering for online sale or an inventory threshold for sourcing in node order assignment. The method includes receiving by a computer processor of a probabilistic cancellation module an electronic record of a current order or item. The program instructions executed by the processor of the probabilistic cancellation module allows the module to retrieve historical and current data of each node from a plurality of nodes. The method then includes automatically converting the retrieved historical data into a probability of cancellation of an item comprising the one or more items from the plurality of items. Further, the method includes identifying an inventory threshold for offering of an item or an inventory threshold for sourcing of one or more items of the current order, where the probability of item cancellation is lower than a predetermined order cancelation rate of the one or more items from the plurality of items.
    Type: Application
    Filed: May 10, 2016
    Publication date: November 16, 2017
    Inventors: Ajay A. Deshpande, Arun Hampapur, Ali Koc, Yingjie Li, Xuan Liu, Brian L. Quanz, Dahai Xing
  • Publication number: 20170330259
    Abstract: The present disclosure relates generally to the field of product supply networks (e.g., for order fulfillment and inventory control). In one specific example, mechanisms are provided for presenting visualizations to aid in co-locating two or more products in the same location (e.g., at a common order fulfillment facility) based upon associations between the products. In various embodiments, systems, methods and computer program products are provided.
    Type: Application
    Filed: May 13, 2016
    Publication date: November 16, 2017
    Inventors: Ajay A. DESHPANDE, Hongliang FEI, Arun HAMPAPUR, Xuan LIU
  • Publication number: 20170330266
    Abstract: A method is provided for determining an order fulfillment by a simplified fulfillment deciding engine or a full fulfillment deciding engine. This method includes several steps, including determining whether the number of nodes considered in making the fulfillment order decision of the current order can be a second number of node decisions, automatically transmitting the current order to one of a simplified fulfillment deciding engine and the full fulfillment deciding engine, the simplified fulfillment deciding engine considering the second number of node decisions in making the fulfillment order decision, wherein the current order is transmitted to the simplified fulfillment deciding engine when the number of node decisions is equal to the second number of node decisions.
    Type: Application
    Filed: May 13, 2016
    Publication date: November 16, 2017
    Inventors: Ajay A. Deshpande, Arun Hampapur, Xuan Liu, Brian L. Quanz, Dahai Xing
  • Publication number: 20170330124
    Abstract: Causal performance analysis for store merchandising may be provided. A clustering technique may be performed based on target store location data and existing store data. Based on the clustering technique, a peer selection group is determined comprising a group of stores determined to have similar attributes to the target store location. Sales distortions for a plurality of divisions associated with the group of stores in the peer selection group may be determined. A distortion matrix may be generated comprising a ranked list of the plurality of divisions. A merchandise mix recommendation for the target store location may be presented via a user interface device.
    Type: Application
    Filed: October 26, 2016
    Publication date: November 16, 2017
    Inventors: Ajay A. Deshpande, Hongliang Fei, Arun Hampapur, Hongfei Li, Xuan Liu
  • Publication number: 20170330211
    Abstract: A method and computer readable medium for selecting order fulfillment nodes within an order fulfillment system. The method determines one or more product-node pairs of an omni-channel order fulfillment system responsive to a received customer order. There is received for each determined product-node pair, a first input including an associated price and a price markdown rate (r) for the product. There is further received for each product-node pair, input representing a current amount of supply availability of the product (w) for a period of time in an inventory; and a first threshold value and a second threshold values defining a supply availability window of the product. The method computes an inventory performance value based on the current w, the defined supply availability window, and one or more the p and r values; and selects a node for customer order fulfillment based on the computed cost of inventory performance value.
    Type: Application
    Filed: May 13, 2016
    Publication date: November 16, 2017
    Inventors: Ajay Deshpande, Saurabh Gupta, Arun Hampapur, Alan King, Ali Koc, Yingjie Li, Xuan Liu, Christopher Milite, Brian L. Quanz, Chek Keong Tan, Dahai Xing, Xiaobo Zheng
  • Publication number: 20170330218
    Abstract: A method is provided for selecting eligible nodes and item assignments to those nodes for fulfillment based on satisfaction of a reward constraint and fulfillment cost. This method includes several steps, including determining by a computer processor of the fulfillment engine whether each of the plurality of assignments to the plurality of nodes satisfies a reward constraint based on a first customer loyalty reward level of the plurality of customer loyalty reward levels, identifying by a computer processor of the fulfillment engine one or more satisfactory assignments to nodes by identifying which of the one or more assignments is both associated with an order fulfillment cost that is less than the maximum fulfillment cost and satisfies the reward constraint and automatically generating by a computer processor of the fulfillment engine a node order assignment assigning the current order to the one or more satisfactory nodes.
    Type: Application
    Filed: May 12, 2016
    Publication date: November 16, 2017
    Inventors: Ajay A. Deshpande, Arun Hampapur, Ali Koc, Yingjie Li, Xuan Liu, Brian L. Quanz, Dahai Xing
  • Publication number: 20170286899
    Abstract: Examples of techniques for generating an inter-store inventory transfer are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method may include defining a subset of stores of a plurality of stores to fulfill inter-store inventory transfer request for a product category of a plurality of product categories. The method may further include, responsive to determining that an order for a product of the product category cannot be fulfilled by one of the stores of the subset of stores of the plurality of stores, determining, by a processing device, an alternate store of the subset of stores to fulfill the order.
    Type: Application
    Filed: April 5, 2016
    Publication date: October 5, 2017
    Inventors: Ajay A. Deshpande, Arun Hampapur, Yingjie Li, Ding Ding Lin, Xuan Liu, Dahai Xing, Xiao Bo Zheng
  • Publication number: 20170278173
    Abstract: An aspect of the disclosure includes a method, a system and a computer program product for determining a personalized bundle offer for a consumer. The method includes determining an interest in an initial product by a consumer. A demand group is identified based on the initial product. A purchase probability is determined for the consumer to purchase the product. An inventory expected profit-to-go is determined for the product. At least one additional product from the demand group is determined based at least in part on the purchase probability and the inventory expected profit-to-go, the expected profit to go being based on a current inventory state of the product and the at least one additional product. A signal is transmitted to the consumer, the signal including at least one additional product and a price for a bundle containing both the product of interest and the at least one additional product.
    Type: Application
    Filed: March 25, 2016
    Publication date: September 28, 2017
    Inventors: Markus R. Ettl, Arun Hampapur, Pavithra Harsha, Anna M. Papush, Georgia Perakis
  • Patent number: 9764746
    Abstract: Geo-defect repair modeling is provided. A method includes logically dividing a railroad network according to spatial and temporal dimensions with respect to historical data collected. The spatial dimensions include line segments of a specified length and the temporal dimensions include inspection run data for inspections performed for each of the line segments over a period of time. The method also includes creating a track deterioration model from the historical data, identifying geo-defects occurring at each inspection run from the track deterioration model, calculating a track deterioration condition from the track deterioration model by analyzing quantified changes in the geo-defects measured at each inspection run, and calculating a derailment risk based on track conditions determined from the inspection run data and the track deterioration condition.
    Type: Grant
    Filed: August 8, 2013
    Date of Patent: September 19, 2017
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Debarun Bhattacharjya, Arun Hampapur, Qing He, Hongfei Li, Dhaivat P. Parikh
  • Patent number: 9744978
    Abstract: Geo-defect repair modeling is provided. A method includes logically dividing a railroad network according to spatial and temporal dimensions with respect to historical data collected. The spatial dimensions include line segments of a specified length and the temporal dimensions include inspection run data for inspections performed for each of the line segments over a period of time. The method also includes creating a track deterioration model from the historical data, identifying geo-defects occurring at each inspection run from the track deterioration model, calculating a track deterioration condition from the track deterioration model by analyzing quantified changes in the geo-defects measured at each inspection run, and calculating a derailment risk based on track conditions determined from the inspection run data and the track deterioration condition.
    Type: Grant
    Filed: May 31, 2013
    Date of Patent: August 29, 2017
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Debarun Bhattacharjya, Arun Hampapur, Qing He, Hongfei Li, Dhaivat P. Parikh
  • Publication number: 20170228812
    Abstract: A method and system optimizing source selection of an online order with the lowest fulfillment cost by considering multiple types of parameters, including shipping costs, backlog costs and markdown savings of the order. The method includes obtaining an order from the order retrieval subsystem of the OMS, selecting the candidate sources, and retrieving data from retailers or shipping companies of each selected candidate sources. The system then calculates the costs and savings parameters of the candidate sources from the retrieved data. The system identifies all possible candidate sourcing selections of the order and calculates the total fulfillment cost of each sourcing selection of the order by adding the shipping costs with the backlog costs, and subtracting the markdown savings of all candidate sources in each sourcing selection. The system identifies the optimized sourcing selection of the order with the lowest fulfillment cost and renders the selection to the OMS.
    Type: Application
    Filed: February 8, 2016
    Publication date: August 10, 2017
    Inventors: JoAnn P. Brereton, Ajay A. Deshpande, Hongliang Fei, Arun Hampapur, Miao He, Kimberly D. Hendrix, Steve Igrejas, Alan J. King, Yingjie Li, Xuan Liu, Christopher S. Milite, Jae-Eun Park, Vadiraja S. Ramamurthy, Joline Ann V. Uichanco, Songhua Xing, Xiao Bo Zheng
  • Patent number: 9729834
    Abstract: An invention for identifying a spatial location of an event within video image data is provided. Disclosed are embodiments for detecting an object and obtaining trajectory data of a trajectory of the object within the video image data from a sensor device; converting the trajectory data into a contour-coded compressed image; generating, based on the trajectory data, a searchable code that contains a set of locations traversed by the trajectory of the object within the video image; associating the searchable code with the contour-coded compressed image in a database; and returning, in response to a query having a selected location that corresponds a location of the set of locations in the searchable code, an image of the trajectory data corresponding to the object based on the contour-coded compressed image in the database.
    Type: Grant
    Filed: August 22, 2016
    Date of Patent: August 8, 2017
    Assignee: International Business Machines Corporation
    Inventors: Michael J. Desimone, Arun Hampapur, Zuoxuan Lu, Carl P. Mercier, Christopher S. Milite, Stephen R. Russo, Chiao-Fe Shu, Chek K. Tan
  • Publication number: 20170213174
    Abstract: A system, method and computer program product for enhancing on-premise order management systems (OMS) designed for fulfillment transactions with analytic and optimization technologies and services hosted in a shared multi-tenant software-as-a-service (SaaS) environment, such as a hybrid cloud. The computer-implemented method improves an order management system by leveraging a “punch-out” approach based on user exits to integrate with and augment currently implemented order management processing and transaction flows. Using the hybrid cloud, an entity may retain data such as its accumulated business, sales, test and other data, and then run analytical queries, which can scale to support distributed computing tasks.
    Type: Application
    Filed: January 13, 2017
    Publication date: July 27, 2017
    Inventors: Ajay A. Deshpande, Saurabh Gupta, Arun Hampapur, Ali Koc, Yingjie Li, Xuan Liu, Christopher Milite, Brian L. Quanz, Chek Keong Tan, Dahai Xing, Xiaobo Zheng