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: 11074544
    Abstract: Evaluating node fulfillment capacity in node order assignment by receiving a current order for node order assignment, retrieving data of each node, the retrieved data of each node including current capacity utilization, determining a probability of backlog on an expected ship date of each node, the probability of backlog being based on the retrieved current capacity utilization, determining a capacity utilization cost of each node based on the probability of backlog on the expected ship date, automatically calculating a fulfillment cost of each node of the current order based on the capacity utilization cost, identifying one or more nodes for the current order with the lowest fulfillment cost and automatically generating a node order assignment assigning the current order to one of the one or more nodes with the lowest fulfillment cost.
    Type: Grant
    Filed: June 19, 2019
    Date of Patent: July 27, 2021
    Assignee: International Business Machines Corporation
    Inventors: Ajay A. Deshpande, Saurabh Gupta, Arun Hampapur, Alan J. King, Ali Koc, Yingjie Li, Xuan Liu, Christopher S. Milite, Brian L. Quanz, Chek Keong Tan, Dahai Xing, Xiaobo Zheng
  • Publication number: 20210110332
    Abstract: Staffing is allocated by expressing a risk of violating a service level agreement for a given service line as a function of a number of full-time equivalents allocated to the given service line and a number of service tickets received at the given service line per unit of time per ticket severity level. The number of service tickets are processed by the number of full-time equivalents allocated to the given service line. Risks are summed across a plurality of distinct service lines to generate a total risk. Total risk is minimized by adjusting the number of full time equivalents allocated to each given service line across all services lines subject to a pre-determined reduction in total cost to process all service tickets by the number of full-time equivalents across all service lines and a pre-determined range of a permissible number of full-time equivalents for each service line.
    Type: Application
    Filed: October 15, 2019
    Publication date: April 15, 2021
    Inventors: Ali KOC, Ajay Ashok DESHPANDE, Sampoorna HEGDE, Brian Leo QUANZ, Narahari RAMACHANDRA, Arun HAMPAPUR, Deborah Marie BOLK, Steven LOEHR, Tinniam TINNIAM VENKATARAMAN GANESH, Mohammed EHSANULLA
  • Patent number: 10956850
    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: Grant
    Filed: October 26, 2016
    Date of Patent: March 23, 2021
    Assignee: International Business Machines Corporation
    Inventors: Ajay A. Deshpande, Hongliang Fei, Arun Hampapur, Hongfei Li, Xuan Liu
  • Patent number: 10937084
    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: Grant
    Filed: November 30, 2017
    Date of Patent: March 2, 2021
    Assignee: International Business Machines Corporation
    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: 10915854
    Abstract: A method and system for considering customized capacity utilization cost in node order fulfillment. The method includes receiving by a customized capacity utilization cost module an electronic record of a current order. The method includes retrieving data of a plurality of nodes and calculating an actual capacity utilization. The method includes automatically converting the actual capacity utilization of each node of the plurality of nodes and a predetermined maximum amount of cost to balance capacity utilization across the plurality of nodes into a customized capacity utilization cost, and transmitting the customized capacity utilization cost to an order fulfillment engine. The method includes receiving by the order fulfillment engine the current order, the processing cost data, and the customized capacity utilization cost. The method includes automatically calculating a fulfillment cost and identifying a node-order assignment with the lowest fulfillment cost.
    Type: Grant
    Filed: May 13, 2016
    Date of Patent: February 9, 2021
    Assignee: International Business Machines Corporation
    Inventors: Ajay A. Deshpande, Saurabh Gupta, Arun Hampapur, Alan J. King, Ali Koc, Yingjie Li, Xuan Liu, Christopher S. Milite, Brian L. Quanz, Chek Keong Tan, Dahai Xing, Xiaobo Zheng
  • Patent number: 10902373
    Abstract: The present disclosure relates generally to the field of retail supply networks. In one specific example, mechanisms are provided to model markdown-avoidance savings for omni-channel fulfillment in retail supply networks. In various embodiments, systems, methods and computer program products are provided.
    Type: Grant
    Filed: May 13, 2016
    Date of Patent: January 26, 2021
    Assignee: International Business Machines Corporation
    Inventors: Ajay A. Deshpande, Saurabh Gupta, Arun Hampapur, Alan J. King, Ali Koc, Yingjie Li, Xuan Liu, Christopher S. Milite, Brian L. Quanz, Chek Keong Tan, Dahai Xing, Xiaobo Zheng
  • Patent number: 10839338
    Abstract: A predictive engine on a computer environment comprising a shared pool of configurable computing resources is executed to perform a predictive analysis on data pipelined into the computer environment, the data received from a plurality of sources and in a plurality of different formats, the predictive engine generating a network level cost information based on the predictive analysis on a dynamic and continuous basis. Asynchronous communication comprising the network level cost information from the predictive engine is received and a set of candidate nodes for order fulfillment is generated based on the network level cost information and a defined distance between the set of candidate nodes and a target destination. An optimization engine on the computer environment is invoked that filters the set of candidate nodes. A number of fulfillment nodes that meet one or more of a constraint and preconfigured rule is output.
    Type: Grant
    Filed: May 13, 2016
    Date of Patent: November 17, 2020
    Assignee: International Business Machines Corporation
    Inventors: Sanjay E. Cheeran, Ajay A. Deshpande, Saurabh Gupta, Arun Hampapur, Steve Igrejas, Ali Koc, Pradyumnha G. Kowlani, Yingjie Li, Ding Ding Lin, Xuan Liu, Christopher S. Milite, Brian L. Quanz, Vadiraja S. Ramamurthy, Sachin Sethiya, Chek Keong Tan, Dahai Xing, Michael Yesudas, Xiaobo Zheng
  • Patent number: 10832205
    Abstract: A method and system determining node order fulfillment performance considering cancelation costs. The method includes receiving a current order for fulfillment node assignment and calculating a cancelation ratio of a node of a plurality of nodes by dividing orders canceled due to back order from the node by orders scheduled from the node collected from a pre-assigned time period. The method also includes determining a cancelation cost of the node based on the cancelation ratio of said node. The method then includes automatically generating a node order assignment based on the determined cancelation cost for fulfillment of a current order.
    Type: Grant
    Filed: March 31, 2016
    Date of Patent: November 10, 2020
    Assignee: International Business Machines Corporation
    Inventors: Ajay A. Deshpande, Saurabh Gupta, Arun Hampapur, Ali Koc, Yingjie Li, Xuan Liu, Christopher S. Milite, Brian L. Quanz, Chek Keong Tan, Dahai Xing
  • Patent number: 10832194
    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: Grant
    Filed: May 10, 2016
    Date of Patent: November 10, 2020
    Assignee: International Business Machines Corporation
    Inventors: Ajay A. Deshpande, Arun Hampapur, Ali Koc, Yingjie Li, Xuan Liu, Brian L. Quanz, Dahai Xing
  • Patent number: 10783483
    Abstract: A method and system for evaluating node fulfillment capacity in node order assignment. The method includes receiving by a network average capacity utilization cost module an electronic record of a current order. The method includes retrieving data of a plurality of nodes, calculating an actual capacity utilization on an expected date, and determining a probability of backlog on the expected date. The method includes generating a network average capacity utilization cost model, automatically converting a regular labor cost or a overtime labor cost into a capacity utilization cost, and transmitting the capacity utilization cost of each node to an order fulfillment engine. The method includes receiving by the engine the current order, the processing cost data, and the capacity utilization cost. The method includes automatically calculating a fulfillment cost and identifying a node with the lowest fulfillment cost for assignment.
    Type: Grant
    Filed: May 13, 2016
    Date of Patent: September 22, 2020
    Assignee: International Business Machines Corporation
    Inventors: Ajay A. Deshpande, Saurabh Gupta, Arun Hampapur, Alan J. King, Ali Koc, Yingjie Li, Xuan Liu, Christopher S. Milite, Brian L. Quanz, Chek Keong Tan, Dahai Xing, Xiaobo Zheng
  • Patent number: 10776747
    Abstract: A method and system for evaluating node fulfillment capacity in node order assignment. The method includes receiving by a network average capacity utilization cost module an electronic record of a current order. The method includes retrieving data of a plurality of nodes, calculating an actual capacity utilization on an expected date, and determining a probability of backlog on the expected date. The method includes generating a network average capacity utilization cost model, automatically converting one or more of a plurality of costs and capacity utilization into a capacity utilization cost, and transmitting the capacity utilization cost of each node to an order fulfillment engine. The method includes receiving by the engine the current order, the processing cost data, and the capacity utilization cost. The method includes automatically calculating a fulfillment cost and identifying a node with the lowest fulfillment cost for assignment.
    Type: Grant
    Filed: April 1, 2016
    Date of Patent: September 15, 2020
    Assignee: International Business Machines Corporation
    Inventors: Ajay A. Deshpande, Saurabh Gupta, Arun Hampapur, Alan J. King, Ali Koc, Yingjie Li, Xuan Liu, Christopher S. Milite, Brian L. Quanz, Chek Keong Tan, Dahai Xing, Xiaobo Zheng
  • Patent number: 10719803
    Abstract: A historical scenario and historical decisions made in the historical scenario are received. The historical decisions represent a set of decision variables of an objective function. A random set of decision variables having different values than the set of decision variables are generated. To determine a weight setting associated with multiple objectives of the objective function, a number of inequalities are built and solved with an assumption that, for an optimization that minimizes the objective function, the objective function having the set of random decision variables has a larger value than the objective function having the set of decision variables. The receiving, the generating and the building steps may be repeated to determine multiple sets of weight settings. The multiple sets of weight settings are searched to select a target weight setting for each of the multiple objectives. The target weight setting may be automatically and continuously learned.
    Type: Grant
    Filed: March 31, 2016
    Date of Patent: July 21, 2020
    Assignee: International Business Machines Corporation
    Inventors: Ajay A. Deshpande, Saurabh Gupta, Arun Hampapur, Ali Koc, Dingding Lin, Xuan Liu, Brian L. Quanz, Yue Tong, Dahai Xing, Xiaobo Zheng
  • Patent number: 10699230
    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: Grant
    Filed: November 30, 2017
    Date of Patent: June 30, 2020
    Assignee: International Business Machines Corporation
    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
  • Patent number: 10685319
    Abstract: A simulator is configured to simulate the fulfillment of orders by nodes. Each node has an inventory of products and is capable of shipping the products to destinations in response to receipt of a corresponding order. The simulator divides the nodes into groups and assigns a different priority to each group based on input provided by a user to the simulator to generate an ordered sequence of priorities. The simulator maintains safety stock data corresponding to each node that indicates minimum quantities of the products required to be present at the corresponding node. The simulator selects a current priority of the sequence and next simulates a first group among the groups having the current priority fulfilling the orders for a given product among the products while a quantity of the given product at each of the nodes in the first group is below the minimum quantity in the corresponding safety stock data.
    Type: Grant
    Filed: October 13, 2015
    Date of Patent: June 16, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: JoAnn Piersa Brereton, Ajay Ashok Deshpande, Arun Hampapur, Miao He, Alan Jonathan King, Xuan Liu, Christopher Scott Milite, Jae-Eun Park, Joline Ann Villaranda Uichanco, Songhua Xing, Steve Igrejas, Hongliang Fei, Vadiraja Ramamurthy, Yingjie Li, Kimberly D. Hendrix, Xiao Bo Zheng
  • Patent number: 10679178
    Abstract: A simulator is configured to simulate the fulfillment of orders by nodes. Each node has an inventory of products and is capable of shipping the products to destinations in response to receipt of a corresponding order. The simulator divides the nodes into groups and assigns a different priority to each group based on input provided by a user to the simulator to generate an ordered sequence of priorities. The simulator maintains safety stock data corresponding to each node that indicates minimum quantities of the products required to be present at the corresponding node. The simulator selects a current priority of the sequence and next simulates a first group among the groups having the current priority fulfilling the orders for a given product among the products while a quantity of the given product at each of the nodes in the first group is below the minimum quantity in the corresponding safety stock data.
    Type: Grant
    Filed: December 1, 2015
    Date of Patent: June 9, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: JoAnn Piersa Brereton, Ajay Ashok Deshpande, Arun Hampapur, Miao He, Alan Jonathan King, Xuan Liu, Christopher Scott Milite, Jae-Eun Park, Joline Ann Villaranda Uichanco, Songhua Xing, Steve Igrejas, Hongliang Fei, Vadiraja Ramamurthy, Yingjie Li, Kimberly D. Hendrix, Xiao Bo Zheng
  • Patent number: 10650438
    Abstract: A system, method and computer program product 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: Grant
    Filed: January 13, 2017
    Date of Patent: May 12, 2020
    Assignee: International Business Machiness Corporation
    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: 10643160
    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: Grant
    Filed: January 13, 2017
    Date of Patent: May 5, 2020
    Assignee: International Business Machines Corporation
    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
  • Patent number: 10607275
    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: Grant
    Filed: May 13, 2016
    Date of Patent: March 31, 2020
    Assignee: International Business Machines Corporation
    Inventors: Ajay A. Deshpande, Arun Hampapur, Xuan Liu, Brian L. Quanz, Dahai Xing
  • Patent number: 10600007
    Abstract: A method and system to perform spatio-temporal prediction are described. The method includes obtaining, based on communication with one or more sources, multi-scale spatial datasets, each of the multi-scale spatial datasets providing a type of information at a corresponding granularity, at least two of the multi-scale spatial datasets providing at least two types of information at different corresponding granularities. The method also includes generating new features for each of the multi-scale spatial datasets, the new features being based on features of each of the multi-scale spatial datasets and spatial relationships between and within the multi-scale spatial datasets. The method further includes selecting, using the processor, features of interest from among the new features, training a predictive model based on the features of interest, and predicting an event based on the predictive model.
    Type: Grant
    Filed: August 4, 2014
    Date of Patent: March 24, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Wei Shan Dong, Arun Hampapur, Hongfei Li, Li Li, Xuan Liu, Chun Yang Ma, Songhua Xing
  • Patent number: 10565547
    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: Grant
    Filed: April 5, 2016
    Date of Patent: February 18, 2020
    Assignee: Wayfair LLC
    Inventors: Ajay A. Deshpande, Arun Hampapur, Yingjie Li, Ding Ding Lin, Xuan Liu, Dahai Xing, Xiao Bo Zheng