Patents by Inventor Markus Ettl

Markus Ettl 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).

  • Publication number: 20190005514
    Abstract: Systems, methods, and computer-readable media are disclosed for identifying customers having associated opportunities for improved growth and/or profitability with respect to product or service offerings and determining investment solutions that enhance the probability that the customers transition to the higher growth/profitability opportunities. Prior customer transactions are segmented based on segmentation criteria and used to generate a transaction graph. The nodes of the transaction graph represent the segmented transactions and client transaction paths between the nodes represent potential customer life-cycle trajectories.
    Type: Application
    Filed: November 6, 2017
    Publication date: January 3, 2019
    Inventors: Pawan Chowdhary, Markus Ettl, Donald Keefer, Gabriel Toma, Zhengliang Xue
  • Publication number: 20190005512
    Abstract: Systems, methods, and computer-readable media are disclosed for identifying customers having associated opportunities for improved growth and/or profitability with respect to product or service offerings and determining investment solutions that enhance the probability that the customers transition to the higher growth/profitability opportunities. Prior customer transactions are segmented based on segmentation criteria and used to generate a transaction graph. The nodes of the transaction graph represent the segmented transactions and client transaction paths between the nodes represent potential customer life-cycle trajectories.
    Type: Application
    Filed: June 29, 2017
    Publication date: January 3, 2019
    Inventors: Pawan Chowdhary, Markus Ettl, Donald Keefer, Gabriel Toma, Zhengliang Xue
  • Publication number: 20180060925
    Abstract: Systems, methods, and computer-readable media are disclosed for jointly optimizing one or more parameters associated with multiple different price mechanisms. The price mechanisms may include spot market pricing, fixed-contract pricing, formula-based pricing, or the like, and may vary in duration. The optimized parameters may include an optimized price for each price mechanism that maximizes expected seller profit across all price mechanisms and all buyers.
    Type: Application
    Filed: August 31, 2016
    Publication date: March 1, 2018
    Inventors: Markus Ettl, Shivaram Subramanian, Zhengliang Xue
  • Publication number: 20180005319
    Abstract: Systems, methods, and computer-readable media are disclosed for optimizing terms of a long-term contract between a buyer and a seller for a product. Various types of forecasting models may be generated and used to determine the optimized terms such as an optimized price for the long-term contract. A risk model may be generated and evaluated to identify market disruptions that indicate that the optimized price should be re-negotiated to distribute the associated risk between the buyer and seller. An example of such a market disruption may be a market price fluctuation that causes a difference between a spot market price for the product and a contract price to meet or exceed a threshold value.
    Type: Application
    Filed: June 30, 2016
    Publication date: January 4, 2018
    Inventors: Markus Ettl, Yan Shang, Shivaram Subramanian, Zhengliang Xue
  • Publication number: 20170293917
    Abstract: An apparatus, method and computer program product for identifying fraud in transaction data. The method includes: receiving invoice data comprising a vendor, a requestor and events, receiving public data and private data sources, computing a vendor risk score using the public and private data sources matching the vendor of the invoice data, computing a requestor risk score using the public data sources and the private data sources matching the requestor of the invoice data, computing an active invoice score using the vendor risk score and the requestor risk score and when the active invoice score is greater than a predetermined amount, blocking the invoice data. In one embodiment, computing a vendor risk score comprises obtaining a weight and a confidence for the event, calculating an event vendor risk score using the weight times the confidence and combining the event vendor risk scores for all of the events.
    Type: Application
    Filed: April 8, 2016
    Publication date: October 12, 2017
    Inventors: Amit Dhurandhar, Markus Ettl, Bruce C. Graves, Gopikrishna Maniachari, Anthony T. Mazzatti, Rajesh Kumar Ravi
  • Publication number: 20170046736
    Abstract: A system, method and computer program product for determining a target population to be subject to a promotion or offer of goods/services. The target population is determined that strongly prefers a given promotion, while also making sure the target population represents a sizable number of consumers such that profits may be maximized. The system provides an output solution listing available promotion options and one or more corresponding target groups based on solving an optimization problem that incorporates, prior obtained most important customer features for each promotion using historical promotion data and statistics measures. The system may automatically initiate a promotion offering to each of said customers by communicating the promotion to the members of the targeted group of people, wherein a percentage of future transactions to which the promotion is offered is expected to exceed a threshold level.
    Type: Application
    Filed: August 14, 2015
    Publication date: February 16, 2017
    Inventors: Adam N. Elmachtoub, Markus Ettl, Sechan Oh, Marek Petrik, Rajesh K. Ravi
  • Publication number: 20150066566
    Abstract: A method for balancing supply and demand for a product using demand-shaping action includes identifying an imbalance between supply and demand for a given product. A customer choice model is generated based on collected historical sales data pertaining to the given product and at least one product similar to the given product. The customer choice model is configured to estimate, for a given customer or group of customers, a likelihood of effecting a substitution between each product pair of the given product and the at least one product similar to the given product, for each of one or more available demand shaping actions. One or more of the available demand shaping actions are automatically selected to minimize an estimate of revenue shortfall or inventory holding costs resulting from the identified imbalance between supply and demand.
    Type: Application
    Filed: August 30, 2013
    Publication date: March 5, 2015
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: THOMAS R. ERVOLINA, Markus Ettl, Roger D. Lederman, Marek Petrik, Rajesh Kumar Ravi
  • Publication number: 20150066569
    Abstract: A method for balancing supply and demand for a product using demand-shaping action includes identifying an imbalance between supply and demand for a given product. A customer choice model is generated based on collected historical sales data pertaining to the given product and at least one product similar to the given product. The customer choice model is configured to estimate, for a given customer or group of customers, a likelihood of effecting a substitution between each product pair of the given product and the at least one product similar to the given product, for each of one or more available demand shaping actions. One or more of the available demand shaping actions are automatically selected to minimize an estimate of revenue shortfall or inventory holding costs resulting from the identified imbalance between supply and demand.
    Type: Application
    Filed: September 17, 2013
    Publication date: March 5, 2015
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Thomas R. Ervolina, Markus Ettl, Roger D. Lederman, Marek Petrik, Rajesh Kumar Ravi
  • Publication number: 20140031966
    Abstract: A manufacturing process is migrated from an existing operation to a configure-to-order (CTO) system. As the CTO operation will eliminate the “machine-type model” (MTM) inventory of the existing operation, the emphasis is shifted to the components, or “building blocks”, which will still follow the build-to-stock scheme, due to their long leadtimes, and hence still require inventory. The solution involves an inventory-service trade-off of the new CTO system, resulting in performance gains, in terms of reduced inventory cost and increased service level. Other benefits include better forecast accuracy through parts commonality and risk-pooling, and increased customer demand, as orders will no longer be confined within a restricted set of pre-configured MTMs.
    Type: Application
    Filed: September 23, 2013
    Publication date: January 30, 2014
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Feng Cheng, Markus Ettl, Grace Yuh-Jiun Lin, David Da-Wei Yao
  • Publication number: 20140025422
    Abstract: The present invention provides a method, system and computer program product for implementing an automated inventory replenishment process between a manufacturer and a business partner. In one embodiment of the invention, a method is provided comprising the business partner purchasing and maintaining an inventory of goods from the manufacturer, and the manufacturer providing price protection to the business partner for the purchasing of the goods. This embodiment further comprises managing said inventory by using an automated process that takes into account said price protection for the purchasing of the goods.
    Type: Application
    Filed: September 20, 2013
    Publication date: January 23, 2014
    Applicant: INTERNATIONAL BUSINESS MACHINES CORORATION
    Inventors: Lianjun An, Blair A. Binney, Markus Ettl, Mamnoon Jamil, Shubir Kapoor, Rajesh K. Ravi, Yadav P. Singh, Karthik Sourirajan
  • Patent number: 8600841
    Abstract: A manufacturing process is migrated from an existing operation to a configure-to-order (CTO) system. As the CTO operation will eliminate the “machine-type model” (MTM) inventory of the existing operation, the emphasis is shifted to the components, or “building blocks”, which will still follow the build-to-stock scheme, due to their long leadtimes, and hence still require inventory. The solution involves an inventory-service trade-off of the new CTO system, resulting in performance gains, in terms of reduced inventory cost and increased service level. Other benefits include better forecast accuracy through parts commonality and risk-pooling, and increased customer demand, as orders will no longer be confined within a restricted set of pre-configured MTMs.
    Type: Grant
    Filed: April 3, 2008
    Date of Patent: December 3, 2013
    Assignee: International Business Machines Corporation
    Inventors: Feng Cheng, Markus Ettl, Grace Yuh-Jiun Lin, David Da-Wei Yao
  • Patent number: 8543473
    Abstract: The present invention provides a method, system and computer program product for implementing an automated inventory replenishment process between a manufacturer and a business partner. In one embodiment of the invention, a method is provided comprising the business partner purchasing and maintaining an inventory of goods from the manufacturer, and the manufacturer providing price protection to the business partner for the purchasing of the goods. This embodiment further comprises managing said inventory by using an automated process that takes into account said price protection for the purchasing of the goods.
    Type: Grant
    Filed: November 12, 2008
    Date of Patent: September 24, 2013
    Assignee: International Business Machines Corporation
    Inventors: Lianjun An, Blair A. Binney, Markus Ettl, Mamnoon Jamil, Shubir Kapoor, Rajesh K. Ravi, Yadav P. Singh, Karthik Sourirajan
  • Patent number: 8494885
    Abstract: A method and system to supply multiple items through a network of inventory staging areas and distribution points by determining inventory stocking levels for a staging area and distribution points, and inventory shipments from said staging area to distribution points and between the distribution points, using an optimization formulation whose objective is to cover maximum overall demand at the distribution points in a given period of time, and to minimize total cost of meeting demand.
    Type: Grant
    Filed: October 9, 2009
    Date of Patent: July 23, 2013
    Assignee: International Business Machines Corporation
    Inventors: Markus Ettl, Soumyadip Ghosh, Young M. Lee
  • Patent number: 8494916
    Abstract: Freshness inventory control problem may be formulated as a stochastic dynamic program. In one aspect, a stochastic dynamic programming formulation takes as input inventory status, stochastic demand forecast and cost information associated with on-hand inventory. The stochastic dynamic programming formulation is maximized to determine order quantity and depletion quantity of the product per period.
    Type: Grant
    Filed: January 16, 2013
    Date of Patent: July 23, 2013
    Assignee: International Business Machines Corporation
    Inventors: Daniel P. Connors, Markus Ettl, David D. Yao, Zhengliang Xue
  • Patent number: 8364553
    Abstract: Freshness inventory control problem may be formulated as a stochastic dynamic program. In one aspect, a stochastic dynamic programming formulation takes as input inventory status, stochastic demand forecast and cost information associated with on-hand inventory. The stochastic dynamic programming formulation is maximized to determine order quantity and depletion quantity of the product per period.
    Type: Grant
    Filed: April 25, 2011
    Date of Patent: January 29, 2013
    Assignee: International Business Machines Corporation
    Inventors: Daniel P. Connors, Markus Ettl, David D. Yao, Zhengliang Xue
  • Publication number: 20120290500
    Abstract: Win probability estimation model that statistically computes the probability of winning a bid at a given price, and profit optimization models that compute the optimal price for a bid balancing the probability of winning a bid at a price with the profitability of the bid at the given price. In one stage, an expected profit margin of a product may be formulated as a function of its profit margin and win probability to compute its optimal profit margin. In another stage, an expected profit for one or more product accessories may be formulated as a function of the profit margin and their conditional win probability given the server win to compute their optimal profit margins. The conditional win probabilities for the product accessories may be modeled as a function of the utilities of the various purchase options that contain the product and that accessory.
    Type: Application
    Filed: May 12, 2011
    Publication date: November 15, 2012
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Markus Ettl, Karthik Sourirajan, Zhengliang Xue
  • Patent number: 8301515
    Abstract: A system and method evaluate product substitutions along multiple criteria in response to a sales opportunity, for instance, providing sales recommendations of configurable products in response to a customer request based on propensity functions. A customer propensity is determined to estimate attractiveness of a substitute product to a customer based on one or more attributes. A seller propensity is determined to estimate attractiveness to a seller of selling the substitute product based on one or more attributes. The customer propensity and the seller propensity are combined to find a plurality of substitute products.
    Type: Grant
    Filed: February 14, 2012
    Date of Patent: October 30, 2012
    Assignee: International Business Machines Corporation
    Inventors: Pawan R. Chowdhary, Thomas Robert Ervolina, Markus Ettl, Young Min Lee, Daniel John Peters, Anshul Sheopuri, Karthik Sourirajan
  • Publication number: 20120271740
    Abstract: Freshness inventory control problem may be formulated as a stochastic dynamic program. In one aspect, a stochastic dynamic programming formulation takes as input inventory status, stochastic demand forecast and cost information associated with on-hand inventory. The stochastic dynamic programming formulation is maximized to determine order quantity and depletion quantity of the product per period.
    Type: Application
    Filed: April 25, 2011
    Publication date: October 25, 2012
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Daniel P. Connors, Markus Ettl, David D. Yao, Zhengliang Xue
  • Patent number: 8285649
    Abstract: Distributing disaster relief supplies, in one aspect, may include determining cross shipping of disaster relief supplies between points of distribution using one or more combinations of information. The information may include one or more of on-hand inventory of each point of distribution, in-transit inventory to each point of distribution, demand queue of disaster victims at each point of distribution, traveling time between supply staging area and points of distribution, traveling time between points of distribution, number of transportation vehicles available for cross shipping, minimum batch size for cross shipping, frequency of cross shipping, and point of distribution activation status, or combinations thereof.
    Type: Grant
    Filed: September 23, 2009
    Date of Patent: October 9, 2012
    Assignee: International Business Machines Corporation
    Inventors: Markus Ettl, Soumyadip Ghosh, Young M. Lee
  • Patent number: 8239237
    Abstract: The adaptive product conditioning is a computer-implemented method for identifying product configurations that can be provided to customers in reaction to supply imbalances. The methodology uses data mining techniques to collect and analyze business level meta data to coordinate supply and sales goals in terms of optimizing profits or managing product and technology transitions.
    Type: Grant
    Filed: May 18, 2011
    Date of Patent: August 7, 2012
    Assignee: International Business Machines Corporation
    Inventors: Lianjun An, Feng Cheng, Thomas Robert Ervolina, Markus Ettl, Pu Huang, Laurence Allan Phillips, Karthik Sourirajan