Patents by Inventor Zhengliang Xue

Zhengliang Xue 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: 20140310064
    Abstract: A top-down and bottom-up approach that decomposes product bundles to components, classifies them into different groups corresponding to a component similarity measure, and detects their inherent values. The bundles are reassembled and characterized by several key attributes according to their component inherent values, and classified into segments. A normalized utility model is constructed for each product bundle segment, taking into account the additive effect among different commodity types and product families. The goodness of fit of the top-down and the bottom-up model may be validated. The model may be applied in an RFQ pricing environment.
    Type: Application
    Filed: April 16, 2013
    Publication date: October 16, 2014
    Applicant: International Business Machines Corporation
    Inventors: Pawan R. Chowdhary, Markus R. Ettl, Shivaram Subramanian, Zizhuo Wang, Zhengliang Xue
  • Publication number: 20140310065
    Abstract: A top-down and bottom-up approach that decomposes product bundles to components, classifies them into different groups corresponding to a component similarity measure, and detects their inherent values. The bundles are reassembled and characterized by several key attributes according to their component inherent values, and classified into segments. A normalized utility model is constructed for each product bundle segment, taking into account the additive effect among different commodity types and product families. The goodness of fit of the top-down and the bottom-up model may be validated. The model may be applied in an RFQ pricing environment.
    Type: Application
    Filed: September 16, 2013
    Publication date: October 16, 2014
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Pawan R. Chowdhary, Markus R. Ettl, Shivaram Subramanian, Zizhuo Wang, Zhengliang Xue
  • Patent number: 8843404
    Abstract: Joint pricing and replenishment of freshness inventory or products having different qualities determines the joint pricing and inventory strategies to optimize the retailer's benefits from product freshness, employing a dynamic programming formulation that incorporates a demand model that captures consumer choice based on both the freshness and price.
    Type: Grant
    Filed: April 4, 2012
    Date of Patent: September 23, 2014
    Assignee: International Business Machines Corporation
    Inventors: Daniel P. Connors, Markus R. Ettl, David D. Yao, Zhengliang Xue
  • Publication number: 20130268415
    Abstract: Joint pricing and replenishment of freshness inventory or products having different qualities determines the joint pricing and inventory strategies to optimize the retailer's benefits from product freshness, employing a dynamic programming formulation that incorporates a demand model that captures consumer choice based on both the freshness and price.
    Type: Application
    Filed: April 4, 2012
    Publication date: October 10, 2013
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Daniel P. Connors, Markus R. Ettl, David D. Yao, Zhengliang Xue
  • 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
  • Patent number: 8352355
    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: Grant
    Filed: May 12, 2011
    Date of Patent: January 8, 2013
    Assignee: International Business Machines Corporation
    Inventors: Markus R. Ettl, Karthik Sourirajan, 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
  • 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