Patents by Inventor Kamal Gajendran

Kamal Gajendran 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: 11055640
    Abstract: The present invention relates to a system and method for generating business decisions. Embodiments of this system and method receive customer transaction data and additional information (cumulatively referred to as ‘modeling data’). This data is utilized to generate a product decision tree which models consumer purchasing decisions as a tree structure. The product decision tree may be utilized by the system to analyze demand for a given leaf (product) in association with other related products. In some embodiments, customers are segmented into groupings of customers who have similar attributes, including similar shopping behaviors. Customer insights are generated for the customer segments. The customer insights and the product decision tree are used to generate business plans, which may then be provided to a store for implementation. These plans may include a product assortment plan, an everyday pricing plan, a promotional plan, and a markdown plan.
    Type: Grant
    Filed: December 2, 2019
    Date of Patent: July 6, 2021
    Assignee: Acoustic, L.P.
    Inventors: Paritosh Desai, Kamal Gajendran
  • Publication number: 20200104765
    Abstract: The present invention relates to a system and method for generating business decisions. Embodiments of this system and method receive customer transaction data and additional information (cumulatively referred to as ‘modeling data’). This data is utilized to generate a product decision tree which models consumer purchasing decisions as a tree structure. The product decision tree may be utilized by the system to analyze demand for a given leaf (product) in association with other related products. In some embodiments, customers are segmented into groupings of customers who have similar attributes, including similar shopping behaviors. Customer insights are generated for the customer segments. The customer insights and the product decision tree are used to generate business plans, which may then be provided to a store for implementation. These plans may include a product assortment plan, an everyday pricing plan, a promotional plan, and a markdown plan.
    Type: Application
    Filed: December 2, 2019
    Publication date: April 2, 2020
    Applicant: Acoustic, L.P.
    Inventors: Paritosh Desai, Kamal Gajendran
  • Patent number: 10496938
    Abstract: The present invention relates to a system and method for generating business decisions. Embodiments of this system and method receive customer transaction data and additional information (cumulatively referred to as ‘modeling data’). This data is utilized to generate a product decision tree which models consumer purchasing decisions as a tree structure. The product decision tree may be utilized by the system to analyze demand for a given leaf (product) in association with other related products. In some embodiments, customers are segmented into groupings of customers who have similar attributes, including similar shopping behaviors. Customer insights are generated for the customer segments. The customer insights and the product decision tree are used to generate business plans, which may then be provided to a store for implementation. These plans may include a product assortment plan, an everyday pricing plan, a promotional plan, and a markdown plan.
    Type: Grant
    Filed: November 26, 2009
    Date of Patent: December 3, 2019
    Assignee: Acoustic, L.P.
    Inventors: Paritosh Desai, Kamal Gajendran
  • Patent number: 9785953
    Abstract: The present invention relates to a system and method for generating demand groups. The system receives demand group modeling data including a product listing, point of sales data, available econometric data and product information. Attributes may then be assigned to the products based upon product identifiers, size, flavor, brand, and product descriptions utilizing natural language processing. The products may then be clustered according to the attributes and point of sales data. One or more decision trees may be generated for the product listings using the point of sales data. Demand rules may be received, which may be applied to the product clusters and the decision trees to generate demand groups. A confidence score may be generated for each product indicating how well that product fits within the demand group. These confidence scores may be compared against a threshold. Products with scores below the threshold may be flagged for user review.
    Type: Grant
    Filed: March 9, 2010
    Date of Patent: October 10, 2017
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Paritosh Desal, Kamal Gajendran
  • Publication number: 20100228604
    Abstract: The present invention relates to a system and method for generating demand groups. The demand groups may then be fed to downstream pricing optimization and/or business decision systems. The system receives demand group modeling data including a product listing, point of sales data, available econometric data and product information. Attributes may then be assigned to the products based upon product identifiers, size, flavor, brand, and product descriptions utilizing natural language processing. The products may then be clustered according to the attributes and point of sales data utilizing any of hierarchical clustering, k-means clustering, locality sensitive hashing, QT clustering, EM algorithms and model based clustering. One or more decision trees may be generated for the product listings using the point of sales data. Demand rules may be received, which may be applied to the product clusters and the decision trees to generate demand groups.
    Type: Application
    Filed: March 9, 2010
    Publication date: September 9, 2010
    Inventors: Paritosh Desai, Kamal Gajendran
  • Publication number: 20100145773
    Abstract: The present invention relates to a system and method for generating business decisions. Embodiments of this system and method receive customer transaction data and additional information (cumulatively referred to as ‘modeling data’). This data is utilized to generate a product decision tree which models consumer purchasing decisions as a tree structure. The product decision tree may be utilized by the system to analyze demand for a given leaf (product) in association with other related products. In some embodiments, customers are segmented into groupings of customers who have similar attributes, including similar shopping behaviors. Customer insights are generated for the customer segments. The customer insights and the product decision tree are used to generate business plans, which may then be provided to a store for implementation. These plans may include a product assortment plan, an everyday pricing plan, a promotional plan, and a markdown plan.
    Type: Application
    Filed: November 26, 2009
    Publication date: June 10, 2010
    Inventors: Paritosh Desai, Kamal Gajendran