Patents by Inventor Divya CHAGANTI

Divya CHAGANTI 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: 12106321
    Abstract: In some examples, a system may be configured to obtain a set of features of a set of users including one or more features of transaction of the set of users and one or more features of engagement data of the set of users. Additionally, the system may be configured to implement a first set of operations that generate output data including a plurality of churn scores, based on the set of features. In some examples, each churn score of the plurality of churn scores being associated with a particular user of the set of users and characterize a likelihood of a churn event of the corresponding user.
    Type: Grant
    Filed: July 28, 2023
    Date of Patent: October 1, 2024
    Assignee: Walmart Apollo, LLC
    Inventors: Ashish Ranjan, Aysenur Inan, Sooraj Mangalath Subrahmannian, Divya Chaganti, Hyun Duk Cho, Sushant Kumar, Kannan Achan
  • Publication number: 20240221052
    Abstract: Systems and methods of generating an interface including one or more assets selected by an asset prediction model are disclosed. A user identifier associated with a set of user features and a set of assets each including a set of asset features is received and a set of predicted assets is generated using a trained asset prediction model. The trained asset prediction model comprises a machine learning model configured to receive the set of user features and the set of asset features for each asset in the set of assets and output the set of predicted assets and the trained asset prediction model is configured to maximize a likelihood of engagement for the set of predicted asset. An interface including a predetermined number of assets selected from the set of predicted assets in descending ranked order is generated.
    Type: Application
    Filed: December 30, 2022
    Publication date: July 4, 2024
    Inventors: Divya Chaganti, Shubham Yograj Thakur, Hyun Duk Cho, Sushant Kumar, Kannan Achan
  • Patent number: 12020276
    Abstract: Systems and methods utilizing a classification model and a ranking model are disclosed. A user identifier is received and a user profile is generated. The user profile includes a plurality of user features. The user profile is classified into a classification using a trained classification model. The trained classification model receives a first subset of the plurality of user features. A set of communication elements is ranked using a trained ranking model. The trained ranking model receives a second subset of the plurality of user features. An electronic communication including a plurality of interface elements is generated. The plurality of interface elements includes at least one communication element selected from the ranked set of communication elements in descending ranked order. A type of the electronic communication is selected based on the classification of the user profile.
    Type: Grant
    Filed: January 31, 2023
    Date of Patent: June 25, 2024
    Assignee: Walmart Apollo, LLC
    Inventors: Aysenur Inan, Keerthi Gopalakrishnan, Rahul Radhakrishnan Iyer, Sneha Gupta, Divya Chaganti, Yokila Arora, Kamilia Ahmadi, Hyun Duk Cho, Sushant Kumar, Kannan Achan
  • Publication number: 20240020717
    Abstract: In some examples, a system may be configured to obtain a set of features of a set of users including one or more features of transaction of the set of users and one or more features of engagement data of the set of users. Additionally, the system may be configured to implement a first set of operations that generate output data including a plurality of churn scores, based on the set of features. In some examples, each churn score of the plurality of churn scores being associated with a particular user of the set of users and characterize a likelihood of a churn event of the corresponding user.
    Type: Application
    Filed: July 28, 2023
    Publication date: January 18, 2024
    Inventors: Ashish Ranjan, Aysenur Inan, Sooraj Mangalath Subrahmannian, Divya Chaganti, Hyun Duk Cho, Sushant Kumar, Kannan Achan
  • Patent number: 11756065
    Abstract: In some examples, a system may be configured to obtain a set of features of a set of users including one or more features of transaction of the set of users and one or more features of engagement data of the set of users. Additionally, the system may be configured to implement a first set of operations that generate output data including a plurality of churn scores, based on the set of features. In some examples, each churn score of the plurality of churn scores being associated with a particular user of the set of users and characterize a likelihood of a churn event of the corresponding user.
    Type: Grant
    Filed: January 6, 2022
    Date of Patent: September 12, 2023
    Assignee: Walmart Apollo, LLC
    Inventors: Ashish Ranjan, Aysenur Inan, Sooraj Mangalath Subrahmannian, Divya Chaganti, Hyun Duk Cho, Sushant Kumar, Kannan Achan
  • Publication number: 20230245215
    Abstract: A fulfillment intent system can include a computing device configured to receive an indication of an event occurring from a user device and obtain a set of historical data associated with a user identifier indicated by the user device. The computing device is further configured to determine a fulfillment parameter by applying a machine learning model to the set of historical data and obtain a set of item identifiers based on the indication. The computing device is also configured to organize the set of item identifiers based on the fulfillment parameter and transmit the set of item identifiers to the user device for display on a user interface of the user device.
    Type: Application
    Filed: January 28, 2022
    Publication date: August 3, 2023
    Inventors: Sooraj Mangalath Subrahmannian, Parth Ramesh Vajge, Spencer Galbraith, Yue Xu, Divya Chaganti, Hyun Duk Cho, Sushant Kumar, Kannan Achan
  • Publication number: 20230245196
    Abstract: A consideration intent system can include a computing device configured to receive an indication of an event occurring from a user device, obtain a set of parameters associated with the event and retrieve a set of item intent values corresponding to the set of items. The computing device is configured to determine a first value based on at least one parameter of the set of parameters and classify the event as one of: (i) low consideration intent and (ii) high consideration intent by inputting the set of item intent values and the first value as features to a machine learning algorithm. The computing device is configured to, based on the classification, identify a set of recommendation models, generate a set of recommended item identifiers by implementing at least one recommendation model of the set of recommendation models, and transmit the set of recommended item identifiers to the user device.
    Type: Application
    Filed: January 28, 2022
    Publication date: August 3, 2023
    Inventors: Spencer Galbraith, Parth Ramesh Vajge, Sooraj Mangalath Subrahmannian, Divya Chaganti, Yue Xu, Hyun Duk Cho, Sushant Kumar, Kannan Achan, Nimesh Sinha
  • Publication number: 20230214869
    Abstract: In some examples, a system may be configured to obtain a set of features of a set of users including one or more features of transaction of the set of users and one or more features of engagement data of the set of users. Additionally, the system may be configured to implement a first set of operations that generate output data including a plurality of churn scores, based on the set of features. In some examples, each churn score of the plurality of churn scores being associated with a particular user of the set of users and characterize a likelihood of a churn event of the corresponding user.
    Type: Application
    Filed: January 6, 2022
    Publication date: July 6, 2023
    Inventors: Ashish Ranjan, Aysenur Inan, Sooraj Mangalath Subrahmannian, Divya Chaganti, Hyun Duk Cho, Sushant Kumar, Kannan Achan
  • Publication number: 20230214903
    Abstract: In some examples, a system may be configured to obtain a set of features of a set of users including one or more features of transactional data of the set of users and one or more features of engagement data of the set of users. Additionally, the system may be configured to implement a first set of operations that generate output data including a plurality of trial membership scores, based on the set of features. In some examples, each trial membership score of the plurality of trial membership scores are associated with a particular user of the set of users and characterize a likelihood of an acquisition event of the corresponding user changing from a non-member status to a trial member status.
    Type: Application
    Filed: January 6, 2022
    Publication date: July 6, 2023
    Inventors: Aysenur Inan, Divya Chaganti, Hyun Duk Cho, Sushant Kumar, Kannan Achan
  • Publication number: 20230206253
    Abstract: This application relates to apparatus and methods for automatically determining and providing digital customer insights based on historical customer data. In some examples, a computing device obtains user data for a user. In response, the computing device receives a plurality of product types relevant to the user and their corresponding relevance scores. For each product type, the computing device then receives a set of attributes, where each attribute is associated with an affinity score for the user. The computing device determines, for each product type, an overall score for each attribute and product type pair based on the relevance score for the product type and the affinity score for the corresponding attribute. At least one attribute and product type pair is presented to the user based on the corresponding overall score.
    Type: Application
    Filed: December 23, 2021
    Publication date: June 29, 2023
    Inventors: Aysenur Inan, Vivek Vaidyanathan, Sooraj Mangalath Subrahmannian, Divya Chaganti, Hyun Duk Cho, Sushant Kumar, Kannan Achan
  • Publication number: 20220245710
    Abstract: A method of obtaining item recommendations associated with an anchor item chosen by a user via a user interface executed on a user device of the user. The method further can include determining an anchor label for the anchor item. In a number of embodiments, the anchor label can be determined based at least in part on one or more features of an anchor category of the anchor item. The method additionally can include determining a personalized recommendation strategy for the user based at least in part on a user mode for the user and the anchor label. The method further can include re-ranking the item recommendations based at least in part on the personalized recommendation strategy. The method also can include transmitting the item recommendations re-ranked to be displayed with the anchor item on the user interface. Other embodiments are disclosed.
    Type: Application
    Filed: January 31, 2022
    Publication date: August 4, 2022
    Applicant: Walmart Apollo, LLC
    Inventors: Anant Maheshwari, Sinduja Subramaniam, Divya Chaganti, Evren Korpeoglu, Sushant Kumar, Kannan Achan
  • Publication number: 20220245703
    Abstract: A method of obtaining item recommendations associated with an anchor item chosen by a user via a user interface executed on a user device of the user. The method further can include determining an anchor label for the anchor item. In a number of embodiments, the anchor label can be determined based at least in part on one or more features of an anchor category of the anchor item. The method additionally can include determining a personalized recommendation strategy for the user based at least in part on a user mode for the user and the anchor label. The method further can include re-ranking the item recommendations based at least in part on the personalized recommendation strategy. The method also can include transmitting the item recommendations re-ranked to be displayed with the anchor item on the user interface. Other embodiments are disclosed.
    Type: Application
    Filed: January 29, 2021
    Publication date: August 4, 2022
    Applicant: Walmart Apollo, LLC
    Inventors: Divya Chaganti, Sushant Kumar, Evren Korpeoglu, Kannan Achan
  • Patent number: 11315165
    Abstract: An approach is disclosed for recommending complementary items based on customer shopping routines. The approach receives anchor item data. The approach identifies a routine that corresponds to the anchor item data. The routine is based on an item purchasing behavior of a customer. The approach determines categorical data within the identified routine by applying a ranking algorithm to the categorical data of the categories and the anchor item data. The categorical data is relevant to the anchor item data. The approach generates relevant item data from the categorical data by applying an item recommendation model to item data that corresponds to the categorical data.
    Type: Grant
    Filed: January 29, 2020
    Date of Patent: April 26, 2022
    Assignee: Walmart Apollo, LLC
    Inventors: Evren Korpeoglu, Sushant Kumar, Divya Chaganti, Jiwen You, Kannan Achan, Niousha Bolandzadeh Fasaie
  • Publication number: 20210233149
    Abstract: An approach is disclosed for recommending complementary items based on customer shopping routines. The approach receives anchor item data. The approach identifies a routine that corresponds to the anchor item data. The routine is based on an item purchasing behavior of a customer. The approach determines categorical data within the identified routine by applying a ranking algorithm to the categorical data of the categories and the anchor item data. The categorical data is relevant to the anchor item data. The approach generates relevant item data from the categorical data by applying an item recommendation model to item data that corresponds to the categorical data.
    Type: Application
    Filed: January 29, 2020
    Publication date: July 29, 2021
    Inventors: Evren KORPEOGLU, Sushant KUMAR, Divya CHAGANTI, Jiwen YOU, Kannan ACHAN, Niousha BOLANDZADEH FASAIE
  • Publication number: 20210233150
    Abstract: An approach is disclosed for recommending trending complementary items or trending similar items. The approach receives anchor item data corresponding to an anchor item. The approach determines a subcategory data corresponding to a category of the anchor item. The approach identifies an attribute label of the anchor item subcategory data, in which the attribute label indicates whether the anchor item is eligible for up-selling. The approach identifies, in response to the attribute label indicating that the anchor item is not eligible for up-selling, complementary subcategory data corresponding to the anchor item subcategory data, based on historical transaction data and at least one of co-view data and add-to-cart data. The approach generates recommended cross-selling item data from the complementary subcategory data, the recommended cross-selling item data being generated by applying a trending model to historical transaction data of items having complementary subcategory data.
    Type: Application
    Filed: January 29, 2020
    Publication date: July 29, 2021
    Inventors: Evren KORPEOGLU, Sushant KUMAR, Jiwen YOU, Divya CHAGANTI, Kannan ACHAN