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    User Interface Tool for Polytope Analysis
    1.
    发明申请
    User Interface Tool for Polytope Analysis 有权

    公开(公告)号：US20250069015A1

    公开(公告)日：2025-02-27

    申请号：US18943261

    申请日：2024-11-11

    Applicant: Blue Yonder Group, Inc.

    Inventor： Jindrich Dinga ,  Anton Vonorych ,  Pradeep Baldi ,  Joerg Beringer ,  Norbert Hadwiger ,  Minh Thuy Nguyen

    IPC: G06Q10/0637 ,  G06F3/0484 ,  G06F40/289

    Abstract: A system and method are disclosed for autonomously performing a polytope analysis. The method further includes autonomously identifying input for use in the polytope analysis using natural language processing techniques, performing a polytope analysis using the identified input, generating response plans based on the performed polytope analysis, displaying the generated response plans, and executing at least one of the generated response plans. The method includes where the identified input comprises assumptions, goals, and levers for a polytope analysis. The method further includes providing a GUI that is configured to perform altering, adding and removing assumptions, goals and levers. The method further includes displaying assumption data associated with the polytope analysis, where the assumption data comprises type, priority, one dates, confidence, description and scope.

    User Interface Tool for Generating and Analyzing Scenarios for Assumption Planning
    2.
    发明申请
    User Interface Tool for Generating and Analyzing Scenarios for Assumption Planning 有权

    公开(公告)号：US20250060980A1

    公开(公告)日：2025-02-20

    申请号：US18935280

    申请日：2024-11-01

    Applicant: Blue Yonder Group, Inc.

    Inventor： Jindrich Dinga ,  Anton Vonorych ,  Pradeep Baldi ,  Joerg Beringer

    IPC: G06F9/451 ,  G06F3/04847 ,  G06Q10/0635 ,  G06Q10/0637

    Abstract: A system and method are disclosed for performing assumption-based planning. The method includes generating and displaying an assumption creation GUI for creating assumptions, generating and displaying a planning GUI configured for selection of options and parameters, generating and displaying a goal selection GUI configured for a selection of goals for planning, generating and displaying a lever selection GUI configured for a selection of levers for planning, updating the lever selection GUI, generating and displaying an input adjustment GUI configured to display the levers and receive selections to toggle the levers on or off, performing a planning analysis using the selected goals and the selected levers, generating and displaying a planning analysis summary GUI configured to display the selected goals and the selected levers used in performing the planning analysis, and generating and displaying a response plan GUI configured to display a response plan based on the planning analysis.

    COMPUTER IMPLEMENTED METHODS AND COMPUTER SYSTEMS FOR AUTOMATING MARKET RESEARCH USING ARTIFICIAL INTELLIGENCE AGENTS
    4.
    发明申请
    COMPUTER IMPLEMENTED METHODS AND COMPUTER SYSTEMS FOR AUTOMATING MARKET RESEARCH USING ARTIFICIAL INTELLIGENCE AGENTS 有权

    公开(公告)号：US20250054003A1

    公开(公告)日：2025-02-13

    申请号：US18673378

    申请日：2024-05-24

    Applicant: ProAl, Inc.

    Inventor： Chase Hughes

    IPC: G06Q30/0202 ,  G06Q10/0637 ,  G06Q30/0201 ,  G06Q30/0203 ,  G06Q30/0204

    Abstract: A computer-implemented method and a computer system for automating market research is disclosed. The computer-implemented method includes receiving a query from a user within a Market Research System (MRS). Collecting context relevant to the query based on availability of internal information retrieval by querying the user with one or more clarification questions using one or more Artificial Intelligence (AI) agents. Forming a strategy to retrieve data from available data sources based on the context. Retrieving data from the available data sources based on the strategy. Analysing the data to determine if the retrieved data is sufficient to complete the research objective. Requesting modification or additional information in the data, responsive to the data not being determined as sufficient to complete the research objective. Determining market research parameters based on the analysed data. Iteratively optimizing market research parameters by activating the one or more AI agents.

    NESTED MODEL STRUCTURES FOR THE PERFORMANCE OF COMPLEX TASKS
    5.
    发明申请
    NESTED MODEL STRUCTURES FOR THE PERFORMANCE OF COMPLEX TASKS 有权

    公开(公告)号：US20250053910A1

    公开(公告)日：2025-02-13

    申请号：US18929284

    申请日：2024-10-28

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Mohit SEWAK ,  Ravi Kiran Reddy POLURI

    IPC: G06Q10/0637 ,  G06F16/28 ,  G06F40/20

    Abstract: The disclosure is directed to systems, methods, and computer storage media, for, among other things, employing nested model structures to enforce compliance, within a computational system, to at least one policy. One method includes receiving a digital record that encodes content. A plurality of models (e.g., integrated models and/or model droplets) is employed to analyze the records. The plurality of models is configured and arranged within a nested structure of a hierarchy of models. Each of the plurality of models analyzes at least a portion of the record. Based on the nested structure, the hierarchy combines the analysis from each of the plurality of models to determine that the content violates a policy of a system. In response to determining that the content violates the policy, at least one mitigation (or intervention) action are performed. The at least one mitigation action may alter subsequent transmissions of the record.

    METHODS, SYSTEMS, APPARATUSES, AND DEVICES FOR FACILITATING MANAGING BUDGETS FOR CLOUD ACCOUNTS
    6.
    发明申请
    METHODS, SYSTEMS, APPARATUSES, AND DEVICES FOR FACILITATING MANAGING BUDGETS FOR CLOUD ACCOUNTS 有权

    公开(公告)号：US20250053903A1

    公开(公告)日：2025-02-13

    申请号：US18929223

    申请日：2024-10-28

    Applicant: Venkatesh Kumar Krishnaiah

    Inventor： Venkatesh Kumar Krishnaiah

    IPC: G06Q10/0631 ,  G06Q10/0637

    Abstract: A method for facilitating management of budgets for cloud resources and/or accounts. The method comprises obtaining real-time and/or historical usage information of resources and/or account information associated with a cloud resources and/or account of a cloud platform, analyzing the real-time and/or historical usage information of resources and/or account information for determining a value of a parameter associated with the utilization of the cloud resource by the cloud account, determining an action required to be implemented for the cloud resource and/or account based on the determining of the value of the parameter, generating a cloud resource and/or account controlling command for implementing the action based on the determining of the action, transmitting the cloud resource and/or account controlling command to a cloud service provider device associated with a cloud service provider, and storing the real-time and/or historical account information.

    OPERATION MODIFICATION TO ADDRESS INCOMPATIBILITY VIA MACHINE LEARNING
    8.
    发明申请
    OPERATION MODIFICATION TO ADDRESS INCOMPATIBILITY VIA MACHINE LEARNING 有权

    公开(公告)号：US20250021939A1

    公开(公告)日：2025-01-16

    申请号：US18760572

    申请日：2024-07-01

    Applicant: ADP, Inc.

    Inventor： Kelly Marie Mortimer

    IPC: G06Q10/1057 ,  G06F40/186 ,  G06Q10/0637

    Abstract: Controlling operation compatibility via machine learning is provided. A system with one or more processors, coupled with memory, detects, via natural language processing, an update to an operational constraint established in an electronic document. The system receives data corresponding to operations executed by an entity. The system determines, via a model trained with machine learning on historical operational data for the entity, an incompatibility between an operation of the entity and the update to the operational constraint. The system selects, responsive to determination of the incompatibility, an action to address the incompatibility. The system executes the action to modify the operation of the entity to satisfy the update to the operational constraint.

    METHOD AND SYSTEM FOR OPTIMIZING AN OBJECTIVE HEAVING DISCRETE CONSTRAINTS
    10.
    发明申请
    METHOD AND SYSTEM FOR OPTIMIZING AN OBJECTIVE HEAVING DISCRETE CONSTRAINTS 有权

    公开(公告)号：US20250013939A1

    公开(公告)日：2025-01-09

    申请号：US18888574

    申请日：2024-09-18

    Applicant: Kinaxis Inc.

    Inventor： Brian KENG ,  Anneya GOLOB ,  Yifeng HE

    IPC: G06Q10/04 ,  G06F17/11 ,  G06F18/21 ,  G06N7/01 ,  G06Q10/0637

    Abstract: A system and method for optimizing an objective having discrete constraints using a dataset, the dataset including a plurality of aspects associated with the objective. The method comprising: receiving the dataset, the objective, and constraints, at least one of the constraints comprising discrete values; receiving a seed solution comprising initial values for the at least the constraints; iteratively performing until a predetermined threshold is reached: determining a constraint space for each of the constraints have discrete values using a determination of a constraint satisfaction problem; determining an optimized value of the objective using an optimization model, the optimization model taking as input the dataset and the constraint space; and outputting the optimized objective.

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