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公开(公告)号：US11941374B2
公开(公告)日：2024-03-26
申请号：US17565739
申请日：2021-12-30
Applicant: NB Ventures, Inc.
Inventor： Subhash Makhija , Saratendu Sethi , Huzaifa Matawala , Manish Sharma , Shivendra Singh Malik , Srishti Kush
IPC: G06F8/34 , G06F18/23 , G06F18/24 , G06F18/27 , G06F18/40 , G06N3/08 , G06N5/025 , G06N20/00 , G06V30/19
CPC classification number: G06F8/34 , G06F18/23 , G06F18/24 , G06F18/27 , G06F18/40 , G06N3/08 , G06N5/025 , G06N20/00 , G06V30/19113
Abstract: The present invention generally relates to system, method and graphical user interface for executing one or more tasks in dynamic data driven enterprise application. The invention includes creation of rules on a rule creation interface by one or more syntax from a rule creation syntax data library. The invention provides machine learning models driven rule engine for executing the tasks.
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2.发明公开公开(公告)号：US20230214193A1
公开(公告)日：2023-07-06
申请号：US17565833
申请日：2021-12-30
Applicant: NB Ventures, Inc., DBA GEP
Inventor： Subhash Makhija , Saratendu Sethi , Huzaifa Matawala , Manish Sharma , Shivendra Singh Malik , Srishti Kush
CPC classification number: G06F8/34 , G06N5/025 , G06V30/19113
Abstract: The present invention generally relates to system, method and graphical user interface for executing one or more tasks in dynamic data driven enterprise application. The invention includes creation of rules on a rule creation interface by one or more syntax from a rule creation syntax data library. The system of the invention is configured to identify optimum rule to process one or more tasks. The invention provides machine learning models driven rule engine for executing the tasks wherein an AI engine invokes dynamic conditions of the rules to execute the task.
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公开(公告)号：US11687617B2
公开(公告)日：2023-06-27
申请号：US16288513
申请日：2019-02-28
Applicant: NB Ventures, Inc.
Inventor： Subhash Makhija , Santosh Ganesh Dattatraya Bhat , Huzaifa S Matawala
IPC: G06Q10/00 , G06F17/40 , G06Q10/0637 , G06N20/00 , G06N3/08 , G06N3/02 , G05B13/02 , G06N3/049 , G06F17/18 , G05B13/04 , G06Q10/0633 , G06Q10/0639 , G06F18/00 , G06F18/2411
CPC classification number: G06F17/40 , G05B13/027 , G05B13/04 , G06F17/18 , G06F18/00 , G06F18/2411 , G06N3/02 , G06N3/049 , G06N3/08 , G06N20/00 , G06Q10/0633 , G06Q10/0637 , G06Q10/0639
Abstract: The present invention provides self-driven AI based system and method for operating one or more applications including enterprise application and supply chain management applications. The system includes centralized data lake for storing data received from plurality of distinct sources, a control tower configured for sensing change in attribute of the received data and determining impact of the change on plurality of functions of EA and SCM applications.
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公开(公告)号：US20230186070A1
公开(公告)日：2023-06-15
申请号：US17547795
申请日：2021-12-10
Applicant: NB Ventures, Inc., DBA GEP
Inventor： Subhash Makhija , Nithin Maruthi Prasad , Huzaifa Matawala , Shivendra Singh Malik
CPC classification number: G06N3/08 , G06Q30/0185
Abstract: The present invention provides an artificial intelligence-based data processing system and method for enterprise application. The data processing system and method are configured to receive an input data for executing a task at a server, identify and fetch one or more outliers from a data network based on the task to be executed, process the one or more outliers by at least one outlier data model trained on a historical outlier dataset to identify one or more glitches in execution of the task and in response to the recommended action, determine by at least one path identifier data model, at least one path for execution of an action.
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5.发明公开公开(公告)号：US20230144538A1
公开(公告)日：2023-05-11
申请号：US18148605
申请日：2022-12-30
Applicant: NB Ventures, Inc. dba GEP
Inventor： Subhash Makhija , Santosh Ganesh Dattatraya Bhat , Huzaifa S. Matawala
IPC: G06F17/40 , G06Q10/0637 , G06N20/00 , G06N3/08 , G06N3/02 , G05B13/02 , G06N3/049 , G06F17/18 , G05B13/04 , G06Q10/0633 , G06Q10/0639 , G06F18/00 , G06F18/2411
CPC classification number: G06F17/40 , G06Q10/0637 , G06N20/00 , G06N3/08 , G06N3/02 , G05B13/027 , G06N3/049 , G06F17/18 , G05B13/04 , G06Q10/0633 , G06Q10/0639 , G06F18/00 , G06F18/2411
Abstract: The present invention provides self-driven AI based system and method for operating one or more applications including enterprise application and supply chain management applications. The system includes centralized data lake for storing data received from plurality of distinct sources, a control tower configured for sensing change in attribute of the received data and determining impact of the change on plurality of functions of EA and SCM applications.
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Patent Agency Ranking
公开(公告)号：US20230137639A1
公开(公告)日：2023-05-04
申请号：US17514128
申请日：2021-10-29
Applicant: NB Ventures, Inc., DBA GEP
Inventor： Subhash Makhija , Manish Sharma , Abhinit Parelkar , Mowlali Pinjari , Ankita Deshpande , Naveen Kumar Gajji , Ashutosh Chahar , Aleemuddin Syed , Kavita Shamrao Borkar
Abstract: The present invention provides a data processing system and method for operating an enterprise application to execute one or more tasks including a pick-pack-ship task. The invention includes generating a graphical user interface with one or more data points providing one or more item data, one or more lot data for the item data, and one or more handling unit data for the lot data to generate a pick-pack ship projection on the interface based on Artificial intelligence processing of a historical dataset.
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公开(公告)号：US20220335372A1
公开(公告)日：2022-10-20
申请号：US17730429
申请日：2022-04-27
Applicant: NB Ventures, Inc., DBA GEP
Inventor： Subhash Makhija , Ramachander Raja , Shivendra Singh Malik , Santosh Ganesh Dattatraya Bhat
Abstract: The present invention provides Artificial Intelligence, Internet of things and blockchain based systems and methods for supply chain management. The system and method identify reasons of failure of procured item/object based on performance data analysis. The system and method further determine optimization characteristics required for a required item/object based on Artificial intelligence analysis using prediction algorithms.
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公开(公告)号：US20220180274A1
公开(公告)日：2022-06-09
申请号：US17110922
申请日：2020-12-03
Applicant: NB Ventures, Inc. dba GEP
Inventor： Subhash Makhija , Vanamali Porethi , Kiran Kumar Kandula , Vengatakrishnan Narayanasamy , Shivendra Singh Malik
Abstract: The present invention provides a data processing system and method for demand sensing and forecasting. The invention includes generating hierarchical data set from historical data of one or more objects and processing the hierarchical data based on one or more forecasting data models created by an artificial engine to predict data trend. The invention determines required safety stock for each category of the one or more objects.
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公开(公告)号：US11354140B2
公开(公告)日：2022-06-07
申请号：US16674035
申请日：2019-11-05
Applicant: NB Ventures, Inc.
Inventor： Subhash Makhija , Huzaifa Shabbir Matawala , Wael Gendy Yousef Abdo , John Fawzy Gouda Hakeem
IPC: G06F9/451 , G06F9/445 , G06F9/54 , G06F3/0482 , G06F3/0484 , G06N20/00 , G06Q50/28
Abstract: The present invention provides a system and method for restructuring of an enterprise application (EA) or a supply chain management (SCM) application. The system and method enable a user to restructure the applications dynamically by operating with configurable user interface components without a need to involve a developer for coding. The system includes a platform layer component and a data layer component associated with UI component for executing a task. The system further includes a rule engine configured to interact with a dynamic module injector for conditionally loading modules on the user interface for restructuring the applications thereby redefining EA and SCM operations.
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公开(公告)号：US12093819B2
公开(公告)日：2024-09-17
申请号：US17126869
申请日：2020-12-18
Applicant: NB Ventures, Inc.
Inventor： Subhash Makhija , Nithin Maruthi Prasad , Huzaifa Shabbir Matawala , Shivendra Singh Malik
IPC: G06N3/08 , G06F16/23 , G06F16/28 , G06F21/64 , G06F40/166 , G06N3/04 , G06Q10/0631 , G06Q10/0635 , G06Q10/0637 , G06Q10/08 , H04L9/40
CPC classification number: G06N3/08 , G06F16/2379 , G06F16/285 , G06F21/64 , G06F40/166 , G06N3/04 , G06Q10/06315 , G06Q10/0635 , G06Q10/06375 , G06Q10/08 , H04L63/08
Abstract: The present invention provides a system and method for managing operations in an enterprise application. The invention includes predicting a dataset characteristic such as an incident or outage in the enterprise application based on analysis of the dataset received from distinct data sources. The invention includes data cleansing, feature extraction based on probability data analysis and classification of dataset based on data models trained on historical dataset characteristic data. The invention includes linkedchain based architecture with configurable components structuring the enterprise application.
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