Nb Ventures, Inc.

Shivendra Singh Malik

Subhash Makhija

Huzaifa Shabbir Matawala

Santosh Ganesh Dattatraya Bhat

Wael Gendy Yousef Abdo

Saratendu Sethi

Manish Sharma

Srishti Kush

Ramachander Raja

Vinay Mathur

Murali Vajjiravel

Venkata Sri Harsha Vemuluru

Nishanth Koganti

John Fawzy Gouda Hakeem

Aditi Asthana

Abdul Rasheed Nagoor Gani

Avishek Jana

Wael Yousef

Manas Ranjan Goth

Gaurav Dua

Vanamali Porethi

Nithin Maruthi Prasad

Mukesh Rama Kunder

Kiran Kumar Kandula

Vengatakrishnan Narayanasamy

Vinayak Agashe

Nikunj Natwarlal Vasa

Bicheng Xiao

The present invention provides a platform architecture, a development application framework and a method for codeless development of one or more Supply chain management (SCM) enterprise application. The invention includes a layered platform architecture for supporting and executing development of SCM applications. The platform and method provide interaction of an SCM application user, a citizen developer user and a platform developer user with one or more layers of the platform architecture for codeless development of the SCM applications.

Development application framework for codeless development of enterprise application

The present invention provides a data network, a data ingestion system and a method of data ingestion in the data network for a supply chain management enterprise application. The data network includes one or more data objects of different data types received from different data sources structured on multiple distinct architecture, connected to each other for executing multiple functions in the enterprise application.

Data network, system and method for data ingestion in a data network

The present invention provides linkedchain, control tower and blockchain for one or more enterprise applications. The system includes a linked chain within a control tower configured to connect with blockchain and non-blockchain based entity systems.

Linkedchain, control tower and blockchain for enterprise applications

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.

IOT blockchain and AI based supply chain management system

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.

Artificial intelligence based operations in enterprise application

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.

Demand sensing and forecasting

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.

Machine learning driven rules engine for dynamic data-driven enterprise application

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.

Systems and methods utilizing machine learning driven rules engine for dynamic data-driven enterprise application

The present invention relates to a data processing system and method for enterprise application chatbot. The invention identifies the intent of a data string or an SCM action executed on the enterprise application using AI engine for predicting the relevant data to be extracted by the chatbot from the database and presenting the same on the chatbot interface for enabling a user to take an informed decision.

Data processing for enterprise application chatbot

The present invention provides a system and a method for managing and deploying one or more applications in a multi-cloud environment. The invention structures an application pipeline for multiple cloud environments and creates a library of objects based on processing of one or more application pipeline historical data. The data models generated based on the historical data enable processing of a received data to execute a task of deploying one or more applications. The invention maps blockchain network-based data elements of one or more applications in a multi-cloud environment.

Managing and deploying applications in multi-cloud environment

The present invention provides a system and method for restructuring of one or more applications. The invention includes a syntax data library having components enabling creation of one or more logical flow blocks by the AI engine. The logical flow blocks are structured on an extension tool interface to restructure the one or more applications for executing one or more SCM operations.

Restructuring enterprise application

Codeless development of enterprise application

Supply chain management system and a method of operating the same

The present invention discloses a method, a system and a computer program product for Contract management. The invention includes optical character recognition for extraction of data attributes from the contracts. The invention further provides AI engine configured for processing a contract creation request through a bot based on analysis of a set of parameters associated with the request.

Growing community of inventors

Vasco-da-Gama, India

Shivendra Singh Malik