Nb Ventures, Inc.

Hoechst Celanese Corporation

Global Eprocure

Subhash Makhija

Shivendra Singh Malik

Huzaifa Shabbir Matawala

Santosh Ganesh Dattatraya Bhat

Saratendu Sethi

Wael Gendy Yousef Abdo

Manish Sharma

Edward C Chenevey

M Ishaq Haider

Dhananjay Nagalkar

Santosh Katakol

Srishti Kush

Nishanth Koganti

Venkata Sri Harsha Vemuluru

Ramachander Raja

Vinay Mathur

Aditi Asthana

Siddhaarth Iyer

Murali Vajjiravel

John Fawzy Gouda Hakeem

Ravi Mevcha

Eui W Choe

James B Stamatoff

Michael L Jaffe

Marie Borzo

Sandeep Damodar Bhide

Michael J Jaffe

George L Lundberg

Dhananlay Nagalkar

Avishek Jana

Vijay Kulavade

Manas Ranjan Goth

Anand Rau

Gaurav Dua

Nilang Mahendrakumar Joshi

Kshitiz Arora

Vanamali Porethi

Bicheng Xiao

Abhinit Parelkar

Mowlali Pinjari

Ankita Deshpande

Nithin Maruthi Prasad

Shashvat Bharti

Naveen Kumar Gajji

Ashutosh Chahar

Aleemuddin Syed

Abdul Rasheed Nagoor Gani

Kavita Shamrao Borkar

Mukesh Rama Kunder

Wael Yousef

Kiran Kumar Kandula

Vengatakrishnan Narayanasamy

Vikash Prasad

Vinayak Agashe

Nikunj Natwarlal Vasa

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 self-driven Artificial Intelligence 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.

Data lake and self-driven system for operating enterprise and supply chain 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

Control tower and self-driven system for operating enterprise and supply chain applications

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.

Data processing system and method for operating an enterprise application

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 discloses a method, a system and a computer program product for Autonomous sourcing and Category management. The invention includes demand sensing and generation through a category workbench interface providing actionable insights for sourcing operation. The invention includes an AI engine configured for recommending a sourcing strategy through prediction analysis and auto negotiation in sourcing operation of Supply chain.

Autonomous sourcing and category management

The present invention discloses a method, a system and a computer program product for risk management in supply chain. The invention includes structuring of risk data fields on an application user interface for creating risk data objects based on a SCM task. The invention includes predicting inherent risk associated with execution of the SCM task and generating control data fields on the application user interface for mitigating the inherent risk.

Risk management

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 discloses a method, a system and a computer program product for data processing and classification. The invention provides warm start and cold start classification tools for classification of data obtained from known or unknown entities. The system and method are also configured to be employed over blockchain based networks.

Data processing and classification

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Westfield, NJ, United States of America

Subhash Makhija