Kpmg Llp

James Johnson Gardner

John Hyung Lee

Justin Mathew Edwards

David L Green

Timothy J Cerino

Andrew Yuan

Adam Helio Rosa

Kyle B Chen

Christian Alexander Manaog

Yeshwanth Somu

Punit S Orpe

Xin Cheng

Yang Zhou

Raghav Saboo

Alex Perusse

Niels Hanson

Laurence Anthony Brown

Erik Ernst

Torey C Bearly

Wendy Du

Sphoorthy Pamaraju

Ranjan Vivek Mannige

Can Ozuretmen

Yuan Zhang

Gregory Alexander Vorsanger

Gabriel C Stoenescu

Michael Ahn

Chenming Xue

David Scripka

Rachel Wagner-kaiser

Martin Kaestner

David Anthony Scripka

Ryan Christopher Soileau

Dylan Kab

Ricardo Manuel Ramos Dos Santos Neves

Rachel A Wagner-Kaiser

The invention relates to computer-implemented systems and methods for identifying and further preventing commercial or contract leakage across multiple different procurement relationships. This may involve ingesting a contract extracting commercial terms, such as price, rates, etc. Invoices may be similarly ingested and commercial terms may be extracted on a line item basis. An embodiment of the present invention may identify various types of commercial leakage, such as rate/price discrepancies, full/partial duplication, unrealized discounts, unrealized rebates, disallowance of charges (travel expenses), etc.

System and method for implementing a commercial leakage platform

An integrated platform system that employ a series of machine learning techniques and prediction and detection units that can process input data and extract and generate meaningful insights and predictions therefrom. The system integrates together multiple different data storage types and applications that generates data of different types, and an associated processing system for processing the different data types, store the data in a common data model to normalize the data, determine the data lineage of the data, and then process the data using different types of techniques. The data can also be processed by a prediction unit for generating meaningful insights and predictions or by an anomaly detection unit for detecting one or more anomalies in the data.

System and method for enriching and normalizing data

The invention relates to computer-implemented systems and methods for analyzing and standardizing various types of input data such as structured data, semi-structured data, unstructured data, and images and voice. Embodiments of the systems and the methods further provide for generating responses to specific questions based on the standardized input data.

System and method for analysis of structured and unstructured data

The invention relates to computer-implemented systems and methods for analyzing data from a variety of data sources. Embodiments of the systems and the methods further provide for generating responses to specific questions based on the analyzed data, wherein the generating includes: retrieving related documents associated with the analyzed data; determining which information should be reported from which of the retrieved related documents; and providing a response based on the determination and a graph schema associated with the related documents.

System and method for analysis and determination of relationships from a variety of data sources

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Huntington Beach, CA, United States of America

James Johnson Gardner