Gibsonia, PA, United States of America

Richard Gigliotti

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Richard Gigliotti: Innovator in Machine Learning Technologies

Introduction

Richard Gigliotti is a notable inventor based in Gibsonia, PA (US). He has made significant contributions to the field of artificial intelligence, particularly in the area of machine learning technologies. His innovative work focuses on predicting opportunities for special pricing agreements, which has the potential to transform how businesses approach pricing strategies.

Latest Patents

Richard holds a patent for "Artificial Intelligence (AI) based methods and systems for predicting opportunities for special pricing agreements." This patent outlines a method that includes receiving user input regarding a stock keeping unit (SKU) and a customer name. It accesses a special pricing agreement (SPA) database to determine customer type, address, and any historical SPAs. The method utilizes a machine learning model to predict a set of SPA opportunities, each with respective costs and confidence intervals. It identifies the highest confidence interval opportunity and the lowest cost opportunity, ultimately notifying users of these findings.

Career Highlights

Richard is currently employed at Wesco Distribution, Inc., where he applies his expertise in machine learning to enhance pricing strategies. His work has garnered attention for its innovative approach to utilizing AI in business operations.

Collaborations

Richard collaborates with talented professionals such as Rafael Da Matta Navarro and Shashi Dande, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Richard Gigliotti's contributions to machine learning and artificial intelligence exemplify the impact of innovative thinking in business. His patent and work at Wesco Distribution, Inc. highlight the importance of technology in optimizing pricing strategies.

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