This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Blue Yonder Group, Inc.. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Shyam Narasimhan: Innovator in Demand Forecasting
Introduction
Shyam Narasimhan is a notable inventor based in Irving, TX (US). He has made significant contributions to the field of demand forecasting through his innovative patent. His work focuses on integrating price-demand elasticity into machine learning models, which enhances the accuracy of demand predictions.
Latest Patents
Shyam Narasimhan holds a patent titled "Price-demand elasticity as feature in machine learning model for demand forecasting." This patent describes a system and method for identifying one or more price-demand elasticity causal factors to forecast demand. The invention includes a computer system comprising a processor and memory, which trains a machine learning model to identify external causal factors influencing product demand. The model generates price-demand elasticity causal factors to predict target outcomes for product demand. Ultimately, it predicts demand based on the identified external factors and generated elasticity factors.
Career Highlights
Shyam Narasimhan is currently employed at Blue Yonder Group, Inc., where he applies his expertise in machine learning and demand forecasting. His innovative approach has positioned him as a key player in the development of advanced forecasting systems.
Collaborations
Shyam collaborates with Felix Christopher Wick, contributing to the advancement of their projects and enhancing the capabilities of their team.
Conclusion
Shyam Narasimhan's work in demand forecasting through machine learning represents a significant advancement in the field. His innovative patent showcases his ability to integrate complex factors into predictive models, ultimately benefiting businesses in understanding and anticipating market demands.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
