Company Filing History:
Years Active: 2023
Title: Innovations by Thomas Joseph in Demand Forecasting
Introduction
Thomas Joseph is an accomplished inventor based in Atherton, California. He has made significant contributions to the field of machine learning, particularly in demand forecasting. His innovative approach utilizes event streams to enhance the accuracy of demand predictions for various establishments.
Latest Patents
Thomas Joseph holds a patent for a machine learning system designed for forecasting demand. The patent, titled "Event streams in a machine learning system for demand forecasting," outlines a process that leverages event streams to predict how events in the geographic area surrounding an establishment impact demand forecasts. This system allows for the determination of various distances from the establishment, which can be categorized and analyzed. By grouping events based on attributes such as event category and proximity, the system generates event streams that serve as inputs alongside demand data. This method enables the computation of demand forecasts that consider fluctuations in traffic patterns due to nearby events. Additionally, the event streams can be filtered based on their impact on the demand for the establishment's products and services.
Career Highlights
Thomas Joseph is currently employed at Legion Technologies, Inc., where he continues to develop innovative solutions in the realm of machine learning and demand forecasting. His work has positioned him as a key player in the industry, contributing to advancements that benefit various businesses.
Collaborations
Some of Thomas's notable coworkers include Yahya Sowti Khiabani and Sanish Mondkar. Their collaborative efforts have further enhanced the innovative projects at Legion Technologies, Inc.
Conclusion
Thomas Joseph's contributions to demand forecasting through his patented machine learning system exemplify the impact of innovation in technology. His work not only advances the field but also provides valuable tools for businesses seeking to optimize their demand predictions.