Trapti Singhal

Title: Innovations by Trapti Singhal

Introduction

Trapti Singhal is an accomplished inventor based in Bengaluru, India. She has made significant contributions to the field of machine learning and demand forecasting. With a total of 2 patents, her work focuses on enhancing predictive models and improving demand accuracy in supply chain management.

Latest Patents

Trapti's latest patents include "Evaluation of predictions as individual probability density functions" and "Detecting and reacting to unseen long term event in demand forecasting." The first patent discloses a system and method to train machine learning models, generate predictions, and evaluate these predictions as individual probability density functions. This innovation involves training two machine learning models to predict mean demand and variance, ultimately generating a confidence interval for stocking levels.

The second patent addresses the detection and reaction to unseen events in demand forecasting. It outlines a method for preparing data from a supply chain domain, selecting features, and training a machine learning model to generate demand predictions. The system monitors these predictions to detect unseen events and revises the predictions accordingly, ensuring accuracy in forecasting.

Career Highlights

Trapti Singhal is currently employed at Blue Yonder Group, Inc., where she applies her expertise in machine learning and demand forecasting. Her innovative approaches have significantly impacted the efficiency of supply chain operations.

Collaborations

Some of her notable coworkers include Felix Christopher Wick and Sunny Kumar, who contribute to the collaborative environment at Blue Yonder Group, Inc.

Conclusion

Trapti Singhal's contributions to machine learning and demand forecasting exemplify her innovative spirit and dedication to advancing technology in supply chain management. Her patents reflect her commitment to improving predictive accuracy and operational efficiency.