Company Filing History:
Years Active: 2025
Title: Naval Shah - Innovator in Price Sensitivity Prediction
Introduction
Naval Shah is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of predictive modeling, particularly in understanding user price sensitivity. His innovative approach leverages data acquired from in-store sensors to enhance online shopping experiences.
Latest Patents
Naval Shah holds 1 patent for his invention titled "Using a trained model to predict a user's price sensitivity based on data acquired from in-store sensors." This patent describes a system that utilizes a trained model to determine a price sensitivity feature for users of an online platform. The system gathers input data through a user interface and in-store behavior data, applying a price sensitivity model to predict a score indicative of the user's price sensitivity. Based on this score, the system identifies actions to prompt users to convert items, thereby enhancing the shopping experience.
Career Highlights
Naval Shah is currently employed at Maplebear Inc., where he continues to innovate in the realm of data-driven solutions. His work focuses on integrating technology with consumer behavior to create more effective online retail strategies.
Collaborations
Some of his notable coworkers include Brent Scheibelhut and Charles Wesley, who contribute to the collaborative environment at Maplebear Inc. Their combined expertise fosters innovation and drives the development of cutting-edge solutions.
Conclusion
Naval Shah's work exemplifies the intersection of technology and consumer behavior, showcasing how data can be harnessed to improve user experiences in online shopping. His contributions to predictive modeling are paving the way for future innovations in the retail sector.