This inventor holds 2 USPTO granted patents. Top assignee: Lti Mindtree Ltd. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Vaishali Mahesh Deshmukh: Innovator in Product Return Prediction
Introduction
Vaishali Mahesh Deshmukh is a prominent inventor based in Mumbai, India. She has made significant contributions to the field of product return prediction through her innovative methods and systems. Her work is particularly relevant in today's e-commerce landscape, where understanding product returns is crucial for businesses.
Latest Patents
Vaishali holds a patent for a "Method and system for predicting likelihood of return of a product." This patent describes a return prediction system that utilizes both static and dynamic data associated with a product. The data is obtained through a data acquisition module and is preprocessed using a preprocessing module that applies multiple base classifiers. The individual predictions from these classifiers are then combined using a meta-classifier, which generates a final prediction regarding the likelihood of a product being returned. This prediction can be made at various stages, including before and after the purchase of the product. Additionally, a notification module is included to inform either the customer or the retailer based on the prediction.
Career Highlights
Vaishali is currently employed at LTI Mindtree Ltd, where she continues to develop her innovative ideas and contribute to the company's success. Her work has garnered attention for its practical applications in the retail and e-commerce sectors.
Collaborations
Some of her notable coworkers include Nishant Bhatnagar and Vijaya Rajan Shankar, who collaborate with her on various projects within the company.
Conclusion
Vaishali Mahesh Deshmukh is a trailblazer in the field of product return prediction, with her innovative patent addressing a critical need in the market. Her contributions are paving the way for more efficient retail practices and enhancing customer satisfaction.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile