This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2018.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2018
Title: Fei Zhao: Innovator in Apparel Size Distribution Technology
Introduction
Fei Zhao is an accomplished inventor based in Redmond, WA (US). He has made significant contributions to the field of online shopping through his innovative patent. His work focuses on improving the user experience by providing accurate size distributions for apparel.
Latest Patents
Fei Zhao holds a patent titled "Data collection for creating apparel size distributions." This patent describes a method for collecting dimension data, such as height and chest size, associated with users. The collected data is leveraged to generate and display size distributions in association with products in an online marketplace. The size distributions summarize data to help users make informed sizing decisions based on individuals with similar dimensions who have purchased the same garment. Additionally, the patent outlines how users can compare values corresponding to ranges of dimensions in the context of garment sizes. The values are determined by adjusting a baseline based on the number of users who acquire a garment, return it, or provide negative feedback regarding its size. Graphical representations, such as pie charts and bar charts, are presented to users to provide contextual recommendations and streamline online shopping transactions.
Career Highlights
Fei Zhao is currently employed at Amazon Technologies, Inc., where he continues to innovate in the realm of online retail. His work has had a significant impact on how consumers interact with apparel sizing in e-commerce.
Collaborations
Fei Zhao collaborates with Huafeng Jin, contributing to advancements in technology that enhance the online shopping experience.
Conclusion
Fei Zhao's innovative approach to apparel size distribution technology exemplifies the importance of data-driven solutions in e-commerce. His contributions are paving the way for a more user-friendly online shopping experience.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
