This inventor holds 1 USPTO granted patent and 9 published patent applications. Top assignee: Mastercard International Incorporated. 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: Natesh Babu Arunachalam: Innovating Corporate Travel Recommendations
Introduction
Natesh Babu Arunachalam is an inventor associated with Herriman, Utah. His patent work addresses how artificial intelligence can help users find travel options that align with their organization’s policies and environmental, social, and governance (ESG) goals.
Latest Patents
Arunachalam is named on one patent, titled “Systems and Methods for Identifying Travel Options for Users Consistent with Corporate Travel Policies.” The invention describes a computer-implemented method that receives a user’s travel request and considers the organization’s ESG goals and carbon offset program. A generative AI model uses this information to produce a travel recommendation that includes an itinerary and a carbon offset purchase option. After the user accepts the recommendation, the system can purchase the selected offset from a participating provider. The patent count provided is 1 patent.
Career Highlights
Arunachalam is associated with Mastercard International Incorporated. His patented work combines travel planning, corporate policy considerations, generative AI, and carbon offset purchasing in a single recommendation process.
Collaborations
The provided information lists Justin Harnish and Mohit Taneja as Arunachalam’s coworkers. Their specific roles in the patent or related work are not specified.
Conclusion
Natesh Babu Arunachalam’s patent presents an AI-supported approach to corporate travel planning that incorporates organizational policies and carbon offset options into recommendations for travelers.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
