McKinney, TX, United States of America

Mark Pond

This inventor holds 2 USPTO granted patents. Top assignee: Capital One Services, LLC. Active years: 2022-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mark Pond. Retrieved from https://idiyas.com/inventor/mark-pond

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2022-2023

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2 patents (USPTO):Explore Patents

Title: Mark Pond: Vehicle Auction Pricing Inventions.

Introduction

Mark Pond is an inventor based in McKinney, Texas. His work includes patent inventions focused on estimating vehicle auction prices, including prices after repossession. He is associated with Capital One Services, LLC, and has 2 patents.

Latest Patents

Pond’s listed patents, “Methods and Systems for Determining Prices” and “Methods and Systems for Determining Auction Prices,” describe computer-implemented approaches to estimating vehicle auction values. The methods use wholesale auction data and vehicle attributes to group vehicles by characteristics and develop corresponding regression models.

For a target vehicle, the system uses its attributes and relevant economic indicators to estimate a wholesale auction price. It then applies a discount factor to estimate the vehicle’s post-repossession auction price. These techniques are designed to support data-driven vehicle valuation.

Career Highlights

Pond’s patent work addresses the use of statistical modeling and vehicle-market data in auction price estimation. His listed professional affiliation is Capital One Services, LLC.

Collaborations

Pond’s listed coworkers include Yingbo Li and Senthil Natarajan.

Conclusion

Mark Pond’s patents focus on estimating wholesale and post-repossession vehicle auction prices through vehicle data, economic indicators, and regression models.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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