Bengaluru, India

Navesh Garg

This inventor holds 1 USPTO granted patent. Top assignee: Walmart Apollo, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Navesh Garg. Retrieved from https://idiyas.com/inventor/navesh-garg

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

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Navesh Garg and Conversational Search Innovation.

Introduction

Navesh Garg is an inventor based in Bengaluru, India. His patent work addresses conversational search, helping users refine catalog searches through natural-language requests. He is associated with Walmart Apollo, LLC.

Latest Patents

Garg is named on 1 patent, titled “Multi-facet Actions for Improved Conversational Item Search Refinement.” The invention describes a system that identifies facets and related actions in a user’s utterance, such as exact-match, exclusion, greater-than, or less-than filters. It applies the resulting filters to catalog items, scores the remaining candidates for relevance, and returns the highest-scoring items as search results. By refining searches across multiple facets in fewer conversational turns, the approach aims to improve result accuracy and user efficiency while reducing system resource use.

Career Highlights

Garg’s documented patent contribution focuses on applying structured, multi-facet filtering to conversational item search. His work connects natural-language interactions with catalog filtering and relevance scoring.

Collaborations

Garg’s patent work is associated with Walmart Apollo, LLC. Raghavendra Subramanya is identified as a coworker.

Conclusion

Navesh Garg’s patent contribution advances conversational catalog search by combining multi-facet filters with relevance scoring to help users find items more efficiently.

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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