Islamabad, Pakistan

Muhammad Saud Tahir

This inventor holds 1 USPTO granted patent. Top assignee: Aioapp Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Muhammad Saud Tahir. Retrieved from https://idiyas.com/inventor/muhammad-saud-tahir

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Muhammad Saud Tahir and the Tableside AI Waiter

Introduction

Muhammad Saud Tahir is an inventor based in Islamabad, Pakistan. His work includes a patent for a tableside artificial intelligence device designed to personalize guest experiences in hospitality and retail settings.

Latest Patents

Tahir’s listed patent, “Tableside AI waiter for personalized guest experience,” describes a device intended to assist with tasks commonly performed by human staff. It combines microphones, a camera, a tablet processor, cloud computing, artificial intelligence, and computer vision.

The device is designed to onboard new customers and recognize returning ones, present catalogs of offerings, and record customer preferences, allergies, and other requirements. It can also manage orders and requests, display targeted advertisements, and provide real-time updates on their status. The patent record lists 1 patent for Tahir.

Career Highlights

Tahir is associated with Aioapp Inc. His patented concept applies AI and computer vision to customer service, with the aim of supporting personalized interactions in restaurants, bars, hotels, resorts, and retail outlets.

Collaborations

Tahir’s listed coworkers include Zia Hasnain and Umair Arshad. Their shared professional context is associated with Aioapp Inc.

Conclusion

Muhammad Saud Tahir’s patent presents a technology-driven approach to customer service, using AI to help establishments manage guest preferences, orders, and updates.

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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