Deliver New Efficiency to Quick-Service Restaurants

Transforming QSRs—From the Kitchen to the Drive-Through

Introduction
Use Cases
News and Events
Solutions
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Introduction
Use Cases
News and Events
Solutions
Get Started

Accelerating QSRs With AI

AI is helping quick-service restaurants (QSRs) address labor shortages, drive operational efficiency, transform the customer experience, and become more agile and efficient. With computer vision and speech recognition technologies, QSRs can automate food ordering through AI-enabled branded avatars, predict when orders will be ready, optimize staffing, and deliver food faster—creating a comprehensive end-to-end customer experience.

Bringing Agility to QSR With AI

To address challenges and meet consumer expectations, QSRs are turning to AI. Learn about the most important use cases today.

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QSR Sessions at GTC

Discover how quick-service restaurants (QSR) are transforming their businesses with AI. Explore GTC sessions featuring innovators driving efficiency, personalization, and growth across the industry.

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Use Cases

Discover How the QSR Industry Is Using AI

Catch Up on the Latest Industry News

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Solutions

Industry Technology, From Edge to Data Center to Cloud

Learn about AI hardware and software for QSRs.

Deliver State-of-the-Art Customer Experiences

The NVIDIA Tokkio reference workflow—built with NVIDIA ACE—leverages Riva NIM microservices for speech, Nemotron NIM microservices for intelligence, and Audio2Face NIM microservices for animation. With ACE Agent, easily connect to vision models, recommenders, and NVIDIA Omniverse™ RTX microservice to elevate the customer service experience.

Ensure Food Quality and Operational Excellence

Due to labor shortages and high volumes in drive-throughs, restaurants are bringing automation into the kitchen with NVIDIA Metropolis vision AI and NVIDIA independent software vendor (ISV) partners. These advanced solutions are providing real-time guidance into food production quality and waste, ensuring the accuracy of orders, and delivering insights to help managers improve store efficiency and ensure a consistently positive customer experience.

Improve Forecasting and Inventory Optimization

RAPIDS allows data scientists to train more models, iterate quickly, and scale services and shared knowledge. Restaurants can run forecasts more frequently and improve forecast accuracy by as much as 20 percent to ensure they have the right products and food quality, waste, and safety are being monitored.

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Every single fast-food restaurant and retail store should have automated avatar agents that represent each brand to provide excellent customer service.

– NVIDIA CEO Jensen Huang on an episode of Jim Cramer’s Mad Money

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