Deliver New Efficiency to Quick-Service Restaurants

Transforming QSRs—From the Kitchen to the
Drive-Through

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.

Automate Order Taking With Branded Avatar

Learn how avatars can increase order size by 15 to 18 percent and extend operation hours from 12 hours to 16 hours or more.

Use Cases

Discover How the QSR Industry Is Using AI

The Conference for the Era of AI and the Metaverse

Developer Conference March 20-23 | Keynote March 21

Don't miss these three upcoming Restaurant sessions at GTC.

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.

News and Events

Resources

Take a Deeper Dive into AI in QSRs

Featured

Automate Order Taking With Branded Avatars

Learn more about how NVIDIA AI is bringing leading-edge technology to our everyday retail experiences.

Featured

Sessions

Accelerating End-to-End Data Science Workflows

Learn how to build and execute end-to-end, GPU-accelerated data science workflows that let you quickly explore, iterate, and move your work into production. In this self-paced lab, you’ll learn how to use RAPIDS to perform data analysis at scale with a wide variety of GPU-accelerated algorithms.

Speech AI—Riva API Demo

Take this self-paced lab to learn how to interact with the NVIDIA® Riva speech server to process various conversational AI requests. You’ll learn how to send audio to an automatic speech recognition (ASR) model and receive back text, use natural language processing (NLP) models to transform and classify text, and send text to a text-to-speech (TTS) model and receive back audio.

Achieve Your Organization’s Goals With Specialized Training

Develop the skills you need to do your life’s work in AI, data science, and more. The NVIDIA Deep Learning Institute (DLI) offers hands-on training in AI, accelerated computing, and accelerated data science.

NVIDIA Developer Program

Connect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs—all the tools necessary to successfully build apps with NVIDIA technology—through the NVIDIA Developer Program.

NVIDIA Inception

Evolve your startup with go-to-market support, technical expertise, training, and funding opportunities.

Partners

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