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.

Automating order taking in restaurants and drive-throughs.

Speech-Enabled Food Kiosks

Branded avatars provide a seamless, accurate, and scalable customer experience. They can increase order size by 15 to 18 percent, extend operation hours from 12 hours to 16 hours, and reduce customer wait time.

Violet is an AI-powered customer service assistant ready to take your order. This NVIDIA Tokkio reference application leverages NVIDIA Omniverse ACE to create interactive avatars that can see, perceive, converse intelligently, and provide recommendations to enhance customer service in places like restaurants.

Gathering rich data with intelligent video analytics (IVA).

Restaurant Analytics

Using NVIDIA Metropolis to deploy IVA across stores and restaurants delivers the rich data and insights that help managers improve efficiency, enhance customer experiences, and make critical decisions faster.

Leading QSRs are using IVA to improve queue and wait-time management, curbside pickup services, production quality and food safety, sanitation management, exterior and interior security, and consumer engagement.

Improving forecasting to meet customer demand.

Forecasting

NVIDIA-Certified Systems™ and NVIDIA RAPIDS™ data science libraries enable scientists to reduce extract, transform, and load (ETL) operations, train models faster, and Improve forecast accuracy. QSRs can run forecasts more frequently and improve forecast accuracy by as much as 20 percent to ensure they have the right products to meet customer orders.