The customer created a fully automated, standalone restaurant kiosk that takes orders, cooks, and delivers a pizza in under 10 minutes. Each unit required minimal human supervision, would be easy to install in busy airports and hospitals, and could use automation to consistently deliver a high-quality product and experience at scale. This innovation comes as fast casual restaurant chains rapidly evolve, driven by consumer demand for speed, competition from delivery apps, and labor shortages. However, it proved challenging to produce machine-made pizza while maintaining consistent speed, convenience, and quality.
By the numbers: Viam facilitates precise automation
95%
ML model accuracy in an early pilot, with projections to hit 99% in 3 months
65%
faster machine development, speeding kiosk time to market
30%
YoY revenue growth forecasted from cost savings
The Challenge

Inconsistent, error-prone, and costly automated pizza production

Making a machine-made pizza is a complex process. While machines excel in precise and predictable motions, any task involving dough, sauce, and toppings introduces physical variations in texture, consistency, and alignment. This variation can result in errors that, if undetected by the system, may produce unsellable products and cause costly operational downtime.

The customer needed to ensure their automation stayed on track. They wanted to:

  • Verify accuracy in critical cooking tasks (prep, baking, and boxing)
  • Collect data to monitor and optimize each step
  • Minimize errors and make adjustments for cost efficiencies

Alternative solutions involving cameras, complex machine learning workflows, and excessive human interventions proved costly and cumbersome, negating the expected savings and speed from automation. They needed a flexible, reliable, and affordable solution.

the solution

Dependable, accurate, and affordable AI-powered QA

Viam proposed a practical solution for seamless monitoring and ensuring consistent quality:

Easy & secure data collection: Integrate with any hardware, sensors, and cameras to easily capture data or images and upload them securely to the Viam cloud, creating a fast path to ML learning workflows.

A powerful, unified cloud: Leverage unlimited cloud storage and compute to train new models from larger data sets as needed, driving optimizations for smarter machines and better products.

Built-in labeling & machine learning: A simple image labeling interface and native ML pipelines quickly learn from real pizza images, identifying good outcomes and evaluating cooking at each step—no complex integrations required.

Smooth model deployments & updates: Viam enables one-click model deployment and seamless over-the-air updates, ensuring machines can always run smoothly with the most up-to-date and efficient software.

Resilient edge scoring: Viam facilitates uninterrupted functionality with local scoring models, eliminating Wi-Fi dependencies and maintaining performance in any connectivity environment.

Universal compatibility: Viam’s plug-and-play flexibility allows for smooth integration with any hardware and software components, enabling enhanced data sharing and interoperation regardless of manufacturer.

the outcome

Viam’s innovative solution allowed the customer to automate pizza quality assurance with promising results. Viam provided a practical approach for seamless monitoring and maintaining consistent quality. This AI-powered, cost-effective QA system enhanced the speed of pizza preparation while improving quality and convenience—setting the stage for long-term success.

Early pilots demonstrated high model accuracy, with projections to reach 99% within three months. The solution also accelerated machine development, reducing kiosk time to market, and significant year-over-year revenue growth is expected from cost savings.

Request my free demo