State of the industry

The true cost of human error in quick service restaurants

In fast-paced restaurant operations, even small mistakes — from missed ingredients to inconsistent preparation — can quickly compound into remakes, wasted food, slower service, and inconsistent quality, ultimately impacting margins and customer experience. 

42%
Restaurant operators face a 42% unprofitability rate, making remakes and wasted food harder to absorb.
110%
Limited-service restaurants face 110% turnover, creating constant onboarding and execution inconsistency.
21%
Mobile order-ahead orders are late 21% of the time, impacting speed and customer satisfaction. 
85%
Third-party delivery orders are only 85% accurate, impacting customer satisfaction and brand trust.
Example use cases

Detect & correct errors before they become costly mistakes

Strivr embeds quality assurance directly into kitchen execution. Instead of relying on memory or post-order corrections, it detects issues in real time and guides crew members to fix them — before the order is completed. No guesswork. No inconsistency. Work stays on track.

Strivr embeds quality assurance directly into kitchen execution. Instead of relying on memory or post-order corrections, it detects issues in real time and guides crew members to fix them — before the order is completed.

Order assembly accuracy

Missing or incorrect ingredients are flagged in real time before orders are completed

Recipe compliance

Incorrect portions or skipped steps are detected in the moment to ensure consistency

Food safety procedures

Missed safety steps or improper handling are identified and corrected in real time

Prep station setup

Incorrect setups are flagged before impacting speed and efficiency

Inventory handling

Errors in restocking or movement are identified before impacting availability and accuracy

Shift-to-shift consistency

Execution deviations are identified to ensure every shift meets the same standards

What kinds of errors can Strivr AI detect?

Smart glasses integration allows Strivr AI to “see” what your workers see in real-time — enabling instant, hands-free detection of operational errors, inconsistencies, missed steps, missing components, and safety violations that occur within workers’ field of view. In other words, if an issue or error is visible to your worker, Strivr AI will see it and detect it.

How does Strivr AI know if and when a mistake has been made?

Strivr builds customer-specific visual language models (VLMs) to detect when a procedure or task is incorrect, incomplete, or out of sequence. VLMs are AI systems that combine computer vision and natural language processing to understand, interpret, and learn from image- and text-based inputs.

Our Engineering team trains your VLM using multimodal media files (images, videos, PDFs, etc.) that illustrate and/or describe how specific procedures, operations, and workflows are carried out at your company.

Strivr AI leverages this foundational knowledge base to visually compare a specific procedure against its internal understanding of what the “correct” steps for the procedure should look like.

If the execution of the procedure is visually inconsistent with the “correct” outcome, Strivr AI delivers voice-based, audio guidance via the built-in speakers on your workers’ smart glasses to inform them that a mistake has been made, then provides detailed instructions on how to fix it.

Does Strivr AI only work on smart glasses? What devices are supported?

Strivr AI is optimized for smart glasses because they enable hands-free user interaction, real-time interpretation of visual input,  and seamless delivery of voice-based guidance in the flow of work. Supported devices currently include Vuzix Smart Glasses and Ray-Ban Meta AI glasses.

Strivr AI also runs on Android smartphones and tablets for workflows that don’t require hands-free interaction, giving teams flexibility based on their needs, preferences, and working environment.

Does Strivr AI replace operators or automate tasks?

No. Strivr AI supports operators by helping them catch and correct mistakes in real time, improving operational efficiency, standardizing frontline execution, and enhancing output quality without sacrificing human control.

How is Strivr AI different from traditional training?

Training prepares workers ahead of time. Strivr AI supports workers while they work by detecting operational errors and delivering corrective guidance as tasks are performed in real time.

By providing workers with on-demand access to AI-powered guidance and quality assurance support whenever and wherever they need it, Strivr AI can help your team ramp new hires faster, accelerate onboarding, and reduce the need for extensive shadowing and constant supervision. Strivr AI is not intended to fully replace traditional training, but it can certainly be used to bolster, facilitate, and reinforce your current training program.
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