Case Studies

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Food & beverage

AI on the line: enhancing order accuracy and efficiency in fast-food kitchens

AI-driven real-time kitchen error detection

Business Need

Streamline kitchen processes to maintain speed without compromising accuracy

Challenges

Human error under pressure, High-speed kitchen environments increase the likelihood of mistakes like missing or incorrect ingredients. Lack of standardization

Solution

Using object detection models in computer vision, the company deployed an AI-powered system to monitor kitchen operations in real time. Cameras installed in the kitchens observed the preparation process, while the AI system cross-referenced the visual data against the customer’s order displayed on the worker's screen. The AI system: Detected missing ingredients, or extra, undesired ones. Sent real time alerts to the worker if an issue was detected, allowing immediate corrections.

Results

  • Achieved over 95% accuracy in detecting missing or incorrect ingredients.
  • Reduced customer complaints related to incorrect orders by 30%.
  • Decreased food waste by 20%, significantly lowering operational costs.