If you’re in the restaurant business, you know that maintaining profitably is no easy task. There are so many variables to consider – from food and labor costs to menu planning and marketing. But one avenue that too few restaurateurs take advantage of is computer vision.
Contrary to popular belief, this technology can be used to drive revenue for restaurants – and in ways that are both innovative and practical. In this blog post, we’ll explore some of the ways that restaurants are powering up their existing security cameras with computer vision and AI to improve their bottom line.
See Kibsi in action!
One of the primary benefits of using computer vision and AI in restaurants is that it can help increase efficiency. For example, computer vision can be used to track inventory levels and identify when items need to be restocked. Computer vision platforms can also trigger alerts in real-time to waitstaff for events, such as a guest arriving to pick up a to-go order or if queues become too long and patrons start abandoning the in-store line or drive-thru. A computer vision platform like Kibsi collects data overtime to help restaurants predict customer demand, identify what items are being ordered and used most, optimize staffing levels, and more! These insights help restauranteurs streamline operations and run their businesses better.
Improve Customer Service
Another benefit of using computer vision and AI in restaurants is that it can help to improve customer service. For example, computer vision can be used to help alert staff in real-time about table readiness by identifying and alerting when plates need to be cleared, tables need to be bused, or even when a customer is getting antsy and ‘looking’ for their server. Historical data collected from a computer vision platform can help restauranteurs better understand customer wait and service times and improve their metrics, driving more revenue overtime.
Reduce Food Waste
Another benefit of using computer vision and AI in restaurants is that it can help to reduce food waste. For example, computer vision can be used to track expiration dates and identify when food is about to go bad. Additionally, AI can be used to predict customer demand and prevent overproduction, helping improve the bottom line and environment.
Computer vision and AI in restaurants can also help to enhance safety. For example, computer vision can be used to monitor food quality and cooking temperatures to ensure that food is cooked properly. Additionally, AI can be used to identify potential hazards, such as slip-and-fall risks.
Improve Marketing & Personalized Experiences
Some restaurants are even using computer vision and AI to help improve their marketing efforts. For example, computer vision can be used to track demographics and customer preferences. This information can then be used to improve sales and marketing efforts, create targeted ads, and even personalize the customer experience.
There are many ways savvy restauranteurs are leveraging their existing camera assets and computer vision to increase efficiency, improve customer service, and enhance safety. Let’s chat to see how your restaurants can take advantage of computer vision to drive revenue too!