By Crystina Clauson, CEO of Make Good Lemonade
AI is everywhere right now—from news headlines to startup pitches—but for restaurant professionals, it can feel more like hype than help. What does AI actually do in a foodservice setting? And how can operators use it without hiring a tech team or risking customer trust?
The answer starts with one key idea: AI is only as useful as the data and instructions it receives. It doesn’t “know” things the way people do. It predicts based on patterns. And when the data is incomplete or the instructions are vague, it makes things up. The industry calls these errors hallucinations.
Let’s break down what AI is, how it works, and how restaurants can begin putting it to use.
What AI Really Is (and Isn’t)
Artificial Intelligence is a broad term. Today, most restaurant applications fall under Artificial Narrow Intelligence (ANI). These are systems trained to do specific tasks very well. Think order prediction, voice assistants, or dynamic pricing.
More advanced forms of AI, such as Artificial General Intelligence (AGI), would match or Artificial Super Intelligence (ASI) surpass human thinking. These remain theoretical and are likely several years away.
The 7 Branches of AI and How You’ll Encounter Them
The technical world breaks AI into seven categories. Here’s how a few show up in restaurants:
- Computer Vision — Identifying peak hours or operational inefficiencies using cameras.
- Expert Systems – Restaurant tech desk support – Giving AI symptoms of an issue and AI returning the most likely root cause and steps to resolve
- Fuzzy Logic — Adjusting a walk-in’s temperature based on humidity or airflow
- Language Processing — A chatbot taking reservations on your website
- Machine Learning — Recommending menu items based on order history
- Neural Networks/Deep Learning – Optimizing food delivery routes
- Robotics — Prepping salads, making pizzas, flipping burgers
While this may sound futuristic, many of these technologies are already being used in chains, ghost kitchens, and independents.
From Theory to Tactics: Real-World Use Cases
Here’s how restaurants are putting AI to work today:
- Handle high-volume tasks
Need to summarize 2,000 customer comments? AI can group common themes, analyze sentiment, and save hours of review time. - React to operational issues
Running low on ingredients? An AI bot can remove affected items from your POS, your online menu, and notify your team. - Improve marketing precision
Predictive tools help identify when a “sleepy” guest would be most likely to return and send a well-timed offer to bring them back. - Support labor with clarity
Translate prep instructions, standardize training, or guide new team members through complex steps using AI agents.
AI should support teams, not replace them. When used properly, it frees staff to focus on service and execution while removing repetitive administrative work.
Getting Started Without Getting Stuck
If you’re not already using AI, you’re not behind. But it’s a good time to start exploring. Most operators begin in one of two ways:
- Solving a pain point
Start small. Tools like ChatGPT or Claude can help draft training guides, summarize feedback, or generate content. - Optimizing across systems
If you’re planning for growth, ask your tech partners how AI fits into your POS, loyalty, or inventory tracking.
Just remember: garbage in means garbage out. The value you get from AI depends on the quality of your inputs—your data, instructions, and expectations.
Final Thought
AI is not magic, but it is powerful. It is also more accessible than many operators realize. With the right mindset and approach, any restaurant can start using AI today and build a foundation for smarter, more resilient operations in the future.
If you’re feeling overwhelmed, you’re not alone. You don’t need to be a data scientist. You just need to be clear, curious, and open to learning.
About the Author
Crystina Clauson is the CEO of Make Good Lemonade, where she helps restaurant brands grow their off-premises business and integrate smarter tech solutions. With over a decade in restaurant and hospitality technology, including managing 12 brands and nearly $100 million in annual digital sales, Crystina brings real-world insight to every conversation.
