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How Restaurant AI Works

Hospitality AI Explained

Learn what it is, how it’s reshaping the industry today, and what it could mean for your future.

How AI works in hospitality

AI helps restaurants run more smoothly by using data to make faster, smarter decisions. Operating behind the scenes, it automates tasks like inventory management and staff scheduling and provides real-time insights. This boosts efficiency, cuts costs, and lets you and your team focus on what matters most—the guest experience.

Christian’s 5-minute guide to AI for restaurants

Watch Fourth CTO Christian Berthelsen share his vision for the future of the industry, focusing on maximising profit in today’s challenging landscape.

”At Bar Louie, we see the promise of AI. Not just for front of house, but for our back of house processes as well as recruiting, hiring, scheduling, and paying team members. As we incorporate AI into our tech stack, we believe it will make managers more effective and help to streamline operations.”

— Roberta Frierson, SVP of Technology, Bar Louie

AI Forecasting: Identify the insights that drive profitable actions

AI forecasting helps restaurants find key insights to make better decisions in labor, inventory, and menu planning. Discover how AI-driven analysis can improve operations and boost performance.

“I believe our customers have come to the same conclusion as I have – AI is set to transform the hospitality industry.”

Christian Berthelsen
Chief Technology Officer, Fourth

Responsible AI: Shaping a better future

Responsible AI means creating and using AI systems that are ethical, fair, and transparent. This approach ensures AI benefits society while minimising potential risks. At Fourth, our team is committed to following rigorous standards, so customers can trust our AI solutions to be safe and reliable.

Find our code of responsible AI practices below.

Fourth’s code of responsible AI practice

We’re dedicated to offering the best AI experience for our customers, supported by our own Code of Practice. Every principle is important, but it’s our full commitment to them all that ensures we keep our promise.

  • Fairness & Bias Mitigation
    • Our AI systems prioritize fairness by using diverse and representative data, with regular testing to identify and mitigate biases. This ensures that all users are treated equitably, fostering an inclusive and unbiased platform.
  • Privacy & Security
    • User privacy is a top priority. We adhere to strict data protection regulations, securing personal data with robust security protocols to guard against vulnerabilities and cyber threats. Transparency in how information is used ensures confidentiality and trust.
  • Accountability & Risk Management
    • We take responsibility for the outcomes of our AI systems, with mechanisms in place to address and rectify any negative impacts. Regular audits and proactive risk management help ensure continued reliability, safety, and accountability throughout the AI lifecycle.
  • Explainability & Disclosure
    • Our AI systems are designed to explain their decisions and actions clearly, making processes transparent and easy for users to understand. We also ensure users are informed whenever they interact with AI-generated content, allowing them to make fully informed decisions.
  • Accessibility & Stakeholder Engagement
    • We are committed to making our AI systems accessible to all users, including those with disabilities. By designing inclusive interfaces and engaging with a broad range of stakeholders—users, ethicists, and regulatory bodies—we ensure balanced and ethical system development.
  • Continuous Audits & Feedback
    • Regular audits ensure our AI systems operate as intended and comply with ethical standards. We also provide mechanisms for user feedback, which helps us continuously improve and refine our systems to better meet real-world needs.