AI automation for hospitality: what works (and what doesn't)

You've been hearing for a while that AI will transform the hospitality sector. That's true, but probably not in the way you think. AI automation in hospitality isn't about robots in the kitchen or impressive screens at the entrance. It's about one thing: spending less time on work that doesn't create guest experience.

How much time are you losing to reservations and queries?

A typical restaurant with 50 covers receives 30 to 60 phone reservations per week. Add questions about allergies, opening times, the evening menu, and whether you can fit a birthday group of 12. That quickly adds up to 5 to 8 hours of phone work per week, done by you or a staff member who already has plenty of other tasks.

Then there are no-shows. The average restaurant loses 10 to 15% of its table capacity to guests who don't show up and don't call, according to OpenTable data (2024). Those are seats you could fill by automatically sending a reminder 24 hours in advance.

What can you automate in hospitality?

The most valuable automations are the tasks that take the most time and require the least expertise. In hospitality, these are:

• Taking and confirming reservations, 24/7, even during peak service
• Automatic no-show reminders, a simple message 24 hours ahead reduces no-shows by 20–40%
• Answering customer questions, "Do you have a gluten-free menu?" doesn't need to come from you
• Revenue forecasts, based on historical data and next Friday's weather
• Purchasing advice, how much meat do I order for this weekend?

Reservations and customer queries: the easiest win

Most hospitality owners start here, and rightly so. A system that automatically takes reservations via WhatsApp, phone, or your website, without you having to be there, immediately saves time and stress. The technology has come far enough that an AI phone assistant takes reservations, answers questions, and automatically suggests alternative time slots when the requested one is full.

Staff planning and purchasing: good, but later

Smart purchasing and scheduling automation exists, but it's more complex than automating reservations. You need historical data: at least 3 to 6 months of revenue and occupancy figures before a system can make reliable predictions.

What it does deliver: an average of 15 to 20% less food waste and better staff planning without endless spreadsheet sessions. But don't start here if you're not yet handling reservations automatically.

What does NOT work with AI in hospitality?

Honestly, there are things where automation will cost you more than it saves:

• Kitchen robotics, too expensive and too unreliable for most restaurants
• AI that adjusts the menu based on "taste profiles", too complex, too little return
• Facial recognition for returning guests, privacy law makes this a legal risk
• Fully automated service, not yet profitable for the average restaurant

What does AI automation cost for a hospitality business?

Costs depend on what you automate. Realistic figures for an average restaurant:

• Reservations + customer queries: €2,000–€5,000 upfront, then €100–€500/month
• Revenue forecast linked to your POS system: €3,000–€7,000 upfront, €250–€600/month
• Full integration (reservations, purchasing, queries): €8,000–€15,000 upfront, €750–€1,500/month

Return on investment: a restaurant saving 5 hours per week on phone and reservation work, at €22 average hourly labour cost, recovers a €3,000 investment in under 6 months.

Where do you start?

The simplest first step is automating reservations and customer queries. You need: an overview of which questions come in each week, your current reservation system (TheFork, Resdiary, Zenchef, or just a diary), and someone to build and connect it for you.

Don't buy tools without a plan. Simply identify where you're losing the most time right now, and fix that first.