Risk score per booking (low / medium / high)
AI Booking's goal is to make booking, communication, and administration run with less manual work.
Feature
AI predicts which guest is likely not to show up
AI Booking is an online appointment scheduling system (SaaS) for Hungarian service providers — hairdressers, beauticians, doctors, trainers, photographers — that handles bookings, guest communication, payment, and Hungarian invoicing in one place. This page introduces the no-show prediction feature. No-shows occur in 8–15% of bookings on average. AI Booking's machine learning monitors booking patterns — first-time vs. returning, cancellation history, booking channel, service type, time of day — and assigns a risk score to every new booking. For high-risk bookings, it can automatically suggest requesting a deposit or sending an extra reminder, noticeably reducing lost capacity.
What does this mean in practice?
Picture an average day with AI Booking running in the background. In the morning, before you've even walked into your business, the first booking has already happened: a returning guest picked a time slot on their phone at 7:42am and received an automatic confirmation email. Your calendar has updated, and all you do is glance at your phone over breakfast to see what's waiting for you that day. AI predicting which guest is likely not to show up was built exactly to give you this peace of mind: a risk score per booking (low / medium / high), automatic deposit requests for risky appointments, and an extra SMS reminder for high-risk guests — all without you having to sit by your phone all day.
While you're working, guests don't interrupt you with urgent calls, because your online booking page is available 24/7. In the afternoon, when you check back in, you review the incoming bookings, cancellations, and payments in a few minutes — and importantly, everything is organized, searchable, and exportable. The guest registry remembers what each person liked last time, so at their next booking you already know exactly what to prepare. Weekly statistics show you the trends: is revenue growing, how many new guests arrived, and which service is most in demand.
In the evening, when you close up the workshop or salon, you no longer need to keep a paper diary or send follow-up emails. AI Booking automatically sends tomorrow's reminders (and, in the Basic/Pro plan, the SMS messages), updates Google Calendar, and prepares the monthly statistics. Your job remains the professional part — the system takes over the booking administration.
Key Benefits
Automatic deposit request for high-risk bookings
AI Booking's goal is to make booking, communication, and administration run with less manual work.
Extra SMS reminder for high-risk guests
AI Booking's goal is to make booking, communication, and administration run with less manual work.
Learns from your own booking data — no external data leakage
AI Booking's goal is to make booking, communication, and administration run with less manual work.
Weekly report: how many no-shows you avoided with AI assistance
AI Booking's goal is to make booking, communication, and administration run with less manual work.
How to use it in 3 steps?
- 1
Registration and basic settings
The first step is registration that starts your 14-day trial without a credit card — just an email address or Google login is enough. The onboarding wizard walks you through your account basics (business name, contact, booking URL), then you set up your services: name, duration, price, description. Can be activated: Per-booking risk score (low / medium / high). Your booking page is then already live, and your guests can book right away — with an average setup time of 15-30 minutes.
- 2
Working hours, calendar and notifications
In the second step, you set your working hours (weekly, daily, exceptions, time off), and connect your Google Calendar account so your private events also block booking slots. You decide which email templates are active (confirmation, reminder, follow-up) and when they go out (e.g. 24 hours before). In the Basic and Pro plans, you can also add SMS reminders. Can be enabled: Automatic deposit requests for high-risk bookings. This way your guests receive an automatic, branded confirmation.
- 3
Sharing the link and daily use
The third step is sharing your booking link: Instagram bio, Facebook post, business card QR code, an embeddable booking form on your website, or a WordPress shortcode. From here, the system works automatically: An extra SMS reminder for high-risk guests. All you do is check your mobile admin dashboard each morning (installable from your mobile browser), see the day's bookings, confirm them, and at month's end export the invoices to Billingo or Számlázz.hu. The statistics module shows how your business is growing.
+30-40%
more returning guests after the first 3 months — the combined effect of booking automation, reminders, and guest records. A typical result for providers; the exact figure depends on the industry and activity level.
How does it fit with the other features?
What does AI no-show prediction mean?
AI Booking calculates a risk score within 30 seconds of every new booking. The model takes into account: the guest's history (how often they showed up vs. didn't), the time of the booking (Friday afternoon is riskier than Monday morning), the service type, the booking channel (own link vs. social media), and other anonymized signals. It learns from your own data and doesn't send anything to a third-party AI provider.
What do you do with a high-risk booking?
There are several options: (1) it automatically sends an extra reminder (e.g. 24 hours before to anyone, 2 hours before to a risky guest), (2) it suggests requesting a deposit from the guest, (3) it flags this time slot for your attention in the calendar, (4) it offers a waiting list of someone who could take the spot if they cancel anyway. You decide which ones you actively use.
How does it connect with the other features?
AI no-show prediction works together with automatic reminders (SMS and email), the online payment/deposit module, the waitlist, and statistics. The score is also visible on the booking detail page (admins only), so you can quickly see why it flagged a booking.
How much data is needed for it to work?
The model starts working reliably after the first 50-100 bookings — until then it provides cautious risk estimates based on general industry statistics. The more of your own bookings, the more accurate the personalized estimate becomes for your clientele.
Data Processing and GDPR
The AI model only learns from your own data, within the aibooking.hu server. We do not send it out to an external OpenAI or other LLM provider. The guest's name and email are not included in the training data — only anonymous behavioral signals (times, history, channel).
Frequently Asked Questions
How do I turn on AI no-show prediction?
It can be enabled in the admin interface under Settings → AI features. It's also available during the trial period, so you can see how it works with your real bookings.
What exactly does the guest see?
Nothing directly. The risk score is only visible on your admin interface. The guest only sees an extra reminder or a deposit request, which would already be part of the booking process anyway.
How much of a reduction can I expect in the no-show rate?
Based on early tests, a 25-50% reduction in no-shows is achievable if you actively use the suggested deposit requests and extra reminders. The exact result depends on the industry and clientele.
Can the AI make mistakes? What if the estimate is wrong?
Yes, any AI can be wrong. That's why the system only offers a suggestion — you decide what to do. If you see many incorrectly flagged high-risk cases, we'll fine-tune the model based on your data.
Do I need the Pro plan for AI no-show prediction?
Yes, the AI features are part of the Pro package. In the Free and Basic packages, traditional reminders are available, but without personalized AI estimates.
What does it look like on the inside?
Try AI Booking
Start your 14-day trial with no credit card, set up your services, and share your booking link — your first online booking could come in today.