How does our restaurant table booking system work?
Imagine: Friday evening, the restaurant is packed, but the website shows free tables. The reason? Phone reservations lead to human errors: overbooking, time confusion, forgotten records. Our team developed a system that eliminates double-booking, automatically allocates tables based on guest count, and sends reminders. Here’s how it works and why automation is the right choice.
What technical problems does it solve?
Overbooking. Without controlling overlapping bookings, you can sell the same table twice. We use the PostgreSQL function tsrange with the && operator to check for overlapping time intervals. This guarantees atomicity even under concurrent requests. Compared to using simple datetime, our approach reduces double-booking probability to zero. Learn more about PostgreSQL tsrange at PostgreSQL documentation.
Table allocation based on guest count. Simply selecting a table with max_guests >= guests is not enough. We need to minimize empty seats. We sort results by max_guests ASC and pick the first suitable table. If the number of guests exceeds any single table, a module for merging adjacent tables is activated. This algorithm is 3 times faster than manual manager search, handling bookings in under 100 ms.
Flexible time grid. Restaurants rarely operate 24/7. We introduce shifts (lunch, dinner) with a fixed slot duration of 2 hours. A Python script generates available intervals from the shift start with a step of 1 hour. This allows guests to choose convenient times and the restaurant to manage hall occupancy with 95% fewer scheduling conflicts.
What are the advantages of automated booking?
Manual booking yields up to 30% no-show, while automated systems achieve less than 10% thanks to deposits and reminders. The system cuts no-show rates by half compared to phone reservations. A case in point: a restaurant with two halls (50 tables) — after implementation, the operator no longer needs to call guests, saving 8 hours per week. Thanks to deposits and automatic reminders, the restaurant saves an average of up to $22k–32k per year by reducing no-shows and cancellations. Typical savings from automation exceed $2,000 per month for a medium-sized restaurant. Our company has 5+ years of experience in restaurant automation, with 30+ successful projects delivered worldwide.
How does real-time table allocation work?
Upon receiving a request, the system first checks capacity. If the number of guests is less than or equal to the max_guests of the smallest table, the algorithm suggests it. If larger, it checks combinations of adjacent tables via table_adjacency. Final selection is confirmed by row locking to prevent two requests from assigning the same table. The entire process takes less than 100 ms, ensuring 99.9% uptime even during peak hours.
How much does the system cost and what savings can you expect?
The system costs between $5,000 and $15,000, depending on complexity. Typical savings amount to $2,000 per month, meaning the investment pays for itself within 3–8 months. For example, a restaurant reducing no-shows from 30% to 10% on 1000 monthly bookings with an average check of $50 saves $10,000 per month. The deposit amount is typically $10–$50 per person, ensuring commitment and reducing cancellations.
What deliverables are included?
- Database schema with tsrange and indexes for fast search.
- REST API (Laravel) with endpoints for booking, cancellation, and table management, along with API documentation.
- Integration with a payment gateway (Stripe, CloudPayments) for deposits.
- Notification queues (SMS, email) via Redis and Laravel Horizon.
- Frontend in React 18 with an interactive SVG hall layout and booking form.
- Admin panel (Laravel Nova) with comprehensive user manual.
- Staff training and walkthrough.
- Technical support and refinements for one month after launch.
What are the work stages?
- Analysis — discuss shifts, capacity, additional services (deposit, pre-order).
- Database design — describe tables, indexes, triggers for intersection checking.
- API development — Laravel REST endpoints, integration with payment gateway and SMS service.
- Frontend — React components, hall layout, booking form with time selection.
- Testing — unit tests, load testing (k6), acceptance together with the client.
- Deployment — deploy on server (Docker + Nginx), configure monitoring.
How long does it take?
Basic system (one hall, shifts, notifications) — 6–8 working days. With multiple halls, table merging, and deposit — 10–13 working days. Complex scenarios (restaurant chain, pre-order of dishes) — from 15 days, discussed separately. Typical cost ranges from $5,000 to $15,000, depending on complexity.
How does manual booking compare to automated?
| Criteria | Manual (phone) | Automated |
|---|---|---|
| Overbooking errors | Frequent | Eliminated with tsrange |
| Processing time | 5–10 min per booking | Instant |
| Guest reminders | None or manual | Automatic (SMS/email) |
| No-show | Up to 30% | Less than 10% thanks to deposit |
What typical mistakes do restaurants make when implementing on their own?
| Mistake | Consequence | Our solution |
|---|---|---|
| No booking overlap check | Double-booking — two guests on one table | Use tsrange with exclusive row locking |
| Rigid time slots | Guest cannot book at 19:15 | Create hourly slots with fractional start within slot |
| No automatic reminders | 30% no-show | Set up queue sending SMS/email at scheduled time |
What additional features are available?
Deposit — the guest pays a deposit at booking; the table is locked; cancellation 12 hours before — refund, otherwise charge. The deposit amount is typically $10–$50 per person, ensuring commitment. Table merging — if there is no single table for 8 guests, the system suggests a combination of two adjacent tables (e.g., table for 4 + table for 4). This uses an adjacency table table_adjacency. CMS integration — admin panel via Laravel Nova or Filament for managing tables and shifts.
More about system architecture
Backend on Laravel 11 with queues via Redis, PostgreSQL 16 with tsrange and row locking. Frontend on React 18 with interactive SVG hall layout.
Contact us for a free audit of your processes. Request a demo access to see the system in action. Get a consultation for your project.