Petro Transfers — Airport Transfer Booking System
A complete digital solution for a private airport and hotel transfer company based in Zadar, Croatia. Covers 31 destinations along the Dalmatian coast with 960+ dynamic prices, an AI chat assistant that recognizes 7+ languages, and an advanced admin panel for managing the entire business.
About the Project
Petro Transfers is a complete digital solution for a company providing airport and hotel transfer services in the Zadar area and along the Dalmatian coast. The project includes a public website for guests, an advanced booking system, an AI chat assistant, and a robust admin panel.
The system covers 31 destinations along the Dalmatian coast with 960+ dynamic prices that are automatically calculated based on route, vehicle, and season. It supports three languages (Croatian, English, German) and offers a multilingual AI chat that recognizes 7+ languages.
The project was developed in phases — from the core booking system and admin panel (Phase 1) to an advanced AI assistant with 5 providers and an automatic fallback chain (Phase 2), with planned phases for WhatsApp integration and REST API.
Key Features
Booking System
Multi-step booking process, 31 locations with autocomplete search, return trips, groups of 9-24 passengers with automatic vehicle combinations
AI Chat Assistant
5 AI providers (Gemini, Mistral, Groq, OpenAI, Mock) with automatic fallback chain. Recognizes 7+ languages. Guides guests through booking and knows all prices from the database
Dynamic Pricing Engine
4 seasonal periods, price matrix (route x vehicle x season), "Price on Request" toggle per route, Early Bird discounts for early bookings
Admin Panel
53 admin routes, manage reservations, locations, routes, vehicles, pricing, AI rules, conversations, and trends
Email System
Automatic notifications for guests and admin, distinct templates for inquiries vs confirmed bookings, Send Email functionality from admin panel
Security
CSRF and XSS protection, SQL injection prevention, rate limiting, prompt injection detection with 9 regex patterns — security audit completed, all areas secure
Technologies & Details
Project Categories
Tech Stack
AI Fallback Chain
System Architecture
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