Tourism Booking & Forecasting
Unifying capacity management, workforce forecasting, and regulatory compliance for a high-volume dual-location attraction using deep historical AI analysis and asynchronous email synchronization.
Volume
Over 2 million bookings processed
Approximately 100,000 visitors per year.
AI Data Foundation
Predictive models trained on roughly 2 million bookings spanning an 8-year dataset
Tech Stack: WordPress, WPForms, Advanced Custom Fields (ACF), PHP, WP Mail SMTP.
Complex Scope
Two structurally different locations
A fragile historic site and an restricted-access operational site. GDPR-compliant data protection (maximum 3-month data retention), automated blocking of minors at the production site, and strict site closure rules.
The Challenge
As-is-state
The client managed reservations through emails and manual phone logs.
This caused scheduling errors, double-bookings, and major difficulties coordinating tour guides.
Going downhill
The second location added fuel to the fire.
The client struggled to manage two operationally distinct locations, each carrying high regulatory and safety risks, the 'old way'.
Suboptimal, to put it kindly
Staff struggled to enforce access rules
such as microclimate protection at the historic site versus strict legal restrictions at the industrial plant.
The Solution
The AI absorbs the drudgery: rules, complex reservation logic, sightseeing arrangements. What's left for staff and guides is the part that matters: making visitors happy.
Asynchronous Mail Layer
AI engine provides a real-time reservation dashboard synced with ordinary email.
- Staff replies are automatically captured and appended to the correct reservation thread.
Two-Stage Availability Validation:
The frontend uses an availability request model
- giving operators time to match group demographics against guide availability and site constraints.
- Bookings are made far in advance, even several months out, which adds another layer of complexity to the system.
Automated Regulatory Enforcement
Booking forms require age-group breakdown.
- The system automatically blocks minors from the industrial site and enforces calendar-based closures.
AI Traffic Forecasting
An AI engine analyzes 8 years of booking data to predict peaks
- and identify low-occupancy windows for dynamic pricing and targeted marketing.
Compliance Automation
Generates secure PDFs
- individual entry passes with QR codes
- and automatically purges personal data after the required period to maintain GDPR compliance.
Checked In Before Check-In
Travel and hospitality business are all about experience. Your guest hasn't seen your lobby yet. They've seen your booking form, your deposit charge, your waiting list. That's your hospitality so far. Fix that first.
Results & Business Impact
Eliminated reservation chaos and scheduling errors.
Guaranteed 100% adherence to industrial safety laws and data privacy requirements through automated gates.
Optimized workforce allocation and maximized off-peak revenue through predictive scheduling.