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Wilderness Reserve: AI-Powered Booking System

Development
Tom Lorimer
Chief Executive Officer

Business Context

Wilderness Reserve, a UK-based luxury hospitality and private estates group, manages dozens of high-end properties across multiple estates, with bookings ranging from romantic weekends to large-scale group retreats. Customer enquiries were primarily handled via WhatsApp by staff, creating operational strain during peak demand.

The Challenge

The business faced high enquiry volume, complex availability logic, and time-intensive manual responses, particularly for large groups requiring multiple nearby properties. Customers also expected instant, concierge-level responses - 24/7. Existing systems contained the data, but there was no intelligent interface to unlock it efficiently.

Passion Labs’ Process

Passion Labs led a full discovery, design, and development programme, integrating directly with the client’s existing data cloud availability index. Using a custom Model Context Protocol (MCP) architecture, we separated tooling from the language model to future-proof the system and ensure scalability. WhatsApp integration was delivered via Twilio, maintaining the existing customer entry point.

The Solution

We built an AI-powered booking availability agent capable of:

  • Answering 100% of general property enquiries automatically

  • Handling flexible date ranges (e.g. “a weekend in October”)

  • Optimising multi-property bookings for groups of 40+ guests

  • Returning availability and pricing in ~20 seconds on average

Advanced optimisation algorithms (e.g. CP-SAT) ensured accurate, estate-level recommendations with built-in safety guardrails.


Impact & ROI

  • 80-90% reduction in manual WhatsApp enquiry handling
  • 24/7 instant response without additional staffing costs
  • Average response latency reduced by 10x
  • Scalable foundation for future AI concierge services


This project unlocked measurable efficiency gains while preserving the premium customer experience expected in luxury hospitality.

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