One More Day on Fyn: How AI Turned a Destination App Into a Guided Local Experience
Most destinations compete on visibility. The best ones compete on experience. But there is a deeper metric that often goes unnoticed: how long visitors choose to stay. Extending a stay by just one day does more than increase revenue. It changes how a destination is experienced, remembered, and returned to.
This is the ambition shaping the digital evolution of Destination Fyn. Not just to attract visitors, but to make them stay longer, explore deeper, and come back. Utilizing AI together with a clear digitalization approach are some of the answers to how Fyn is giving visitors the experiences that nudge them to stay one more day.
From Vision to Reality
This initiative is not a future concept. It is already in motion. A first version of the platform is now going live, establishing the foundation for a more intelligent and connected experience. What is being built is not a static solution, but a system that evolves step by step, guiding visitors deeper into what Fyn has to offer.
The Challenge to Experience
The challenge was never a lack of content. There are places to visit, restaurants to discover, and events happening across the island. But the experience itself is fragmented. Visitors have to search across platforms, piece together their own journeys, and often miss what was happening right around them.
At the same time, local businesses struggle with visibility, while the operational efforts required to manage and update content across parties continued to grow. The result was, and is, a destination rich in experiences, but not fully experienced.
A Shift in Thinking
Instead of asking how to present more information, the focus shifted toward a different question: How do we design an inspiring, coherent, guided experience for each visitor? This shift nudges both the long-term vision and the way the platform is being built today. It marks the move from static presentation to dynamic experience design.
Building the Foundation
When xrNORD entered the project, the application existed only as a frontend. There was no backend, no structured data, and no logic layer. This meant no scalability, no personalization, and no real foundation for AI.
The first step was therefore not to add features, but to rebuild the system architecture from the ground up. A new foundation was established to support structured data, integrations, and real-time logic, while enabling future AI capabilities. With this in place, the first version of the platform could begin to take shape.
Four Focus Areas Driving the Experience
Creating the extra day is not about adding more content or introducing a single new feature. It is about designing how everything connects, how visitors move through a destination, how local businesses are discovered, how experiences surface at the right moment, and how the entire system operates seamlessly behind the scenes. The platform is built around four core focus areas:
- Guided Visitor Journeys
- Relevant Visibility for Local Businesses
- Real-Time Discovery of Local Events
- Reduced Operational Costs Through AI-Automation
Guided Visitor Journeys
Vision: Visitors are guided through the destination with contextual recommendations, creating a coherent and memorable experience across their entire stay.
Version 1: The first version introduces curated bike routes and local experiences designed by Destination Fyn. Visitors are not left to figure everything out themselves, but are guided into meaningful experiences from the beginning.
Relevant Visibility for Local Businesses
Vision: Local businesses are surfaced dynamically based on context, preferences, and behavior, ensuring visibility exactly when it matters most.
Version 1: Visitors can explore through structured categories and filters. While AI-driven matching is not yet active, the foundation is in place. The next step is to introduce AI that understands the visitor and connects them automatically to relevant places and experiences.
Real-Time Discovery of Local Events
Vision: Events are not isolated pieces of information, but part of a connected and discoverable experience.
Version 1: Events from platforms like Facebook are already integrated and surfaced. Instead of being scattered across channels, they are brought into one place, making them visible and accessible. Personalization will be introduced in the next phase.
Reduced Operational Costs Through AI-Automation
Vision: Operations are supported by AI, reducing manual work while increasing speed, consistency, and scalability.
Already implemented: AI is already fully active behind the scenes. It is used to structure content, generate and adapt text, handle translations, and streamline data processes. The result is a significantly reduced workload and faster time to market, freeing up resources for more impactful work.
The Role of AI
AI is not introduced all at once. It is implemented where it creates immediate value and expanded as the system evolves. This approach ensures a stable foundation, early measurable impact, and a clear path toward more advanced personalization and automation, without losing control of complexity or cost.
A Destination That Learns
What is being built is not just a platform. It is a guided experience, evolving over time. It moves from lists to guided routes, from filtering to intelligent matching, and from visibility to true relevance.
The long-term outcome is a destination that understands its visitors and responds accordingly. The extra day is not created through campaigns. Not through more content. It is created through experiences, experiences that feel coherent, relevant, and worth staying that extra day for.
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