The problem
Popular spots are becoming overcrowded, whilst hidden gems just round the corner remain empty. Generic ‘top 10’ lists only make matters worse. Managing visitor distribution requires real-time insight and a suitable alternative for each guest, and that is precisely what is lacking at most destinations.
Our approach
- Recommendations tailored to each guest, based on their profile, location, weather and time of day.
- The chatbot proactively directs users to quieter alternatives of a similar standard.
- Each POI is classified by level and context, so that the alternative is always suitable.
- Trend monitoring identifies patterns of footfall and interest on a weekly basis.
- The data quality is continuously monitored: freshness and changes by location.
The evidence
Figures: reference date July 2026, verified periodically.
- A dynamic POI database with no limits: collected, analysed, validated and continuously updated for each destination.
- Language versions are activated on a per-destination basis, with Dutch, English and German as the default configuration; dozens of languages can be activated immediately and further expanded on request, selected in each case based on their relevance to your guests.
- Updates for each POI are tailored to their importance: from daily to quarterly.
- Change detection automatically flags closures and rating downgrades.
KPIs: what you measure
Spread index (top 10 versus the rest)
Recommendations outside the top 10 (%)
Average length of stay
Visitor satisfaction by location
Related modules
Would you like to see how this works for your organisation?
Schedule a strategic meeting