AI-POWERED FORECASTS – MARKUS MATTHAEI

May 12, 2024

Reliable Forecasts & Effective Visitor Management: AI Can Support Destinations

In recent years, some tourist destinations began measuring visitor flows using sensors and, for example, providing guests with a traffic light system that indicates the current capacity utilization at a tourist destination.

As important as this step was, it is only the beginning. neusta destination.one is convinced of this. In Session 3 of the ' Digitalization with AI' theme track, CEO Stefan Huber presents how AI-supported data aggregation can enable forecasts and thus provide destinations with new knowledge.

Contribution by Markus Matthaei

From Visitor Counts to Forecasts

To truly support both destinations and guests in their planning and optimization, it is crucial to also make forecasts for future capacity utilization. The weather plays a crucial role in this – both for visitors on site and for local service providers. A classic example is an indoor swimming pool that is empty in good weather and overcrowded when it rains.

This is where AI comes into play – with the help of innovative technologies, we can better understand these effects and prepare accordingly: By combining sensor data with historical and forecasted weather data, reliable predictions for future capacity utilization can be generated.

Visitor Management and Capacity Control

What specific use cases arise from this? With a 'frequency traffic light', destinations can be informed days in advance when and where large crowds are expected and what alternatives are available. This information can be integrated into all digital communication channels to enable visitors an optimized travel experience and individual planning.

Service providers such as swimming pools, restaurants, or city guides can also use this to optimize their staffing and resource planning.

Forecasts Enable Effective Resource Management

The ability to predict future visitor flows is of crucial importance for destinations. It enables effective planning, improved guest experiences, and optimized visitor management. By using Artificial Intelligence, destinations can better tailor their offerings to the needs of visitors and utilize tourist infrastructure more efficiently.

This leads to a sustainable and improved development of tourism in the region.

Further Information

With this keynote, Stefan Huber opens the session "AI for Structuring and Contextualizing Diverse Data Pools" in the theme track "Digitalization with AI".

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