Using AI to improve tourism decisions
Tourism is influenced by many factors: major market players like international tour operators and platforms control supply and demand, technological developments change booking and travel behavior, strategic decisions by destinations set priorities, while research, expert knowledge, and public opinion amplify or dampen trends. Additionally, social, economic, and ecological changes affect travel in the long term.
To systematically understand these dynamics and use them proactively, futures research works with a three-step model: scanning, foresight, and transfer.
This transforms complex influences into actionable foresight knowledge.