AI improves travel forecasting accuracy by analyzing large datasets that include historical booking data, search trends, economic indicators, and social media sentiments. Machine learning models can identify patterns and predict future travel demand for specific destinations, seasons, or events. This allows tourism boards to make informed decisions on marketing campaigns, infrastructure development, and resource allocation. AI-driven insights also enable the creation of targeted initiatives to attract visitors during off-peak periods, balancing tourist flow throughout the year. For tourism boards, AI-enhanced forecasting is a powerful tool for strategic planning and sustainable destination management.