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AI in tourism: Benefits, tips, and use cases

Knowledge documents

30 October 2024

AI in tourism: Benefits, tips, and use cases

Adventure tourism

Coastal, maritime and inland water tourism

Cultural tourism

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The Tourism 4.0 project’s November 2023 infographic illustrates how AI, big data, and IoT are transforming the tourism industry by offering insights, tips, and use cases.

Authors

Tourism 4.0 project

Related Organisation(s)

Clevertask

Cluster Digital

Topics
Geographical descriptors

Albania

Armenia

Austria

Belgium

Bosnia and Herzegovina

Bulgaria

Croatia

Cyprus

Czechia

Denmark

Estonia

EU-27

Finland

France

Georgia

Germany

Greece

Hungary

Iceland

Ireland

Italy

Kosovo

Latvia

Liechtenstein

Lithuania

Luxembourg

Malta

Moldova

Montenegro

Netherlands

North Macedonia

Norway

Poland

Portugal

Romania

Serbia

Slovakia

Slovenia

Spain

Sweden

Switzerland

Türkiye

Ukraine

Organisation Type

Academic / Research and VET Institutions

Company with 250 or more employees

Consumer Organisations

Cultural and Heritage Organisations

Destination Management & Marketing Organisations

EU Institutions

Financial Institutions and Investors

Industry Associations and Chambers of Commerce

International Organisations

Local Authorities

Media / Journalist Organisations

National authorities

Networks and Federations / Confederations

NGOs / Non-profits

Regional Authorities

SMEs (a company with less than 250 employees)

Trade Unions

  • Specific types of tourism

    • Adventure tourism

    • Coastal, maritime and inland water tourism

    • Cultural tourism

    • Ecotourism

    • Education tourism

    • Festival tourism

    • Gastronomy tourism

    • Health and medical tourism

    • MICE tourism

    • Mountain tourism

    • Religious tourism

    • Rural tourism

    • Sports tourism

    • Urban/city tourism

    • Wellness tourism

  • Transition Pathway Strategic Areas

    • Digitalisation of tourism SMEs and destinations

    • Innovative tourism services

    • R&I on digital tools for tourism

    • Well-being of residents

  • Business activities

    • Activities of amusement parks and theme parks

    • Activities of associations and other organisations supporting tourism

    • Air passenger transport

    • Camping grounds, recreational vehicle parks and trailer parks

    • Events catering and other food services

    • Festivals, cultural and entertainment activities

    • Gardens and nature reserves activities

    • Holiday Housing / Apartments and other short stay accommodation

    • Hotel and similar accommodation

    • Mobile beverage services

    • Mobile food services

    • Museums

    • Operation of historical sites

    • Other

    • Other accommodation

    • Other amusement and recreation activities

    • Other food and beverage services

    • Other holiday reservation services

    • Other tourism transportation activities

    • Rail Passenger transport

    • Recreational and sport activities

    • Restaurants, cafes and bars (Food and Beverage serving activities)

    • Road passenger transport

    • Tour operator activities

    • Travel agency activities

    • Water (sea, coastal and inland) passenger transport

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The Tourism 4.0 project released an infographic in November 2023, showcasing how cutting-edge technologies like AI, big data, and IoT are revolutionizing the tourism industry. It explains what AI is and isn’t, offers tips for integrating AI into tourism businesses, outlines the technical processes of AI projects, and highlights the benefits of using AI in tourism. The infographic also addresses common problems AI can solve in the industry and presents typical use cases such as demand forecasting, dynamic pricing optimization, and customer segmentation. By publishing this infographic, the project aims to raise awareness and improve both the tourist experience and the quality of life for residents.

#Tourism development #Innovation in tourism #Stakeholder engagement

Documents

Tourism4.0 - Applying Artificial Intelligence in the Tourism Industry
English
(192.58 KB - PDF)
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