Sign up to save tools and stay up to date with the latest in AI
bg
bg
1

We All Want Better Travel Experiences. Can AI Help Us?

Dec 15, 2023 - forbes.com
The article discusses the potential of artificial intelligence (AI) in enhancing the travel experience. It suggests that AI can help predict and mitigate common travel issues, such as flight cancellations or lost luggage, by using data to anticipate problems and provide solutions. For example, AI could be used to inform travelers of events near their hotel, personalize room and meal preferences, or suggest optimal airport arrival times based on anticipated passenger volume. However, to fully realize these benefits, travel companies must first ensure their data is clean, structured, and accessible.

The author suggests several strategies for companies to improve their data management, including agreeing on a data journey and ensuring accountability, using media intelligence tools to convert unstructured data into structured data, regularly assessing data quality, standardizing data formats, training employees on data cleanliness, and fostering a culture of innovation within the data practice. The author warns that travel brands that fail to adapt to these emerging trends risk falling behind.

Key takeaways:

  • Travel brands can leverage AI to enhance customer experiences, such as personalized services based on customer preferences, proactive communication about flight schedules, and efficient maintenance scheduling for airlines.
  • Creating meaningful experiences using AI tools requires clean, usable data that is accessible in a secure environment. Unstructured data like images or videos need to be converted into structured data.
  • Companies need to ensure their data is clean, structured, and standardized. Regular assessments of data quality, training for employees on data cleanliness, and fostering a culture of innovation within the data practice are crucial.
  • Travel brands that are not currently mapping their data journeys based on emerging customer experience trends may fall behind in the long run.
View Full Article

Comments (0)

Be the first to comment!