JapanTravel and aviation2025 – ongoingJTB
Generative AI analysis of tour-customer feedback
Flyle reported that at least 300 JTB employees viewed AI-generated customer-feedback reports
Problem
JTB's escorted-tour planning teams received large volumes of survey responses. Free-text comments were difficult to analyze for product improvements.
Approach
The teams began using generative AI to analyze customer feedback in April 2025. The process extracted praise and suggestions from comments for tour planning and service improvements. Flyle reported that analysis effort fell to almost zero.
Results
Takeaway
Report readership documented internal reach. JTB did not disclose a measured change in customer satisfaction.
Categories
- Size
- Large enterprise
- Industry
- Travel and aviation
- Business function
- Marketing and sales
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
Flyle reported deployment from April 2025, analysis effort reduced to almost zero and report readership of at least 300 employees. It did not provide a measurement method for the effort reduction.
Flyle described JTB's use of generative AI to extract useful comments from tour surveys. It named JTB staff responsible for customer relations and feedback-based improvements.
Full details are in the original sources.
