Report
Industry Benchmark Report: Travel & Transportation
See how travel and transit AI agents resolve conversations, where callers drop off, and where human calls can be automated next, backed by 3.7 million AI-agent conversations.
What’s inside:
What 3.7 million AI-agent conversations and a cruise deployment’s human-agent calls reveal about resolution, abandonment, and where automation pays off first.
- Why travel AI agents split into self-service resolvers and front-door routers, and why resolution rate alone can mislead
- Why roughly one conversation in eight is abandoned, and how authentication and data-collection failures drive much of that loss
- Why booking, sales, and trip changes make up more than half of the calls that reach a human, and why those calls run long
- A readiness-vs-volume map showing what to automate now, what to fix first, and what to keep with people
- Two automation agendas, self-service and front-door, with the use cases for each
- Plus many more industry insights
