Travel & Hospitality

1. Overview

In the travel and hospitality industry, voice AI automates a wide range of guest interactions, from booking reservations to providing 24/7 virtual concierge services. This vertical is unique due to the high value of each interaction and the critical importance of providing a personalized, seamless, and high-end guest experience. A successful voice AI can not only increase direct bookings and ancillary revenue but also significantly improve guest satisfaction and loyalty.

Reservation calls capture guest names, contact details, and payment card data. On the Growth plan you can turn on PII redaction to strip card numbers and guest identifiers from transcripts before they are stored.

2. Common Call Intents

This table outlines the most common reasons customers contact a hotel, airline, or travel agency.

Intent Name	Description	Example Caller Utterance
Make a Reservation	The customer wants to make a new reservation for a hotel room, flight, or rental car.	”I want to book a king room for two nights, checking in on Friday.”
Modify a Reservation	The customer needs to make a change to an existing reservation, such as dates or room type.	”I need to change my flight to a later time on the same day.”
Cancel a Reservation	The customer wants to cancel an existing reservation.	”I need to cancel my hotel reservation for this weekend.”
Inquire About Amenities	The customer has a question about the amenities offered by the hotel, resort, or airline.	”Do you have a swimming pool and is it open now?”
Request Concierge Service	The guest needs assistance with a concierge service, such as booking a tour, making a dinner reservation, or arranging transportation.	”Can you recommend a good Italian restaurant near the hotel and book a table for two?”
Ask About Loyalty Program	The customer has a question about their loyalty program account, points balance, or benefits.	”I wanted to check how many points I need to book a free night.”

3. Common Call Outcomes

This table lists the typical dispositions or final results of hospitality-related calls.

Outcome Name	Description	Success/Failure
Reservation Booked	A new reservation was successfully booked and a confirmation number was provided.	Success
Reservation Modified	An existing reservation was successfully changed and confirmed.	Success
Reservation Cancelled	An existing reservation was successfully cancelled and a cancellation number was provided.	Success
Information Provided	The customer’s question about amenities, loyalty, or services was answered.	Success
Transferred to Staff	The call was transferred to a human agent (e.g., front desk, group sales, concierge).	Neutral
Caller Hung Up	The caller disconnected before their inquiry was completed.	Failure

4. Recommended Evaluation Criteria

This section breaks down key evaluation criteria into specific, measurable checks for monitoring and improving agent performance.

Start from the eval library. Part of what follows is already covered by Tuner’s predefined evals, which you enable with one click: Data capture accuracy, Confirmation accuracy, Required disclosures, Hallucination, Tool response mismatch, and Politeness. Between them they cover the booking details as captured and confirmed, the cancellation policy, invented rates or availability, and what the booking system actually returned.Enable those first, then add the rest as custom evals. The criteria in the tables below are written to be used as the prompt definition of a custom eval.

Booking & Transactional Accuracy

Evaluation Name	Description	Type
Reservation Booking Accuracy	Evaluates the precision of the booking process by verifying that the agent correctly captured and confirmed all essential details including the guest’s name, contact information, dates of stay, room or flight type, and number of guests. Accuracy in this area prevents booking errors and guest frustration.	Pass/Fail
Cancellation Policy Communication	Assesses whether the agent clearly communicated the cancellation policy during the booking process, including specific deadlines, any applicable fees, and the process for making changes. Clear policy communication prevents disputes and sets proper expectations.	Pass/Fail
Payment Processing Compliance	Verifies that the agent kept card data out of the spoken conversation when taking payment for a booking: never reading a full card number back to the guest, never asking the guest to say a CVV aloud, and routing to secure capture at the point of payment. This is what keeps reservation calls inside PCI scope.	Pass/Fail

Guest Experience & Quality

Evaluation Name	Description	Type
Personalization	Measures the agent’s ability to create a personalized guest experience by using the guest’s name throughout the conversation and referencing their loyalty program status, past stay history, or stated preferences. Higher scores indicate better relationship building and guest engagement.	Scored 1-5
Upsell & Cross-Sell Effectiveness	Evaluates the agent’s ability to identify and present relevant opportunities to drive ancillary revenue through upsells and cross-sells such as room upgrades, spa packages, dining reservations, or late check-out options. Higher scores indicate better revenue optimization.	Scored 1-5
Brand Voice Adherence	Assesses whether the agent’s tone, language, and communication style align with the property’s brand positioning, whether luxury high-end, mid-range business travel, or budget-friendly accommodation. Consistency with brand voice reinforces brand identity.	Scored 1-5
Local Knowledge (Concierge)	Evaluates the quality and relevance of the agent’s concierge recommendations for local restaurants, attractions, and activities based on the guest’s stated preferences, interests, and needs. Higher scores indicate more helpful and personalized recommendations.	Scored 1-5

5. Compliance & Regulatory Requirements

Payment Card Industry Data Security Standard (PCI DSS): Essential for securely handling credit card information during bookings.
General Data Protection Regulation (GDPR): Critical for businesses with customers in the European Union, governing the handling of personal data.

6. Key Performance Benchmarks

Look-to-Book Ratio: 10% or higher for direct voice channels.
Average Daily Rate (ADR) & Revenue Per Available Room (RevPAR): These vary significantly by market and property type, but the voice AI’s performance should be measured against the property’s overall goals.
Ancillary Revenue Per Booking: Track the revenue generated from upsells and cross-sells made by the voice AI.

Getting Started

Integrations

Evaluation

Observability

Simulation

MCP

Guides

Resources

1. Overview

2. Common Call Intents

3. Common Call Outcomes

4. Recommended Evaluation Criteria

Booking & Transactional Accuracy

Guest Experience & Quality

5. Compliance & Regulatory Requirements

6. Key Performance Benchmarks

​1. Overview

​2. Common Call Intents

​3. Common Call Outcomes

​4. Recommended Evaluation Criteria

​Booking & Transactional Accuracy

​Guest Experience & Quality

​5. Compliance & Regulatory Requirements

​6. Key Performance Benchmarks

1. Overview

2. Common Call Intents

3. Common Call Outcomes

4. Recommended Evaluation Criteria

Booking & Transactional Accuracy

Guest Experience & Quality

5. Compliance & Regulatory Requirements

6. Key Performance Benchmarks