Rebooking & refund guidance during cancellations/delays
It handles booking lookup, alternate-schedule candidates, and refund-rule guidance first.
Hotel · Airline · Travel
Fast cancellation notices aren't the finish line. Passengers on hold write a post on social media, not to your call center.
Rebooking & refund guidance during cancellations/delays
9:41
Customer
I got a text saying today's flight is cancelled. What should I do?
BringTalk AI
Once I confirm your booking number, I'll guide alternate flights and available refund options.
Travel/Airline · Surge answeringRecording
- Situation
- Cancellation notice
- Preference
- Tomorrow morning alternate
- Handling
- Rebooking · refund guidance
Flight & hotel change/cancellation
It guides eligibility against policy, and processes confirmed changes after verification.
Loyalty & mileage inquiries
It separates policy guidance from account checks to answer quickly.
Designed for better customer conversations
Airlines, travel, and hotels prove their value most clearly during disruptions. When a typhoon, cancellation, or refund-policy change hits, calls surge and waits grow. BringTalk prioritizes rebooking, cancellation, refund, and voucher guidance to lower the load on human agents.
24/7 unlimited concurrent answering
Even when thousands of calls arrive within a minute right after a cancellation notice, it takes them concurrently without letting a single passenger slip into a hold queue.
Your playbook is the AI's answer
Different refund rules by fare and alternate-flight priorities during cancellations are guided exactly as the policy document states, without wavering.
Every call auto-analyzed into VOC
Which routes and reasons draw the most questions and complaints is gathered in real time so the ops team can prepare for the next cancellation in advance.
The change, measured in operating metrics
Leading brands turn every call into measurable operating results with BringTalk.
10–50x
Call surge during disruptions (assumed)
24/7
Rebooking · refund guidance
Shorter wait
Surge-window answering target
Hotel · Airline · Travel: questions before you roll out
Can it handle exception-heavy policies like airfare refund rules?
It guides against fare conditions and policy documents, and hands off cases with compensation, exception-approval, or complaint potential to a human consultation.
Does it integrate with existing booking systems (PSS/GDS) or IVR?
For booking lookups and changes we first define the integration scope with your booking system, and confirmed changes are processed after identity verification.
Can it serve foreign customers in multiple languages?
Answering in major languages beyond Korean can be configured, with complex cases handed to an agent in that language.
Does it answer even at late night when cancellations surge calls?
It takes concurrent intake 24 hours a day, handling rebooking and refund guidance first and passing only compensation cases to the queue.
Which calls should the pilot start with?
It doesn't start with cancellation response. One flow of routine booking-lookup and change guidance runs first for one to two weeks, stabilizing policy-guidance accuracy and handoff rules. Until then, disruption calls go to existing staff, and once verification ends, it widens into cancellation and delay response.
See where to start automating Hotel · Airline · Travel call operations
We map your real call flows, integration points, and QA criteria together — first.
Recommended voices
Voices that fit Hotel · Airline · Travel
Asteria
Mid-career tone · Female · American
Warm and clear female. Narration.
- Lang
- EN
- Cost
- $0.030
- Latency
- 250ms
Shimmer
Mid-career tone · Female · American
Warm, soft female tone. Care scenarios.
- Lang
- EN · KO
- Cost
- $0.015
- Latency
- 600ms
Cartesia Voice C
Mid-career tone · Female · Korean
Cartesia Korean female voice C. Guidance scenarios.
- Lang
- KO
- Cost
- $0.065
- Latency
- 90ms
Sage
Mid-career tone · Female · American
Expert female voice. Consulting and education.
- Lang
- EN · KO
- Cost
- $0.015
- Latency
- 600ms
Athena
Mid-career tone · Female · American
Wise professional female.
- Lang
- EN
- Cost
- $0.030
- Latency
- 250ms
Cartesia Voice E
senior · Female · Korean
Cartesia Korean senior female voice E.
- Lang
- KO
- Cost
- $0.065
- Latency
- 90ms
REFERENCE COST
Our Hotel · Airline · Travel Voice synthesis cost reference
This estimates only speech synthesis model cost from call volume and talk time. Implementation, integration, and QA operations are scoped separately.
Operating inputs
Adjust call volume and agent speech share to estimate model cost only.
Assumptions
- Korean speech estimate: 250 chars/min
- AI talk ratio: 50%
- FX: 1 USD = ₩1,370
- Model pricing uses each voice's cost_per_1k_chars value.
agent minutes/call = average call length × AI talk ratio
chars/call = agent minutes × 250
annual chars = chars/call × annual calls
annual USD = annual chars ÷ 1000 × $/1k
annual KRW = USD × 1370Lowest annual TTS cost at this volume
₩770,625
≈ $563 /yr
Lowest model
Ash
OpenAI
Compare voice
Annual TTS costAshOpenAI$0.015/1k
$563 · ₩770,625ApolloDeepgram$0.030/1k
$1,125 · ₩1,541,250Cartesia Voice BCartesia$0.065/1k
$2,438 · ₩3,339,375ClydeElevenLabs$0.180/1k
$6,750 · ₩9,247,500Lowest modelAlternative voices
37,500,000 chars
Annual characters
150,000 min
Annual agent speech