Listing matching + showing scheduling
It bundles matching listings with showing-candidate times and passes them to the responsible agent.
Real Estate Brokerage Firms
The call that rang while you were out on a showing was a ₩10M-commission deal.
Listing matching + showing scheduling
9:41
Customer
Do you have any near-station 30-pyeong jeonse listings?
BringTalk AI
I'll confirm your desired area and budget to shortlist matching listings. When are you hoping to move in?
Real Estate · Listing answeringRecording
- Desired listing
- Near-station ~30 pyeong jeonse
- Budget
- Mid-₩200M
- Move-in
- Early next month
Contract, interim & balance-payment scheduling
It guides schedules and baselines, with the responsible agent re-confirming firm details.
Tax & loan first-pass guide + expert routing
It guides the basic baseline and connects the exact calculation to an expert.
Designed for better customer conversations
Listing and contract inquiries surge on both inbound and outbound calls, and when the agent is out on a showing, closing, or meeting, calls are missed. With high brokerage commissions, one missed call means one lost deal. BringTalk handles listing matching and showing scheduling first to protect deal opportunities.
24/7 unlimited concurrent answering
Even a listing inquiry that rings in the five minutes you can't answer during a showing gets taken by the AI instead of voicemail, with conditions confirmed.
Your playbook is the AI's answer
It guides only shareable listing info and baselines, and on parts needing confirmation like price or contract terms it defers — 'the responsible agent will confirm this directly' — and hands off to a human.
Every call auto-analyzed into VOC
Which listing types draw the most questions and where customers drop off accumulates by branch, becoming the basis for deciding which listings to secure more.
The change, measured in operating metrics
Leading brands turn every call into measurable operating results with BringTalk.
24/7
Field-time listing answering
1 deal
Missed call = commission loss
Design stage
Brokerage validation planned
Real Estate Brokerage Firms: questions before you roll out
Can listing information be reflected in real time?
It integrates with your listing-management system to guide against available listings, and is designed to exclude closed or changed listings from responses.
How do you prevent false or exaggerated guidance?
It guides only shareable listing info and baselines, with a structure where the agent directly confirms firm conditions and contract details.
How are calls that come in while you're in the field handled?
The AI takes them first, confirming desired conditions and available showing times, and leaves a call summary and follow-up rules so the agent can pick up right away on return.
Does it integrate with our existing main number and listing system?
It takes intake on your main number, and for listing lookups and showing scheduling we first define the integration scope with your listing and schedule systems.
Which calls should the pilot start with?
We open just the listing-matching and showing-scheduling flow most directly tied to deals first. Because it's where impact shows fastest, we confirm response rate and showing conversion here, then widen into contract scheduling and tax/loan first-pass guidance once verified.
See where to start automating Real Estate Brokerage Firms call operations
We map your real call flows, integration points, and QA criteria together — first.
Recommended voices
Voices that fit Real Estate Brokerage Firms
Onyx
senior · Male · American
Deep, weighty veteran male.
- Lang
- EN · KO
- Cost
- $0.015
- Latency
- 600ms
Zeus
senior · Male · American
Powerful senior male voice.
- Lang
- EN
- Cost
- $0.030
- Latency
- 250ms
Arcas
senior · Male · American
Deep, authoritative male.
- Lang
- EN
- Cost
- $0.030
- Latency
- 250ms
Charlie
Young tone · Male · Australian
Casual conversational Australian male.
- Lang
- EN · KO
- Cost
- $0.180
- Latency
- 800ms
Cartesia Voice F
Mid-career tone · Neutral · Korean
Cartesia Korean neutral voice F.
- Lang
- KO
- Cost
- $0.065
- Latency
- 90ms
Alloy
Mid-career tone · Neutral · American
Balanced, neutral tone. Versatile for guidance and narration.
- Lang
- EN · KO
- Cost
- $0.015
- Latency
- 600ms
REFERENCE COST
Our Real Estate Brokerage Firms 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