AI automatically analyzes 100% of your front-desk calls, finds why booking calls fall through, tracks room-category and breakfast upsell, and wins back guests who'd otherwise book you through Booking.com instead.
Avg. score
8.4
↑ +0.5
Upsell
34%
↑ +9%
Lost bookings
7
↓ −4
Duration
2:48
↓ −22s
Front-desk agents today
AI insight: Helen P. doesn't offer a room upgrade in 71% of booking calls. Potential extra revenue — $480/month.
The hidden cost of every front-desk call
Without analytics, you can't see what's really happening at the front desk. Here are the most common problems independent hotels run into.
The agent can't confirm room availability for the requested dates on the spot
→ The guest says "I'll call back" and books the same hotel on Booking.com an hour later — with a 15–18% commission attached
≈27% of booking calls end without a reservation
A vague answer about early check-in or late check-out
→ A guest who needs an early-morning transfer picks a competitor with a clear policy instead
1 in 5 calls is specifically about check-in/check-out terms
No upsell offered for a higher room category, breakfast package, or airport transfer
→ The hotel leaves margin on the table on a booking that was already happening
Average upsell is $15–45 per booking
💡 Every 4th phone booking that falls apart due to an unsure front-desk answer is a guest who reaches you through an OTA commission instead of your direct channel.
At a $95 average booking value and a 17% OTA commission: 20 such bookings a month is roughly $320 in lost margin from commissions alone.
How it works
The front-desk recording is automatically forwarded via webhook from your phone system or PBX
The conversation is converted to text with agent/guest role detection, including foreign-language calls
Scores accuracy on availability, room and breakfast upsell, courtesy, and objection handling
Ready-made insights and recommendations for every front-desk shift
What you get
AI scores every call against a clear checklist — greeting, accuracy on dates and rates, clarity on check-in/check-out policy, capturing guest contact details.
→ You always know why a call did or didn't turn into a booking.
Find out exactly why a guest hung up without booking: an unsure availability answer, a confusing rate, no timely follow-up call or email.
→ Win back bookings that would otherwise go to an OTA with a commission.
Track which front-desk agents offer a higher room category, late check-out, breakfast, or an airport transfer. Compare performance across shifts.
→ Grow revenue per booking without touching your rate sheet.
See how group-stay and corporate-account calls are handled, and whether a manager actually follows up in time.
→ No corporate inquiry falls through the cracks between shifts again.
Product
Every booking metric in one place. Clear for the front-office manager, precise for the owner.
Top agent
Марія К.
8.6/10 today
Upsell rate
38%
+7% this week
Lost bookings
5
–4 vs yesterday
Avg. duration
2:41
–12s vs baseline
Upsell leaders
Lost booking reasons
Guest sentiment
72%
Positive
19%
Neutral
9%
Negative
AI insight of the day
Calls after 8pm convert 34% worse into bookings — the night shift doesn't check live availability in the PMS right away. A short script for the night agent is recommended.
Integrations
Setup takes about 15 minutes, including a sync with your property management system. No extra hardware, no IT department needed.
ROI calculator
Even +4 recovered bookings/day
For your hotel that's:
Case study
+19pp
Direct booking share
+26%
Upsell rate
−24%
Lost calls
12 days
Rollout
“We kept seeing Google reviews like "called and the front desk couldn't tell me if a room was even available" and had no idea how common it was. AI showed it happened on one in three calls. Two months after retraining the night shift, our direct booking share climbed from 41% to 60%, and our OTA commission bill dropped noticeably.”
David Marsh
General Manager, Harbor Row Boutique Hotel
😔
Before
Front-desk agents couldn't confirm room availability on the call — guests were asked to wait for a callback, and half of them booked on an OTA instead.
🤖
Process
AI analyzed 100% of calls over 3 months and found the night shift gave unsure answers 71% of the time because of clunky PMS access.
🚀
Result
After a short coaching session and a new night-shift script, direct booking share grew 19 percentage points in the first quarter.
FAQ