Every reservation call, analyzed. No mystery shoppers. No sampling.
DeepBench ingests recordings from the PBX you already run — and turns every reservation, front-desk, and guest-services call into ranked revenue intelligence.
Four steps. No PMS integration. No change to guest experience.
Guest calls
your reservation line
Your PBX records
Mitel · Avaya · 8x8 · RingCentral
DeepBench analyzes
AI scoring + dollarization
Team gets coached
coaching actions in the inbox
Pull-based from your existing recording store. Encrypted in transit (TLS 1.3) and at rest (AES-256). No live call tapping. Our onboarding engineer pairs with your phone vendor or hospitality IT lead — most deployments wire up in under a week. Don’t see your system? Email hello@deepbench.io.
Per agent, per shift. Fine-grained enough to coach individuals without punishing teams.
Rate quote accuracy & parity
Versus your current BAR. Flags quote drift and parity breaks in real time.
Call-to-booking conversion
With drop-off points tagged — objection, rate-push, availability, hold.
Objection handling
Price anchors, alternative offers, and the patterns your top agents use that others don't.
Sentiment, pace & talk-time
Guest sentiment arc through the call. Talk-time ratios per call leg.
Brand-standard adherence
Marriott, Hilton, Hyatt, IHG — configurable rubrics at the Enterprise tier.
In the product · Call Intelligence
A reservation call, rendered three ways.
A scored interaction, a coaching action pre-written for the manager, and a real-time alert — rendered here with sample data shaped the way Deep Bench ships them.
Scorecard
Reservation call · Sarah K.
Oct 14 · 4m 21s · +1 (503) 555-0188
Overall QA
72/ 100
Rubric
Brand rubric · Front Desk
Brand welcome92
Greeted by name, stated hotel brand
Suite-upgrade offer40
Room type available; offer not made
Loyalty capture75
Objection handling80
Recovered from price push
Rate quote accuracy100
Coaching action
Maria Lopez · Front Desk Manager
Suite-upgrade offer rate at 38% across Sarah K.'s last 12 calls. Rooms were available on 9 of 12.
Draft email
5-minute coaching moment for Sarah — suite upgrades
Hi Maria — Sarah's last 12 reservation calls show suite-upgrade offer rate at 38% (team avg 71%). Suggested script below — clip from Oct 14 call attached as the cleanest example to walk through with her.
Suggested talking points
"I'm holding a Deluxe King. For $45 more a night, I can move you to our Harbor-view Suite — same bed, twice the space."
Anchor the dollar difference per night, not the nightly rate.
If guest pauses: "Let me price it through your stay so you can decide."
Last 7 nights, 11p–7a shift. Three-agent rotation. Rate drop not seen in day or swing. Worth a 10-minute huddle before week-end.
$1,200 / week est.
Mock view — illustrative data. The real artifacts render with your hotel’s rubric, team, and brand voice within 48 hours of deploy.
Every call counts
A 200-room property books hundreds of reservations a month. We analyze every one.
Different from contact-center QA
Purpose-built for hospitality revenue roles.
Contact-center QA platforms — NiCE, Observe.AI, CallMiner — are built for financial services, telco, and retail call centers. They score a queue-handling agent. DeepBench is built for the hotel front desk, reservations line, and sales team: hospitality-specific rubrics, dollar-denominated findings, and integration into hotel operations workflows. Not a QA queue for a director of customer service.