Skip to main content
AI dynamic pricing for short-term rentals

Dynamic pricing that sees beyond Airbnb.

Our AI checks comparable listings, nearby hotels and upcoming events, then reviews and reprices every property, every day.

We set it up Daily managed run No lock-in

Daily run complete

Example: Sydney 2-bed

Illustrative nightly-rate recommendations

Demand signals

3 live

FRI17 Jul
Previous price $289increased to $349

Hotels at $362 · booking pace ahead

SAT18 Jul
Previous price $319increased to $389

Major event · 1.2 km away

SUN19 Jul
Previous price $265decreased to $248

Pickup behind · 7 days to arrival

43

comps

18

hotels

3

events

Early Sydney results

Real operating data, not a sales-deck estimate.

We diagnose the portfolio, show the dates and properties leaving revenue behind, then measure the managed run against the way you price today.

Early observed monthly lift
12–19%
Identified monthly opportunity
$7–13k

Early results vary by property, season, availability and market. Opportunity is identified from the anonymised portfolio analysis.

Anonymised Sydney portfolio

10 properties · 1,469 reservations analysed

Portfolio calendar with high-value gap nights

Property-level booking pace and rate diagnosis

Recommended actions with the reason behind each price

Open the Sydney dashboard

More context behind every price

Price against what guests can book right now.

A nightly rate should reflect the whole local market — not only yesterday's bookings or one set of competitor listings.

Comparable listings

Know what guests can book nearby.

We track similar short-stay listings, their rates, availability and booking pace around every property.

43 local comps checked

Nearby hotels

See when the whole market moves.

Hotel rates and availability expose demand that short-stay data alone can miss — especially on compressed weekends.

18 hotels monitored

Local events

Price the spike before it arrives.

Concerts, conferences and major local events are factored into the daily review before the booking curve catches up.

Next 120 days scanned

How the managed run works

Your strategy and guardrails. Our daily operation.

01

Connect

Map your listings, minimums, goals and channel manager. No migration.

02

Track

Check booking pace, local rates, hotels and events across the next 120 days.

03

Update

Adjust rates inside agreed floors and ceilings, with unusual dates human-reviewed.

Keep PriceLabs if you like it

We manage the context and daily decisions around it.

Keep PriceLabs as your pricing engine, or let us run the workflow directly. We add nearby hotel rates, hands-on event research and a managed daily portfolio review, so you spend less time tuning rules and checking dates.

See the Sydney portfolio

Your pricing engine

Market-based nightly rates

OpenOnion adds

Nearby hotel benchmarks

Your pricing engine

Rules and price controls

OpenOnion adds

Hands-on local event research

Your pricing engine

Daily rate updates

OpenOnion adds

Managed daily portfolio review

Your pricing engine

Per-listing settings

OpenOnion adds

We set it up and run it

Pricing first. Operations next.

One agent can handle the repetitive work around the stay.

Once pricing is running, we can extend the same managed workflow to guest messages and daily operations.

Guest texts

Check-in details, arrival reminders, checkout messages and review requests — sent at the right moment.

Daily operations

Cleaner alerts, exception follow-ups and repetitive admin workflows handled without another task list.

Human guardrails

Price floors, approval rules and a human check for unusual dates keep the automation under control.

Free for one month

Let us run it on your properties.

We'll set up the pricing strategy, monitor your local market and run the daily workflow for 30 days. Compare the result with the way you price today, then decide whether to continue.

Sydney-basedHuman-reviewedFloors and ceilingsNo card or lock-in