Properties, reservations and guest threads
Guesty
Webhooks and scheduled sync keep the stay history current, so a performance question is answered against real bookings rather than a summary.
How Guesty connectsIntegration stack · Guesty + Wheelhouse + Slack
Give an AI operator Guesty reservation context and Wheelhouse recommended prices and KPIs, then keep pricing approvals and owner escalations in Slack.
Who this stack is for
The coordination problem
The answer
Proptonomy joins that context without replacing either system. It reads the reservations from Guesty and the recommended prices, pricing settings and KPIs from Wheelhouse, and answers with the actual figures. If the conversation ends in a price decision, that decision is put to the team in Slack before anything is changed.
Properties, reservations and guest threads
Webhooks and scheduled sync keep the stay history current, so a performance question is answered against real bookings rather than a summary.
How Guesty connectsRecommended prices, pricing settings and KPIs
The AI reads the nightly recommendation, the base price and absolute floors, and occupancy against the neighbourhood, ADR and RevPAR. It can apply an explicit, authorised change.
How Wheelhouse connectsTeam questions, exceptions and approvals
The proposed change goes to the authorised channel with the figures behind it, and a teammate approves or asks a follow-up without leaving Slack.
How Slack connectsExample workflow
The stack matters only if the same operational record survives the handoff between tools and people.
The Guesty listing and its reservations identify the exact unit and period, including the nights that were blocked rather than unsold.
Proptonomy reads occupancy against the neighbourhood, ADR, RevPAR and the recommended prices for the days ahead, so the reply carries figures rather than reassurance.
If the answer is that the rate should move, the before-and-after values go to the authorised team channel for an explicit instruction.
An approved base price, absolute minimum or custom rate is written to Wheelhouse and confirmed with what actually changed. Wheelhouse still posts rates to the channel through its own connection.
Boundaries
A trustworthy integration explains the non-goals as clearly as the data flow. These boundaries prevent duplicate records and unexpected writes.
The operation does not migrate away from Guesty, and Proptonomy does not edit listings or reservations as part of this workflow.
Proptonomy reads and acts on selected Wheelhouse settings; it does not replace Wheelhouse's forecasting or its rate posting to the channel.
Reading is safe by default. Changing a base price, an absolute minimum or a custom rate requires an explicit request from an authorised teammate and leaves an audit trail. A read-only Wheelhouse API key removes the possibility entirely.
Rollout
The exact credentials differ by system, but the safe operating sequence stays the same.
Connect Guesty, Wheelhouse, Slack with the credentials or partner flow described on each integration page.
Check that properties, reservations, partner chats and external records resolve to the same operational entity before any write action is enabled.
Let the AI read current traffic, draft answers and show proposed actions. Correct property knowledge and routing while nothing is sent automatically.
Turn on the inboxes and actions the team trusts, while sensitive categories and less-tested properties remain behind approval.
FAQ
Direct answers, written to stand on their own in search and AI results.
No. Wheelhouse remains the revenue management system and continues posting rates to your channel. Proptonomy makes its recommendations and KPIs available inside operational and owner questions, and can apply an authorised change.
Not in this workflow. It reads and explains pricing and performance data by default. A base price, absolute minimum, absolute minimum stay or custom rate is changed only after an authorised teammate explicitly asks for it.
Wheelhouse accepts the change and quietly discards what the channel cannot act on, such as minimum stays on some channels. Proptonomy reads the warning it returns and reports that the setting was not applied, rather than confirming a change that never landed.
The shape is the same and only one of them is usually in play, since Wheelhouse and PriceLabs occupy the same seat. Wheelhouse also exposes portfolio KPIs such as occupancy against the neighbourhood, ADR and RevPAR, which is what makes owner reporting part of this workflow.
We will show what connects, what remains read-only and how the first real workflow runs.
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