HiP · Hotel Intelligence Platform
Today’s trading and tomorrow’s position, before the morning meeting.
Market comparables, geographic intelligence and greenfield analysis for the operators, developers and underwriters deciding what to build — and what it will really earn.
For Hotel developers, management companies and greenfield underwriters
- Performing
- Required
- Gap
- Levers
Where the market lets it be. HiP supplies the market side of “required”: live comparables, the house-view penetration forecast, and the underwriting return a new asset has to clear — NPV, IRR and multiple on the case.
The whole loop →The market, found — not guessed.
Live places data and the AU/NZ business registers, swept with a radius that adapts to the market you’re actually in. Demand drivers on one side of the ledger, competitors on the other — mapped, classified, and priced into the model.
Underwriting returns on the case
NOP multiple, a discounted cash flow with terminal cap, and NPV, IRR and multiple on the greenfield model — the return the investor has to clear, shown next to comparable transactions.
Greenfield analysis that reaches the P&L
Decompose demand by driver — accommodation, co-working, offices, attractions, transit, walk-in — and roll it up to covers, revenue and a full P&L by day-part.
Live market comparables
Nine active short-stay market snapshots across Australian and New Zealand cities, refreshed by automated collectors — not a PDF from last quarter.
Geographic intelligence
Competitor and demand mapping on live places data and the AU/NZ business registers, with an adaptive radius that fits the market you’re actually in.
Layout Studio
A 2D space-planning editor for testing furniture layouts and capacity against the same demand model — built for a real client engagement, not a demo.
A calculation engine you can check
The P&L engine is validated against real trading benchmarks — 88 metrics parsed and reconciled from a single industry P&L upload.
Boardroom · the AI brain, in HiP
An Analyst that changes its mind only with your permission.
The HiP Analyst researches, benchmarks and stress-tests your assumptions. When it thinks an assumption should move, it asks — an inline confirmation, with the evidence — before anything in your model changes. It is deliberately given the minimum context each question needs, not your documents in bulk.
How the AI treats your data
- Minimum context per question — assumptions, benchmarks and excerpts, not bulk documents.
- Assumption changes require your inline confirmation before they’re written.
- Web research queries are deliberately generic — no proprietary deal terms leave the platform.
- Every AI action is written to an append-only audit log.
House-view penetration forecast (in preview)
Occupancy and ADR forecast = the market forecast × your MPI/ARI house view, with driver-tagged expense lines. Built and flag-gated for a demo property; not in general release.
Four-method valuation with transaction costs
Initial-yield cap, CPI-deflated stabilised-year cap, and 5/10-year DCF net of stamp duty, legals and selling costs, blended into an adopted value with an IRR back-check. Designed from an institutional house-view model; not built.
Monte Carlo simulation
Probabilistic ranges on the greenfield model — a future phase, not in the product today.
Australian-region AI inference
An onshore inference option for sovereignty-strict clients — proposed, offered on request, not yet built.
Public market landing
hip.hotelstack.ai currently goes straight to sign-in; the open market view is on its way.
If it’s in this section it isn’t shipped yet. We’d rather tell you that here than have you discover it in a demo.