Apartment Hotels

Revenue Management Software for Apartment Hotels

Apartment hotels aren’t traditional hotels — and your revenue management system shouldn’t be either. Propeter’s AI platform handles extended-stay LOS pricing, mixed room/apartment inventory, corporate demand cycles, and long booking windows that standard RMS tools completely mishandle.

18–25%
Average RevPAR Lift
13
Rate Engine Stages
90-Day
Demand Forecast Horizon
<200ms
Rate Recalculation Speed

The Unique Revenue Challenges of Apartment Hotels

Standard hotel RMS tools were built for nightly transient demand. Apartment hotels operate on fundamentally different dynamics that require a different approach.

📅

Extended-Stay LOS Complexity

Your inventory serves 1-night, 7-night, and 30-night stays simultaneously. Pricing a 28-night corporate stay the same as a 2-night leisure booking leaves revenue on the table and over-discounts long-stay guests who should be rewarded differently.

🔀

Mixed Inventory Models

Hotel-style rooms alongside studio and 1/2-bedroom apartments require separate rate plans, minimum stay rules, and demand forecasts. Most RMS tools force a single pricing model across all unit types.

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Corporate vs Leisure Demand Cycles

Corporate guests book 6–12 weeks out with negotiated rates. Leisure travellers book 2–4 weeks out at BAR. Managing both demand streams without cannibalising corporate margin is a daily challenge.

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Long Booking Windows

With guests committing months in advance, your pricing strategy needs to optimise both early-window rates (capture corporate) and last-60-days pricing (maximise yield on remaining inventory) without conflicting signals.

How Propeter Solves Each Challenge

 

LOS Rate Ladder — Studio Apartment

1–2
BAR
3–6
−5%
7–13
−10% ★
14–27
−15%
28+
−22%

★ Most booked tier. Guardrail floor: $120/night

Extended Stay Algorithm

LOS-Aware Pricing That Rewards Longer Stays

Propeter’s Rate Engine includes an Extended Stay Algorithm that dynamically adjusts pricing based on length-of-stay. Longer stays get incremental discounts applied at Stage 6 of the 13-stage pipeline — without conflicting with your minimum rate guardrails.

  • Weekly, fortnightly, and monthly rate tiers configured per unit type
  • Minimum stay rules enforced automatically per inventory category
  • Rate Guardrails prevent LOS discounts from breaching your floor rate
Mixed Inventory

Separate Rate Plans Per Unit Type

Propeter supports independent rate plans, demand forecasts, and pricing rules for each unit category — hotel rooms, studios, one-beds, and two-beds each optimise independently against their own occupancy curve.

  • Per-category min/max guardrails and BAR definitions
  • Inventory-level sell-stop rules (Stage 2 of Rate Engine)
  • Derived rates — 2-bed auto-derived from 1-bed base rate

Inventory Occupancy Overview

Hotel Room (std)82% occBAR +12%
Studio Apt74% occBAR +5%
1-Bed Apartment61% occBAR 0%
2-Bed Apartment44% occPromo active

Each category priced independently — one view, one system.

Demand Segment Breakdown — Next 30 Days

Corporate Bookings38 nightsNegotiated
Leisure / BAR27 nightsHigh demand
Extended Stay (7d+)19 nightsLOS rate
OTA / Channel16 nightsRate parity

Strategy Agent: “Lift 1-bed BAR by 8% for 15–22 Oct — corporate pace strong.”

Demand Forecasting

Corporate + Leisure Demand Forecast in One View

Propeter’s XGBoost + LSTM forecasting engine distinguishes between corporate booking patterns (long lead, stable pricing) and leisure demand (shorter lead, price-elastic). Rate strategy is applied separately for each segment.

  • 90-day occupancy forecast updated every 4 hours
  • Lead-time pricing: corporate window (60–90d), leisure window (7–30d)
  • 6-agent AI orchestration — Strategy Agent produces plain-language recommendations

Platform Capabilities for Apartment Hotels

Every feature built into Propeter is live in production — not a roadmap promise.

13-Stage Rate Engine

Every booking request passes through Base Rate → Inventory → Rate Plan → Derived Rates → Promotions → Loyalty → Guardrails → Tax in under 200ms.

  • LOS discount at Stage 4 (Derived Rates)
  • Promotion stacking resolver at Stage 10
  • Min/max guardrails enforced at Stage 11

AI Demand Forecasting

XGBoost + LSTM ensemble model generates a 90-day occupancy curve per unit type. Retrained on your property data, not generic market averages.

  • Corporate vs leisure segment split
  • Event-driven demand spike detection
  • Booking pace vs historical comparison

Competitive Intelligence

Lighthouse rate data + Propeter’s proprietary web scraping engine monitor competitor apartment hotels and serviced apartments in your market.

  • Real-time competitor rate alerts
  • Rate position dashboard (you vs comp set)
  • Auto rate-match or outprice triggers

Direct Booking Engine

Capture corporate and extended-stay guests directly without OTA commission. Dedicated corporate booking portal with negotiated rate codes.

  • Rate parity monitoring across OTAs
  • Corporate rate codes and access links
  • Windcave / Qvalent payment processing

Xero Accounting Integration

Extended stays mean complex monthly invoicing. Propeter’s Xero integration handles GL mapping, automatic invoice generation, and monthly reconciliation.

  • Auto-generated monthly invoices
  • GL mapping per unit category
  • GST/VAT jurisdiction compliance

Guest Loyalty Programme

Reward repeat corporate travellers and long-stay guests with a 4-tier loyalty system. Loyalty discounts are applied at Stage 6 — after promotions, before guardrails.

  • Standard / Silver / Gold / Black tiers
  • LOS + loyalty combined discount stack
  • Referral programme for corporate accounts

How Propeter Compares for Apartment Hotels

CapabilityGeneric Hotel RMSPropeter
LOS-aware dynamic pricing Nightly rate only 5-tier LOS ladder per unit type
Mixed inventory (rooms + apts) Single rate model Independent rate plans per category
Corporate demand separation Blended forecast only Segment-level forecasting
Monthly invoicing / Xero No accounting integration Native Xero GL integration
Rate guardrails (floor/ceiling) Manual rules only Stage 11 — hard enforcement
Promotion stacking resolver Not available Stage 10 — conflict resolution
Direct corporate booking portal OTA dependent Built-in direct booking engine
FAQ

Frequently Asked Questions About ADR

What makes apartment hotel revenue management different from traditional hotels?

Apartment hotels need to optimise pricing across three intersecting variables that standard hotel RMS tools ignore: length of stay (1-night through monthly), inventory category (room vs studio vs 1-bed vs 2-bed), and guest segment (corporate vs leisure). Most hotel RMS platforms were designed for nightly transient pricing only. Propeter’s Rate Engine handles all three dimensions simultaneously through its 13-stage pipeline.

Propeter’s native Xero integration auto-generates invoices at the end of each corporate stay or at monthly intervals for ongoing corporate accounts. GL mapping is configured per unit type, tax is applied based on jurisdiction rules, and reconciliation is automated — eliminating manual spreadsheet-based month-end processes.

Yes. The Rate Engine evaluates the incoming booking’s LOS at Stage 4 (Derived Rates) and applies the appropriate LOS multiplier — independently from the nightly BAR. A studio unit can offer a $180 BAR for 1–2 nights, a $160 rate for 7-night stays, and a $140 rate for 28+ nights, all with their own guardrail floors. These are managed per-unit-type, not as a blanket discount.

Propeter connects via a webhook-based PMS Adapter that is compatible with most cloud PMS platforms. Rate recommendations are pushed automatically and inventory updates are pulled in real time. OTA rate publication (Booking.com, Expedia, Airbnb) is synchronised within 60 seconds of any rate change.

Most apartment hotel operators on Propeter see measurable RevPAR improvement within the first 30 days as the AI recalibrates pricing based on actual booking pace and demand signals. Full optimisation — where the XGBoost + LSTM model has learned your specific property patterns — typically stabilises at 90 days, delivering sustained 18–25% RevPAR growth versus the pre-Propeter baseline.

Built for Apartment Hotels. Not Retrofitted.

Propeter handles the pricing complexity that standard RMS tools cannot — extended stays, mixed inventory, corporate demand cycles, and long booking windows. See it working on your property in a live demo.