The best hotel tech stack for revenue optimization has six core layers: a cloud PMS for operations, a revenue management system (RMS) for pricing, a channel manager for OTA distribution, a direct booking engine for commission-free revenue, a CRM and loyalty platform for guest retention, and accounting software (such as Xero) for profitability tracking. The critical variable is not which systems you choose — it is how deeply those systems integrate. Every manual hand-off between them costs staff time, introduces errors and delays pricing decisions, so audit the data flow before you buy anything new.
📋 What you will learn in this guide
- What is a hotel tech stack and why does it matter for revenue?
- The six layers of a modern hotel revenue tech stack
- Open API vs closed systems: the vendor lock-in problem nobody talks about
- Build vs buy: the honest answer for independent hotels
- The hidden cost of a disconnected hotel tech stack
- The right tech stack by hotel size
- AI-native vs AI-added technology: why the distinction matters
- How to audit your current hotel tech stack
- What to replace first when upgrading your stack
- Hotel tech stack for India — market-specific requirements
- Hotel tech stack for Australia — market-specific requirements
- How to compare hotel tech stack costs by layer
- Where Propeter fits in your tech stack
- Frequently asked questions
What is a hotel tech stack and why does it matter for revenue?
A hotel tech stack is the complete set of software systems a hotel uses to manage its operations, distribute its inventory, optimise its revenue, and engage its guests — and critically, how those systems connect to and share data with each other. The term “stack” is borrowed from software engineering and reflects the layered architecture of modern hotel technology: each system sits on top of the one below it, with data flowing between layers.
The reason tech stack architecture matters for revenue — not just operations — is that revenue management decisions are only as good as the data feeding them. A Revenue Management System that receives occupancy data from the PMS in 4-hour batches will always make worse pricing decisions than one receiving real-time pickup data. A CRM that cannot see RMS demand forecasts cannot trigger the right campaign at the right moment. Every gap in the data flow between your hotel’s systems is a gap in your revenue management capability.
Many independent hotels run a long list of separate software tools, and only a few of them are natively integrated. The rest rely on manual data transfer, middleware connectors or periodic CSV exports — each of which introduces delay, error risk and staff time. The gap between a connected stack and a disconnected one is not a technology preference; it shows up directly in how quickly and accurately you can price.
The six layers of a modern hotel revenue tech stack
Every modern hotel revenue tech stack has the same six functional layers — regardless of whether each layer is covered by a separate tool or a connected platform. Here is what each layer does, what it connects to, and which systems are commonly used at each layer:
1
Layer 1: Property Management System (PMS) — the operational core Manages reservations, check-in, check-out, room assignments, housekeeping status, guest folios, and night audit. Every other layer in the stack depends on PMS data. The PMS is the single source of truth for occupancy, revenue postings, and guest records. Common systems: Mews, Cloudbeds, Opera Cloud, Apaleo, Protel, RMS Cloud, RoomKeyPMS, Clock PMS. Key integration requirement: a reliable two-way API with every other system in the stack.
2
Layer 2: Revenue Management System (RMS) — the pricing brain Analyses demand signals, forecasts future occupancy, and sets or recommends room rates dynamically. For hotels still pricing manually, the RMS is usually the layer with the biggest revenue impact, because it touches every room night sold. Common systems: Propeter, IDeaS G3, Duetto, RoomPriceGenie, Mews RMS (formerly Atomize). Key requirement: two-way PMS integration (occupancy and reservations in, approved rates out) and a reliable path for rates to reach the channel manager.
3
Layer 3: Channel Manager — distribution control Distributes room availability and rates to all OTA channels simultaneously, manages channel-specific rate codes, and prevents overbooking by maintaining a unified live inventory across all channels. Common systems: SiteMinder, Cloudbeds, BookingExpert, RateGain, STAAH. Key requirement: fast, reliable rate updates from the RMS to all channels.
4
Layer 4: Direct Booking Engine — commission-free revenue Powers reservations made directly on the hotel’s website or app, including member-only rates, without OTA commission. The direct booking engine should be managed by the same pricing system as OTA channels — if the direct rate is set manually while OTA rates adjust dynamically, rate inconsistencies and missed direct bookings follow. Common systems: Propeter Booking Engine, Bookassist, Hotelrunner, D-EDGE. Key requirement: member rates and direct rates managed within the same RMS pricing framework.
5
Layer 5: CRM, Loyalty and Marketing Automation — guest revenue Manages guest profiles, loyalty tier progression, targeted campaign automation (email, SMS, WhatsApp), pre-arrival messages, lapsed-guest reactivation, and segmentation for personalised pricing. Without this layer, a hotel cannot execute the 80/20 rule — identifying and nurturing the top 20% of guests who generate 80% of revenue. Common systems: Propeter CRM + Loyalty, Revinate, Guestline CRM, Salesforce (enterprise). Key requirement: PMS integration for automatic stay tracking and RMS integration for demand-triggered campaigns.
6
Layer 6: Accounting and Profitability — the bottom line Maps revenue from the PMS to accounting GL codes, tracks departmental costs, and makes GOPPAR visible sooner than a month-end spreadsheet allows. Without this layer, a hotel knows its RevPAR but not whether it is actually profitable. Common systems: Xero (most widely used for independent hotels), QuickBooks, Sage, M3 (hospitality-specific). Key requirement: a supported PMS connection with GL code mapping by department.
Open API vs closed systems: the vendor lock-in problem nobody talks about
This is the most important technical decision in hotel tech stack architecture — and almost no content written for hotel operators explains it clearly. The distinction between open API and closed API hotel systems determines whether you can build the best-of-breed stack you need, or whether you are locked into one vendor’s ecosystem indefinitely.
What is an open API in hotel technology?
An open API means the platform publishes documented integration endpoints — standardised connection points that allow any other software system to connect to it without requiring the vendor’s permission, involvement, or an additional integration fee. If your PMS has an open API, you can connect any RMS, CRM, or accounting tool to it. If your RMS has an open API, a developer at another hotel software company can build an integration without a commercial agreement between the vendors.
What is a closed or proprietary API?
A closed API means the vendor controls which systems can connect to their platform and charges for integration access. This creates three problems: (1) You can only use software tools the vendor has approved, limiting your best-of-breed options. (2) Integration fees can add a monthly charge per connection on top of subscription costs. (3) When you want to switch one layer of your stack, the closed vendor may block or delay the migration.
The closed API vendor lock-in trap Hotels that build their tech stack around a closed-API PMS often discover that their “preferred” RMS and CRM are whichever vendors the PMS company has commercial agreements with — not necessarily the best tools for their property. Three years into a closed ecosystem, switching costs (data migration, downtime, retraining) are high enough that many hotels stay with inferior tools rather than rebuild. Always ask every vendor: “Do you have a publicly documented open API? What are your integration fees?”
Which major hotel systems are open API?
| System / Layer | Open API status | Integration approach |
|---|---|---|
| Mews PMS | ✓ Open API | Fully documented, developer portal, free API access |
| Apaleo PMS | ✓ API-first | Built API-first — all functionality accessible via API |
| Cloudbeds | △ Partner API | API available but requires partner programme enrolment |
| Opera Cloud (Oracle) | △ Partner API | Oracle Hospitality Integration Platform — commercial agreements required |
| SiteMinder (Channel Manager) | ✓ Open API | Developer portal with channel manager API access |
| Xero (Accounting) | ✓ Open API | Fully documented, free developer API access |
| IDeaS G3 | △ Partner API | Integration via IDeaS partner programme — enterprise agreements |
Build vs buy: the honest answer for independent hotels
Every few years, a hotel group or hospitality entrepreneur considers building custom technology rather than buying existing platforms. The reasoning is usually: “We know exactly what we need and existing tools don’t do it perfectly.” Here is how the trade-off usually looks:
| Decision factor | Build custom | Buy established platform |
|---|---|---|
| Initial cost | Large upfront development budget | Predictable subscription; implementation scoped with the vendor |
| Time to first use | Typically a long build before a usable product | Much sooner, once connected and configured |
| Ongoing maintenance | Dedicated in-house tech team required | Vendor-managed, included in subscription |
| Feature completeness | Will lack features that took established vendors years to build | Proven across many properties |
| Integration with other systems | Must build every integration from scratch | Pre-built integrations with common systems (check yours) |
| Regulatory compliance | GDPR, PCI DSS, GST — your responsibility | Vendor maintains the software; you still own your compliance obligations |
| Who should consider it | Large hotel chains, or tech companies that operate hotels as a product testbed | Most independent hotels, boutiques and hotel groups |
The build decision is only financially rational when the hotel operator also intends to sell the software to other hotels — effectively becoming a software company that happens to own hotels. For all other independent hotel operators, buying established platforms and integrating them via open APIs is the correct answer on every dimension: cost, time, feature quality, and maintenance burden.
The hidden cost of a disconnected hotel tech stack
Vendors have an incentive to sell you their individual tool, not to explain the total cost of assembling a stack around it. Here are the cost categories a disconnected stack creates, and how to estimate each one for your own hotel:
| Hidden cost category | What it means | How to estimate it for your hotel |
|---|---|---|
| Manual data re-entry labour | Staff hours entering the same data into multiple systems (reservations, rates, guest records, revenue) | Hours per week × 52 × hourly cost. Illustrative: 10 hours a week at $25/hour is $13,000 a year. |
| Integration maintenance | IT time troubleshooting middleware connectors, API failures, and data sync errors across 7+ tools | IT or vendor support hours spent on sync failures, plus any middleware fees |
| Pricing delay cost | Revenue lost because the RMS prices on stale PMS data instead of current pickup | Room revenue × the RevPAR drag you assume. Each 1% of $3M room revenue is $30,000 a year, so test conservative assumptions. |
| OTA overpayment | Excess OTA commission from a direct booking channel that is not dynamically managed by the RMS | Room nights that could have booked direct × average rate × OTA commission rate |
| Missed CRM campaigns | Lapsed guest reactivation not triggered because CRM has no access to RMS demand data | Lapsed guests not contacted × a realistic rebooking rate × average stay value |
| GOPPAR blind spot | No live profitability view because accounting data stays in Xero, revenue data stays in PMS — month-end reconciliation only | Hard to quantify; note the decisions you made late because profitability data arrived at month end |
| Multiple subscription overlap | Paying for features in 3 tools that a connected platform covers in one | Sum of overlapping subscriptions |
Putting numbers on it Add up the categories above using your own hours, rates and assumptions, then compare the total with what a better-connected stack would cost. For reference, Propeter costs USD 5 per room per month with all Propeter software modules included (USD 3,000 a year for 50 rooms); implementation and setup are scoped and quoted separately. The ROI calculator helps you test the revenue side with your own assumptions.
The right hotel tech stack by property size
Tech stack requirements — and the budget to support them — scale with property size. Here is a typical stack architecture by hotel category (budgets vary widely by vendor and market, so price each layer directly):
🏡 Micro (10–30 rooms)
- PMS: simple cloud PMS (Beds24, Lodgify, Clock PMS)
- RMS: pricing tool (for example Propeter or RoomPriceGenie)
- Channel manager: included in PMS or SiteMinder Starter
- Booking engine: included in PMS or Propeter
- CRM: basic (guest CRM module or Mailchimp + manual segmentation)
- Accounting: Xero (essential even at this size)
🏨 Boutique (30–80 rooms)
- PMS: Mews, Cloudbeds, or Apaleo
- RMS + booking engine + CRM + loyalty: one connected revenue system (for example Propeter)
- Channel manager: SiteMinder or equivalent
- POS: Lightspeed or Tevalis (F&B)
- Accounting: Xero
🏢 Independent (80–150 rooms)
- PMS: Opera Cloud, Mews, or Cloudbeds
- RMS + platform: Propeter or IDeaS (evaluate both)
- Channel manager: SiteMinder Enterprise or RateGain
- POS: full F&B POS integration
- CRM + loyalty: Propeter or Revinate
- Accounting: Xero or M3
🏙️ Hotel Group (150+ rooms / 3+ properties)
- PMS: Opera Cloud or Apaleo (multi-property)
- RMS: a multi-property RMS (for example Propeter or IDeaS G3)
- CRS: centralised reservation system for group inventory
- CRM + loyalty: group CRM and loyalty (for example Propeter or Salesforce)
- Accounting: Xero multi-entity or Sage
AI-native vs AI-added hotel technology: why it matters for your stack
Almost every hotel technology vendor now claims to use “AI.” The distinction that determines actual revenue management performance — and that almost no vendor marketing explains — is whether the platform is AI-native (built from the ground up around machine learning) or AI-added (a rule-based system with AI features layered on top).
How to identify AI-native vs AI-added in your tech stack evaluation
| Test question to ask the vendor | AI-native answer | AI-added answer |
|---|---|---|
| “How does a booking made today affect tomorrow’s pricing?” | Describes a specific ML model training pipeline with a defined update frequency | Redirects to the analytics dashboard showing occupancy trends |
| “Show me why this specific rate was recommended” | Shows granular contributing factors: competitor rate, pace vs. forecast, event detection, elasticity estimate | Shows an occupancy chart and a rule that was triggered (“occupancy > 70% → rate +10%”) |
| “How does the system handle a demand signal it has never seen before?” | Explains how the model generalises from similar historical patterns and adjusts confidence intervals | Says the system will follow the nearest rule or flag for manual review |
| “What is the training data for the forecasting model?” | Specifies data sources, update frequency, and model architecture (e.g. XGBoost + LSTM ensemble) | Describes “historical occupancy data” without model detail |
For reference, Propeter blends XGBoost and LSTM demand forecasts (once enough booking history exists) with price-elasticity and RevPAR pipelines that feed a pricing engine with a policy gate, and each recommendation shows its calculation inputs. Ask every vendor on your shortlist the same four questions and compare the answers.
How to audit your current hotel tech stack
Before investing in new hotel technology, it is essential to understand what you currently have and where the gaps are. Here is a practical audit framework:
1
Inventory every tool you are currently paying for List every software subscription — name, cost, what it does, and which team member uses it. Include any tools that are “included” in another subscription but function as separate systems. Most hotels discover 2–3 tools they are paying for but barely using.
2
Map the data flow between every tool For each pair of systems that share data (e.g. PMS and channel manager), document: is this a native API connection, a middleware connector, or a manual export? How frequently does data sync? What happens when the sync fails? Draw this as a simple diagram — the gaps and manual processes will be immediately visible.
3
Measure manual reconciliation time Ask every team member who touches hotel software: how many hours per week do you spend copying data from one system into another, exporting and re-importing files, or fixing data discrepancies between tools? This is your integration debt — and it has a direct dollar cost.
4
Identify KPIs you cannot calculate Can you see live GOPPAR? Can you calculate NRevPAR by channel? Can you segment RevPAR by guest type (loyalty member vs OTA guest vs corporate)? Any metric you cannot calculate is a decision you are making without data — and usually a sign that two systems are not connected that should be.
5
Score each tool on value delivered vs cost For each tool in your inventory: rate its daily impact on revenue or operations (High / Medium / Low) versus its monthly cost. Low-impact, high-cost tools are the first candidates for replacement. High-impact, low-cost tools that are not connected to anything are the first candidates for integration investment.
What to replace first when upgrading your hotel tech stack
Most hotels cannot overhaul their entire tech stack simultaneously — the cost, disruption, and training burden is too high. Here is the priority order for upgrades, ranked by revenue impact and integration dependency:
| Upgrade priority | What to replace / add | Why this order | Expected impact |
|---|---|---|---|
| Priority 1 | Revenue Management System (if pricing manually or via spreadsheet) | Usually the biggest single revenue lever, because it affects every room night sold | Better-priced dates and less manual pricing time |
| Priority 2 | Direct Booking Engine (if OTA mix above 55%) | Every booking shifted from OTA to direct saves the commission on that booking | NRevPAR improvement, OTA commission reduction |
| Priority 3 | PMS → Accounting integration (if revenue reporting is manual) | Enables live GOPPAR — the most important profitability metric that RevPAR alone misses | Faster month-end close and earlier GOPPAR visibility |
| Priority 4 | CRM + Loyalty (if repeat booking rate below 20%) | Repeat guests who book direct cost far less to acquire than new guests via OTA | Higher repeat and direct booking share |
| Priority 5 | PMS upgrade (if current PMS lacks open API) | A closed-API PMS is the root cause of most stack integration failures — replace last because it causes the most operational disruption | Enables full stack connectivity after transition |
Hotel tech stack for India — market-specific requirements
The Indian hotel technology market has specific requirements that standard Western hotel software consistently fails to address. Hotels in India building or upgrading their tech stack need to evaluate every tool against these India-specific criteria:
GST compliance — non-negotiable at every layer
India’s Goods and Services Tax structure requires GST-inclusive pricing display in certain guest-facing contexts, GST-compliant invoicing from the PMS, and correct HSN code mapping in accounting systems. A PMS that does not handle Indian GST correctly will create compliance issues at every transaction. A channel manager that cannot display GST-inclusive rates on Indian OTAs will create rate display discrepancies on MakeMyTrip and Goibibo. Verify GST compliance at the PMS, booking engine, and accounting layers before purchasing any tool for the Indian market.
Indian OTA channel coverage — beyond Booking.com and Expedia
A channel manager for an Indian hotel must connect to: MakeMyTrip, Goibibo, Agoda, Yatra, EaseMyTrip, and Cleartrip — in addition to Booking.com and Expedia. Many Western-market channel managers support only the global OTAs. This is not a minor gap: MakeMyTrip and Goibibo are major channels for domestic leisure travel in India, and a channel manager that cannot push rates to them leaves a large part of that market without automated rate management.
WhatsApp Business API — India’s primary CRM channel
WhatsApp is the primary messaging channel for a very large share of Indian consumers, and many Indian guests respond to WhatsApp far more readily than to email. Any CRM or marketing tool for an Indian hotel should be evaluated on its WhatsApp Business API support, not just email. Test both channels with your own guests and compare response rates before committing budget.
Demand forecasting for Indian seasonal patterns
A Revenue Management System that uses generic global demand patterns will consistently underforecast demand during Indian-specific windows and overforecast demand during Indian-specific slow periods. The forecasting engine must include: Indian national holiday calendar, IPL cricket season demand patterns, Indian wedding season (October–February), regional festival calendars (Diwali, Navratri, Pongal, Onam, Durga Puja), and monsoon season patterns by region. Ask every vendor how these are captured: for example, Propeter includes scored local events data (via PredictHQ, where enabled) in its forecasts, and your own booking history captures recurring seasonal patterns.
Typical India hotel tech stack (boutique / independent hotel) PMS: Hotelogix or eZee Absolute (strong local GST handling) or Mews (for tech-forward operators) → RMS: a revenue management system that captures Indian festival and event demand (for example Propeter) → Channel Manager: RateGain or STAAH (strong Indian OTA connectivity) → CRM: a tool with WhatsApp Business API support → Accounting: Tally (most common in India) or Xero. Confirm with every vendor which of these systems they actually connect to.
Hotel tech stack for Australia — market-specific requirements
Australia’s hotel technology market is mature but has specific OTA and demand pattern requirements that generic global platforms consistently miss. Here is what Australian hotels need from each layer of their tech stack:
Australian OTA channel coverage
An Australian channel manager must connect to: Wotif (Australia’s largest domestic OTA, owned by Expedia Group), lastminute.com.au, Stayz (vacation rental / short-stay), Airbnb (for serviced apartments and vacation rentals), and HotelsCombined — in addition to the global OTAs. Wotif is particularly critical for regional Australian leisure properties; hotels in Queensland, the Whitsundays, and coastal NSW that are not visible on Wotif miss a significant share of domestic leisure demand.
Demand forecasting for Australian patterns
Australian hotel demand is driven by a combination of: state-by-state school holiday calendars (which vary by state and create interstate travel flows), major national events with highly concentrated hotel demand impact (Australian Open in Melbourne in January, Formula 1 Grand Prix in March, Vivid Sydney in May-June, Melbourne Cup in November), AFL and NRL season impacts on stadium-adjacent properties, and strong seasonality differentials between summer leisure markets (Queensland) and year-round business/MICE markets (Melbourne, Sydney, Brisbane CBDs).
Xero integration — the Australian accounting standard
Xero is widely used by small and medium businesses in Australia, including many independent hotels. Any hotel tech stack for an Australian property should be evaluated for Xero integration quality at the PMS and RMS layers. Propeter connects to Xero and maps your chart of accounts per property; the scope of automated posting is confirmed during implementation planning.
Typical Australian hotel tech stack (boutique / independent hotel) PMS: Mews or RMS Cloud (strong Australian market presence) → RMS + booking engine + CRM + loyalty: a connected revenue system (for example Propeter, which integrates with RMS Cloud in both directions) → Channel Manager: SiteMinder or equivalent → Accounting: Xero → POS: Lightspeed or Impos.
How to compare hotel tech stack costs by layer
| Stack layer | What you are paying for | What to ask the vendor |
|---|---|---|
| PMS | Operations, reservations, folios, night audit | Per-room or per-property fee? Which RMS and channel managers does it integrate with, and at what cost? |
| RMS | Forecasting and rate recommendations | What is included in the base price? How are rates approved and published? |
| Channel manager | Distribution of rates and availability to OTAs | Which OTAs in your market are covered? Any per-channel fees? |
| Direct booking engine | Commission-free direct reservations | Any per-booking commission? Which payment gateway, and what are its fees? |
| CRM + loyalty + messaging | Guest profiles, campaigns, member rates | Are email, SMS or WhatsApp messages charged per send? |
| Accounting integration | GL mapping and revenue data to your books | Which accounting systems are supported, and what data actually moves? |
| POS (F&B / spa) | Outlet sales | Does it post to the PMS folio automatically? |
Build your own comparison by asking each vendor for the all-in monthly price for your room count, including integration fees, modules charged separately, and implementation. Propeter costs USD 5 per room per month with all Propeter software modules included (revenue management, rate engine, direct booking engine, guest CRM and loyalty, Xero connection); implementation and setup are scoped and quoted separately. Your PMS, channel manager and POS remain separate, because Propeter works with these rather than replacing them.
Where Propeter fits in your tech stack
Propeter is a revenue management and pricing system that works with your PMS. Its software modules cover several layers of the stack, which can reduce the number of separate tools you pay for. It does not replace your PMS, which stays your system of record for reservations, folios and the night audit, and it works alongside your channel manager rather than replacing it.
| Stack layer | What Propeter includes | What remains separate |
|---|---|---|
| Standalone RMS / pricing tool | Rate recommendations with the reasoning shown, approval workflow, and floors, ceilings and maximum daily change | PMS (your system of record; check integration status for your PMS on the integrations page) |
| Direct booking engine | Direct booking engine with member rates and 0% commission on direct bookings | Channel manager (Propeter works alongside it) |
| CRM platform | Guest CRM with profiles, preferences and targeted email/SMS campaigns | POS system |
| Hotel loyalty programme | Loyalty with configurable tiers, points, gamification and member portal | Accounting system of record (Xero connection available) |
| Email and SMS messaging | Email and SMS lifecycle messaging, including pre-check-in invites and reminders | |
| Xero accounting integration / GOPPAR dashboard | Xero connection with per-property GL mapping and accounting logs; automated posting scope confirmed during implementation planning |
See a fully connected hotel tech stack in action
Book a demo to see rate recommendations, guest CRM, loyalty and reporting set up for a property of your size and market — and how Propeter would sit alongside your PMS and channel manager.
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Frequently asked questions about the hotel tech stack for revenue optimization
What is a hotel tech stack?
A hotel tech stack is the complete set of software systems a hotel uses to manage operations, distribute inventory, optimise revenue, and engage guests — and critically, how those systems connect to each other. A modern hotel revenue tech stack typically includes six layers: PMS, RMS, Channel Manager, Direct Booking Engine, CRM and Loyalty, and Accounting Software. The quality of a hotel’s tech stack is determined not just by which systems it includes, but by how deeply those systems are integrated and how much data flows between them automatically.
What software do hotels use for revenue management?
Hotels use Revenue Management Systems (RMS) for dynamic pricing — IDeaS G3, Duetto, RoomPriceGenie, Mews RMS (formerly Atomize) and Propeter are among the platforms independent hotels evaluate. These connect to the hotel’s PMS for live occupancy data and to the channel manager for rate distribution. Modern hotel revenue management also uses CRM for guest segmentation, direct booking engines for commission-free bookings, and Xero for GOPPAR profitability tracking. Some platforms, including Propeter, combine several of these layers in one system while integrating with the PMS and channel manager.
What is the best hotel tech stack for a small independent hotel?
For a small independent hotel: a cloud PMS (Mews, Cloudbeds, RMS Cloud or similar) for operations, plus a revenue management system for pricing, and a direct booking engine, CRM and loyalty that share the same pricing and guest data. The biggest mistake small hotels make is assembling many separate point-solution tools that are not connected, creating data silos and manual reconciliation that can outweigh the savings from cheaper individual tools. Propeter is one option that combines the revenue, booking engine, CRM and loyalty layers alongside your PMS.
How much does a hotel tech stack cost per month?
It varies widely by vendor, market and room count, so build the comparison from vendor quotes for each layer, including integration fees and modules charged separately. For reference, Propeter costs USD 5 per room per month (USD 250 a month for 50 rooms) with all Propeter software modules included; implementation and setup are scoped and quoted separately. Your PMS and channel manager are additional, because Propeter works with them rather than replacing them.
What is the difference between a hotel PMS and a hotel RMS?
A hotel PMS (Property Management System) manages operations — reservations, check-in, check-out, room assignments, housekeeping, and folios. A hotel RMS (Revenue Management System) manages pricing and revenue strategy — analysing demand signals, setting room rates dynamically, and distributing rates to all channels. The PMS and RMS must be integrated so that live occupancy data flows from the PMS into the RMS for accurate pricing, and approved rate changes flow back through the PMS or channel manager to the distribution channels.
What is open API in hotel technology and why does it matter?
An open API means a platform publishes documented integration endpoints that allow any other software system to connect without requiring the vendor’s permission or additional fees. Open API hotel systems allow you to build a best-of-breed stack — choosing the best PMS, RMS, and CRM independently and connecting them. Closed API systems lock hotels into the vendor’s ecosystem, limit integration options, and create expensive switching costs. Always ask every hotel software vendor: “Do you have a publicly documented open API?”
Should a hotel build or buy its technology stack?
For almost all independent hotels, buying established platforms is the right answer. Building custom hotel software needs a large development budget, a dedicated in-house tech team to maintain it, and a long build before first use. Buying established platforms with open APIs delivers proven functionality much sooner and at a fraction of the cost. Building only makes financial sense for large hotel chains or technology companies that operate hotels as a product testbed.
What hotel technology works best for hotels in India?
Indian hotels need: a GST-compliant PMS with Indian tax handling; a channel manager with MakeMyTrip, Goibibo, Agoda and Yatra connectivity; an RMS that captures Indian festival and event demand (Diwali, IPL, wedding season, regional festivals); a CRM with WhatsApp Business API support; and a direct booking engine supporting INR pricing and local payment methods. Check each vendor’s India coverage layer by layer rather than accepting an all-in-one claim.
What hotel technology works best for hotels in Australia?
Australian hotels need: a channel manager with Wotif and lastminute.com.au connectivity; an RMS that captures state-by-state school holidays and major events (Australian Open, F1 Grand Prix, Vivid Sydney, Melbourne Cup); AUD reporting; a Xero connection (Xero is widely used by Australian SMEs); and support in APAC time zones. Propeter integrates with RMS Cloud in both directions and connects to Xero; check the integrations page for the status of other systems.
What is the hidden cost of a disconnected hotel tech stack?
The hidden costs of a disconnected hotel tech stack fall into six categories: staff time for manual data re-entry; IT time and middleware fees for integration failures; revenue lost when the RMS prices on stale PMS data; excess OTA commission from a direct channel that is not actively managed; missed CRM campaign revenue; and overlapping tool subscriptions. Estimate each with your own hours, rates and booking data. For example, 10 hours a week of re-keying at $25 an hour is $13,000 a year before any revenue effect.
About this guide
Written by the Propeter team. Vendor names and prices change; verify current details with each vendor. Last reviewed: October 2026.
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