Why do hotels miss profit with manual revenue tools?

Why doesn’t revenue growth guarantee higher profit any more?

Because costs have started to outrun revenue. The big advisory firms agree on the diagnosis for 2026. CBRE warns that European RevPAR growth, driven mainly by price, will slow while labour, utilities and fees keep squeezing operating profit. JLL notes that persistent inflation and rising labour costs are already weighing on profitability. And Christie & Co expects RevPAR in Spain to grow on price rather than occupancy, with operating costs rising.

In Latin America the picture is similar and, in some markets, harsher. EY finds that the region’s revenue growth rests almost entirely on rate, with occupancy still below 2019 levels. And costs are not waiting: in Colombia, Cotelco warns that the minimum wage has risen by more than 23% in a year, when payroll already accounts for 30% to 40% of a hotel’s operating costs.

Put simply, the rate tailwind is fading and the cost bill is not. From now on, every point of profit will have to be earned in execution, not in average rate.

The question for the 2027 budget is not how much we will sell, but how much of it will reach EBITDA.

Where does a chain that manages revenue by hand lose profit?

In our conversations with hotel chain leadership teams, the same five leaks come up every time. None of them is a talent problem: the team knows what to do. They are execution and system problems.

• Decisions that arrive late. The strategy is reviewed on Monday, shared by email and reaches the last hotel days later. By then demand has moved and competitors have reacted.
• Prices that don’t know what each booking costs. Every channel has a different cost, and with OTAs the commission takes a meaningful share of the rate. A tool that only sees revenue treats a booking that leaves €145.50 in the chain exactly like one, at the same rate, that leaves €123.
• Hotels nobody reviews. With reports built by hand, only part of the portfolio is analysed in depth each week. The rest runs on rules someone set months ago.
• A board with several versions of the truth. Revenue, finance and sales arrive with different figures because each works from its own extract and spreadsheet. The first hour of the meeting goes on reconciling numbers instead of deciding.
• A strategy that lives in two or three heads. Business rules, agreements with each channel and pricing logic sit in spreadsheets that only the most senior people understand. If one of them leaves, the chain loses part of how it makes money.

What does fragmented data really cost?

More than shows up in the P&L. In most chains, the PMS, channel manager, CRS, RMS, BI and each department’s spreadsheets tell different versions of the same reality. Every report means extracting, cross-referencing and reconciling data by hand, and every hotel does it its own way. And AI makes the problem bigger: according to Deloitte’s State of AI in the Enterprise 2026, four in five companies still lack a mature governance model for their AI agents. Agents running on fragmented, ungoverned data multiply the problem instead of solving it.

For a chain, that cost multiplies by every hotel and every department. But the biggest cost is not the hours: it is the decisions made on yesterday’s data, or not made at all because nobody trusts the figure.

Why is RevPAR no longer enough as an objective?

RevPAR measures how much a hotel sells per available room. It does not measure how much it keeps. With distribution and labour costs rising, maximising RevPAR can mean filling the hotel through the most expensive channels and hitting the revenue target while missing the profit target.

Net RevPAR fixes that: it is room revenue minus distribution costs, divided by available rooms. This illustrative example shows why it changes decisions:

Illustrative example: same rate, different channel

	Direct booking	OTA booking
Rate per night	€150	€150
Distribution cost (illustrative)	€4.50 (3%)	€27 (18%)
What the chain keeps	€145.50	€123
Difference	—	€22.50 less per night

At scale, the gap stops being a detail. In an illustrative chain of 20 hotels and 3,000 rooms at 70% occupancy, shifting just 5% of nights from the direct channel to OTAs costs more than €860k of EBITDA a year, without RevPAR moving at all. And the next step is already on the horizon: TRevPAR, which adds the hotel’s other revenue, arrives in BEONx Spark in 2027, and GOPPAR is coming soon.

What risk does a chain run when its strategy depends on spreadsheets and its most senior people?

A continuity risk that rarely makes the board’s risk map. According to HOTREC, European hospitality is still missing, on average, one in ten workers, and experienced chain revenue profiles are among the hardest to replace. When commercial judgement lives in one person’s head and in a spreadsheet only they understand, their departure is not measured as one vacancy: it is measured in months of worse decisions.

The answer is not to retain those people at any cost, but to take the business model out of spreadsheets and into the system. Rules, commercial policies, price limits, protected segments and each hotel’s strategy should live in the agents that execute them. That way the chain can hire professionals who get the most out of the agents without depending on any one of them, and the knowledge stays with the company when people change.

What changes with an Agentic RMS such as BEONx Spark?

BEONx Spark is the first Agentic RMS: AI agents that execute a hotel chain’s commercial strategy 24/7, across its entire portfolio, within the limits the team sets and explaining every decision. Against the five leaks, it brings five changes:

• Strategy executed in real time. Agents recalculate and act every hour or every fifteen minutes, depending on configuration, and apply prices, restrictions and overbooking across every hotel and channel, nights and weekends included.
• Profit in every price. The Net RevPAR Agent builds the cost of each channel, plus tour operator allotments and releases, into every decision. The chain chooses what to maximise: RevPAR or Net RevPAR today, TRevPAR in 2027 and GOPPAR coming soon.
• One brain for the whole chain. One Brain consolidates the portfolio, cross-references hotels and produces instantly the reports that take days today.
• One source of data for the whole organisation. Revenue, finance, sales, operations and every hotel manager work from the same information and the same explanations. Each department contributes its part, and all of them push towards the objective set by the board.
• The business model in the system. Rules and policies are configured by talking to the system and are recorded, with role-based permissions and traceability for every action.

What does each member of the leadership team gain?

Profitability is not just a revenue topic. So the technology approved for 2027 has to answer what worries each member of the leadership team:

What changes for each role with BEONx Spark

Role	What worries them	What changes
CEO	EBITDA and business continuity	The board's strategy is executed every day across the portfolio, and the business model lives in the system, not in specific people
CFO	Costs growing faster than revenue, and figures that don't reconcile	Net RevPAR in every price, one source of data for the board and every decision traceable
Revenue Director	Hours on manual tasks and hotels left unreviewed	24/7 execution, management by exception and time for strategy, groups and channels
VP Sales	Channel cost and mix, tour operator allotments	The cost of each channel plus allotments and releases inside every decision, with the same data as revenue
IT Director	Security, integrations and ungoverned AI	Role-based permissions, a log of every action, choice of AI model and two-way integrations with PMS, channel manager and CRS

Which technology should a chain prioritise in its 2027 budget?

The investment is already decided. According to BCG’s AI Radar 2026, based on 2,360 executives including 640 CEOs, companies will double their AI investment in 2026, more than 30% of it will go to AI agents and seven in ten CEOs now see themselves as the main decision-makers. The question is not whether to invest, but in what. These are the six criteria we recommend taking to the board:

1. It must grow profit, not just RevPAR. It should optimise the objective the board sets, with the cost of each channel inside every price.
2. It must decide and execute in real time. It should turn strategy into action across every hotel and channel without waiting for the weekly review.
3. It must unify the data. One version of the truth for revenue, finance, sales and the board.
4. It must have agents able to orchestrate the rest of the stack. It should talk to the PMS, channel manager, CRS and other systems through integrations and open standards such as MCP, so all the technology works to one strategy.
5. It must be secure by design. Role-based access, respect for data governance and protection policies, a log of every action and freedom to choose the AI model.
6. It must keep the business model in the system. Rules, policies and strategy should belong to the chain, not to a spreadsheet or a person.

Frequently asked questions

Why can a hotel chain sell more and earn less?

Because labour, distribution and utility costs are growing faster than revenue, as CBRE and JLL warn in their 2026 analyses. If technology only optimises RevPAR, growth can come from the most expensive channels and never reach EBITDA.

What is Net RevPAR?

Room revenue minus distribution costs, divided by available rooms. It measures what the chain keeps, not only what it sells.

Why doesn’t RevPAR growth turn into more profit?

Because it rests mainly on price rather than occupancy, while labour, utility and distribution costs keep rising. CBRE, Christie & Co and EY agree that 2026 growth is being carried by rate, in Europe and in Latin America alike.

What is the risk of relying on spreadsheets for revenue management?

Beyond the hours and the errors, the strategy ends up in the hands of whoever understands the spreadsheets. If that person leaves, the chain loses part of how it makes money. Moving rules and policies into an agent system removes that dependency.

How can a chain make sure everyone brings the same figures to the board?

By working from a single source of data and a single decision system for revenue, finance, sales and operations. With BEONx Spark, everyone sees the same information and the same explanation for every decision.

Does automating revenue management replace the revenue manager?

No. The revenue manager sets the strategy, the limits and the exceptions; the agents execute it and explain every decision. The role moves from managing rates to managing profitability.

What is an Agentic RMS?

A revenue management system with AI agents that execute the chain’s commercial strategy continuously, within its rules and limits, and explain every decision. BEONx Spark is the first Agentic RMS.

Which technology should a hotel chain prioritise in its 2027 budget?

Technology that grows profit, not just RevPAR; decides and executes in real time; unifies data for the whole organisation; orchestrates other systems securely; and keeps the business model in the system rather than in people or spreadsheets.

Sources:

• CBRE, “European Hotel Market Outlook 2026: Midyear” (August 2026)
• JLL, “Global Hotel Investment Outlook 2026” (February 2026)
• Christie & Co, “Business Outlook 2026: Hotels Spain” (2026)
• EY, “Latinoamérica supera los 35 millones de turistas internacionales y consolida la recuperación del sector hotelero” (March 2026)
• Cotelco, via La República, “Hoteles temen golpe de rentabilidad por costos de luz, transporte y comida este año” (21 February 2026)
• Deloitte, “2026 Travel Industry Outlook” (5 February 2026)
• Deloitte, “State of AI in the Enterprise 2026” (April 2026; 3,235 leaders in 24 countries)
• BCG, “AI Radar 2026: As AI Investments Surge, CEOs Take the Lead” (15 January 2026; 2,360 executives, 640 CEOs)
• HOTREC, “Skills and Labour Shortages: A Roadmap for Action” (January 2026)

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Keep reading: How do AI revenue management systems improve hotel pricing decisions?

About BEONx. BEONx was founded in Salamanca in 2012 to help hotels maximise their profitability. In 2026 it launched BEONx Spark, the first Agentic RMS: AI agents that execute a hotel chain’s commercial strategy 24/7, across its entire portfolio, within the limits the team sets and explaining every decision.