Beyond the P&L Report: Bringing Hotel Finance Into the Daily Operation

On 9 July 2026, Juyo's Chief Commercial Officer Bram van Berkel joined ExploreTECH's TECH Matchmaker Live & Anonymous webinar series (Series 6) for a session titled “Finance Technology Driving Profitability, Planning & Data Control.” ExploreTECH is a digital marketplace built specifically for hospitality and travel technology, co-founded by Antoine Medawar, Mona Faraj and Ralph Melis, who also hosted the live discussion.

TECH Matchmaker is its flagship webinar format: short, focused vendor sessions, each built around a single commercial theme, followed by live audience Q&A, designed to help hoteliers and asset managers cut through procurement noise and compare solutions against a real operational problem rather than a feature list.

This particular edition paired three finance and commercial technology providers — Fairmas, Juyo Analytics and Omniboost — each addressing profitability from a different angle: budgeting and financial planning, connected data automation, and, in Juyo's case, the link between commercial decisions and the P&L.

The theme could not be more timely. Across the UK market, HotStats 2025 data shows total revenue per available room (TRevPAR) down 0.9% while labour costs rose 4.2%, pushing profit per available room down 6.6%. Only markets growing revenue above roughly 3.5% are still managing to expand margin. In other words: cost inflation is outrunning revenue growth for most operators, and the tools finance teams have traditionally relied on, principally the monthly P&L, were not built to catch that in time to act on it.

Beyond the P&L report

Bram van Berkel, Chief Commercial Officer at Juyo Analytics, opened with a simple but pointed argument: the monthly P&L is a record of past decisions, not a tool to change the outcome. By the time it lands, the decisions that shaped it , rate, mix, staffing, were made weeks earlier, the month is already closed, and in many organisations the numbers Finance is looking at don't match the commercial data the rest of the property relies on. On his estimate, roughly 90% of month-end work goes into moving and reconciling data across systems rather than analysing it:

1. Decisions made weeks before the P&L lands
2. Month closed results are already locked in
3. Misalignment finance data vs. the rest of the property

His core thesis: every line on the P&L has a commercial cause, and when P&L and commercial data live in separate systems, that cause and effect becomes invisible. He walked through three examples that will be familiar to most revenue and finance leaders:

• Revenue up, GOP flat: because the mix quietly shifted to a higher-cost distribution channel. It looks like a finance problem; it's actually a distribution decision.
• Occupancy up, flow-through down: because the extra volume came through low-rated segments, so payroll per occupied room rose in step with a “commercial win” that actually created the cost.
• F&B revenue up, margin down: because banqueting was priced without the cost side in view. Topline looks healthy; contribution quietly shrinks.

As Bram framed it: with two disconnected reports, the meeting becomes an argument about whose number is right. With one shared view of finance and commercial data, the meeting can finally be about what to do next.

From monthly report to daily dashboard

The proposed shift is from a static report to a live dashboard: daily flow-through instead of monthly GOP, cost per occupied room tracked alongside pickup and pace, and housekeeping cost viewed side by side with occupancy by room type. Bram shared a client testimonial that captured the practical impact of that shift:

"The speed of turnaround is night and day. Information that used to take hours or days is now available instantly." — Stuart Houston, Finance Director, RBH Management

A three-part gameplan for finance teams

Bram closed the substantive part of his talk with a practical, three-part plan hoteliers and asset managers can apply regardless of which vendor they use:

Forecast improvement

A forecast isn't a planning ritual, it's a margin tool, used to commit staffing, purchasing and pricing decisions before the window closes. The benchmark Bram cited: ±5% variance against actuals a month out for most operators, tightening to ±3% for sharper ones. His recommendation: measure your own forecast error every month, by revenue line, and assign clear ownership, something most groups, in his experience, have never actually measured.

One version of the truth

PMS, POS, and accounting data need to be resolved into a single data model, with definitions fixed once and applied centrally, feeding both property-level and portfolio-level views. Bram flagged good timing for this: with USALI's 12th edition now in effect — bringing new FTE reporting, a separate brand-and-operator cost schedule, and energy, water, and waste metrics — most groups are restructuring their chart of accounts anyway. His advice: standardise the definitions, not just the questions.

Decision-making cadence

Tools don't decide anything on their own — the dashboard has to be wired into a habit, and Bram was clear this cadence can be run even by teams who never buy any new technology: a weekly 30-minute review of flow-through, pickup and forecast variance; a monthly review scoring forecast error by revenue line against the commercial moves that drove it; and a quarterly audit confirming every team is still working from the same numbers and definitions.

What this looks like inside Juyo

Bram then walked through how Juyo's platform is built to support that game plan, through two core capabilities:

• Ask: HotelGPT and Kassandra AI let users put plain-language questions to their own data and get back an answer plus the reasoning behind it.
• Analyze: Canvas gives custom views that blend PMS, finance and F&B data side by side, at property level or across a full portfolio.

He demonstrated this live with a Canvas P&L view comparing actuals, budget, forecast and prior year across a full chart of accounts, alongside segment and daily performance charts,  finance and commercial data genuinely side by side, rather than reconciled after the fact.

Live Q&A with ExploreTECH

The session closed with a live discussion between Bram and ExploreTECH co-founder and host Ralph Melis, who put audience questions to Bram on rolling this approach out in practice — rounding off a session that, appropriately for a talk about connecting commercial and financial data, paired a clear framework with a live look at the product built to run it.

Watch the full TECH Matchmaker session, “Finance Technology Driving Profitability”, featuring Fairmas, Juyo Analytics and Omniboost, via ExploreTECH.