Across the UK, hoteliers are facing sustained increases in labour, energy and distribution costs, placing renewed pressure on already tight margins. In a softer trading environment, this pressure is even more pronounced. As a result, technology decisions are being scrutinised more closely than ever. Investments that were previously made without a clear link to measurable commercial outcomes are now being re-evaluated as critical levers to drive revenue performance, improve operational efficiency, and support long-term asset value.
Technology Must Now Drive Performance
One trend is becoming increasingly clear across hotel groups in Europe: when market conditions are strong, hotels can afford to select systems that primarily automate existing practices, with decisions driven by how easily established manual processes can be configured, replicated or controlled through technology. In a more volatile and cost-sensitive environment, technology must move beyond codifying current behaviours to actively drive commercial performance.
This is prompting many operators to reassess their existing technology stack. A significant number already have revenue management systems in place, but are beginning to question whether those systems are truly identifying and delivering incremental revenue opportunities, or simply operating within constraints of under-defined rules and inherited ways of thinking. In many cases, these tools have been pushed to their natural limits, leaving asset owners and commercial leaders searching for new ways to unlock additional value.
The Hidden Cost of Control
Part of the challenge lies in how these systems are configured. In an effort to retain control, hotels often apply tight constraints around pricing and inventory decisions rather than algorithmically optimising each room class based on its unique demand patterns, price sensitivity, booking behavior and competitive context.
While these guard rails can provide reassurance, particularly in stable conditions, they can also severely limit a system’s ability to respond to real shifts in demand. For example, by dynamically setting overbooking levels that account for expected booking wash by room type, while also reflecting room class structure, demand by room class, and anticipated upgrades, a hotel can optimise sell-out on high-demand dates while containing operational risk. Without this level of mathematical decisioning, hotels may still achieve strong occupancy, but with greater exposure to displacement, unnecessary inventory protection, and missed revenue opportunities.
The same dynamic applies when rigid length-of-stay (LOS) controls or segment protections are left on autopilot. Instead of relying on static rules, more advanced revenue management technologies continuously assess which combinations of rooms, rates and stay patterns create the most value for each arrival date. This allows hotels to protect peak nights without unnecessarily turning away profitable demand, while also opening up availability on shoulder nights to improve overall occupancy. The result is a more balanced mix of business that maximises total revenue, rather than simply enforcing restrictions that no longer reflect how guests are actually booking.
We are seeing a clear paradox emerge. Many hoteliers instinctively want greater control when feeling the heat of uncertain markets. However, these same constraints can introduce human bias and prevent teams from capturing the full revenue opportunity.
Why Automation Now Matters More
In a softer, more volatile market, flexibility and responsiveness become more valuable than control. Allowing systems greater freedom to generate pricing and inventory recommendations, while managing by exception, enables hotels to respond more precisely to demand and unlock incremental revenue that more rigid approaches can miss.
The cost of this behaviour is becoming harder to ignore. Manual or otherwise insufficiently dynamic pricing, forecasting and inventory decisions not only consume valuable time but also increase the risk of missed revenue opportunities. More significantly, they introduce lag. When demand shifts, cancellations change, or booking behaviour rebalances across arrival dates and lengths of stay, static processes often fail to respond fast enough, and decisive actions are deferred at the moment they matter most.
This is where automation becomes genuinely trustworthy, not because it removes effort, but because it operates as a closed decision loop: continuously sensing change, updating forecasts and decisions together, and automatically translating those decisions into action so performance doesn’t depend on perfect human timing.
Crucially, it also depends on forecasting at the level hotels actually sell and manage: by segment and room class, by arrival date and length of stay, incorporating the booking window, day-of-week and seasonal effects, and reflecting the influence of competitive pricing on demand. With forecasts extending at least a year forward and refreshing multiple times a day, teams can move from reacting to demand swings to anticipating them, adjusting strategy earlier, with greater precision.
Independent academic evidence from hotel pricing reinforces why this matters: when humans remain “in the loop”, adjustment frictions can lead to biased execution and suboptimal outcomes, whereas full delegation to algorithmic pricing can materially reduce expected losses from mispricing (estimated at 4–36% in the study’s setting). [Zurich University study]
Smarter Control, Not Less Control
In an environment where marginal gains matter more than ever, this ability to learn, adapt and consistently fine‑tune decisions is no longer a differentiator; it is a prerequisite for sustained revenue performance.
Importantly, this shift is not about removing human oversight. Revenue management systems provide data-driven recommendations based on demand and market conditions, allowing teams to focus their attention where it matters most. By managing exceptions rather than every individual decision, hotel teams can operate more efficiently without losing strategic control.
As costs continue to rise and market conditions remain uncertain, the margin for error is narrowing. Hotels that prioritise flexible, data-driven technology and are willing to remove unnecessary constraints, will be better positioned to respond. Those that continue to rely on user controlled systems or manual processes risk limiting their own potential, at a time when extracting every possible gain from the business has never been more important.
Michael McCartan
2026-04-13 18:36:00