That challenge has sharpened in recent years. Wage growth, tighter labor markets and more volatile demand have made the standard approach—staffing to last year’s numbers, then adjusting reactively once costs run high or service has already suffered—increasingly expensive.
Aimbridge Hospitality, the world’s leading third-party hotel management company, does it differently, applying data and intelligence to labor ahead of demand, so cost and service are managed together rather than traded off against each other after the fact. That kind of discipline matters because performance, not tenure, is how third-party management is judged.
“What makes third-party management fundamentally different is that we earn our place every single day,” said Chris Tatum, president of the Full Service division and Evolution Hospitality at Aimbridge Hospitality. “All we bring to the table is our ability to perform.”
Chris Tatum
Delivering that performance consistently takes more than capital or good intentions at the property level; it takes cross-portfolio data, analyzed at scale, to forecast, schedule and staff against demand—which is exactly why Aimbridge built LIFT, its new proprietary labor effectiveness solution.
Now rolling out across the Aimbridge portfolio, LIFT connects labor forecasting, scheduling and execution with anticipated occupancy and demand, so property and finance leaders can see where staffing is likely to drift out of step with the market and adjust before it shows up in the numbers.
“LIFT gives our teams the ability to see around the corner instead of reading the rearview mirror,” Tatum said. “That’s the difference between controlling costs and creating value.”
The operational logic is straightforward. When staffing is aligned more precisely to anticipated demand, a hotel can protect both the guest experience and the bottom line—adding labor where it drives satisfaction and easing it where it does not. Applied consistently, that kind of discipline tends to produce more predictable margins and fewer surprises for owners.
None of this replaces judgment. Forecasts inform decisions; they don’t make them, and the value of any tool depends on the operators using it. But the benefit is clear. As cost pressures persist, operators that perform best will treat labor as a discipline to be measured and planned—not a line item to be cut when results slip.
For owners deciding which operator to entrust with a property, that distinction matters. Operators can look similar on paper, but the day-to-day rigor one brings to its highest controllable cost is often what separates steady performance from volatility. Increasingly, that rigor depends on pairing data-driven intelligence with the operators who know how to act on it.
