For decades, hotel labor management has followed a familiar rhythm. Schedules are built, shifts are worked, payroll is processed and operators review labor performance weeks later in a monthly P&L. By then, the story is already over.
For Mehr Consultancy, that lag became increasingly untenable as operating conditions shifted over the past two years.
“The financial landscape has been different than I think we’ve ever seen before,” said Harmeet Mann, CEO, Mehr Consultancy. “That alone has required operators to prioritize real-time data, be more nimble and pivot faster when things are not going correctly.”
Labor is one of the few major costs hotel operators can actively control, but traditional reporting cycles often turn it into a backward-looking exercise rather than a management tool. According to Mann, by the time labor shows up as an issue on a monthly operating statement, the opportunity to correct it has already passed.
“You’re halfway into the next month, and you’re looking at last month’s numbers,” she said. “At that point, you might not even be focused on how much your labor is out of control.”
Mehr Consultancy shifted away from monthly labor reviews in favor of daily labor visibility, allowing leadership and property teams to track performance in near real time.
Manjot Bains, COO, Mehr Consultancy, noted that the company oversees nearly 40 hotels across 14 states. He said daily labor flash reports have fundamentally changed how issues are identified and addressed.
“We do a seven-day back history,” Bains said. “You’re able to see if something was a one-day spike or if it’s becoming a pattern.”
That rolling view allows operators to separate legitimate operational needs from inefficiencies. A weekend occupancy surge might explain a short-term increase in housekeeping hours. But when elevated labor appears across multiple days, it signals the need for immediate adjustment.
What once took weeks or months to uncover can now be identified and corrected within days or even hours.
Daily visibility also brings greater precision to departmental labor planning. Bains pointed to housekeeping, laundry and maintenance as areas where inefficiencies surface quickly when labor is tracked in detail.
“It’s not just 30 minutes per room anymore,” he said. “You can calculate exact numbers based on clean rooms, stayovers, public areas, breakfast spaces, meeting rooms and gyms.”
Maintenance follows a similar shift. Rather than viewing labor as a fixed eight-hour shift, tasks are assigned and tracked based on daily, weekly and monthly needs, with progress visible in real time.
While daily accountability might sound restrictive, he said the opposite is true for employees. Better forecasting allows teams to understand what kind of day lies ahead and reduces last-minute schedule changes.
“They’re not getting sent home early,” said Bains. “They’re getting their hours, and they appreciate that.”
The data also supports more constructive conversations around performance and advancement. Instead of vague feedback, managers can point to specific metrics that show what is working and what needs improvement.
“The guessing game isn’t there anymore,” he said. “You have a little bit more of a science.”
That transparency extends beyond individual properties. General managers, regional leaders and executives all review the same reports, creating alignment across the organization.
The financial impact has been immediate. Even at newly transitioned properties, Bains said inefficiencies become visible within days.
“Within three weeks, we probably cut 10% already on waste,” he said. “You’re not waiting one or two months down the road to make changes.”
Mehr Consultancy uses multiple modules from Inn-Flow, including labor forecasting, scheduling, reporting and accounting. Mann said integrating labor data directly into financial statements has eliminated silos and sharpened focus.
“Once payroll is processed, it feeds into the P&L,” she said. “You’re looking at how labor affects your bottom line as a line item.”
As technology continues to evolve, Bains sees tools like automation and AI playing a supporting role behind the scenes, helping teams react faster and spend more time focused on guests rather than paperwork.
