5 Ways Hotels Overspend on Labour (And How to Fix It)

The hidden cost of "just in case" staffing

When a GM isn't confident in their demand forecast, they staff up. It's the safe choice — nobody wants a front desk with two guests waiting and one clerk. But "just in case" staffing adds up fast.

Across the properties we've analysed, the average hotel overstaffs by 8–15% on low-demand days. On a $40,000 monthly labour bill, that's $3,200 to $6,000 walking out the door every month.

Here are the five most common ways it happens:

1. Flat-rate scheduling

Scheduling the same number of staff every Tuesday regardless of occupancy is the most common mistake. A Tuesday at 40% occupancy needs a fundamentally different team than a Tuesday at 85%.

The fix: Match staffing to predicted demand, not to day-of-week habits. Even a simple occupancy-based adjustment can save 5–8% on labour.

2. Ignoring shoulder periods

The gap between lunch and dinner service, the quiet hours between check-out and check-in — these periods often run with full staffing when half the team could be released.

The fix: Break shifts into morning, afternoon, and evening blocks. Staff each block independently based on expected activity.

3. No visibility into labour percentage

If you don't know your labour cost as a percentage of revenue until payroll runs, you can't manage it. You're flying blind.

The fix: Forecast labour percentage before the shift starts. If predicted labour is above target, adjust the rota before the team clocks in.

4. Over-relying on overtime

Overtime is 1.5x regular pay. One extra hour from four staff members, three days a week, adds up to roughly $15,000 per year at a modest hourly rate.

The fix: Build rotas that fit within contracted hours. Use split shifts or staggered starts instead of extending existing shifts.

5. Not tracking forecast accuracy

If you don't measure how accurate your predictions are, you can't improve them. Most properties have no feedback loop between what they planned and what actually happened.

The fix: Log actual bookings after each shift and compare them to your forecast. Over time, your predictions get sharper and your staffing gets tighter.

The bottom line

Labour cost control isn't about cutting staff — it's about deploying them intelligently. The properties that get this right don't just save money. They deliver better service, because the right people are in the right place at the right time.

Arcus automates all five of these fixes. Upload your data, and your first brief is ready in under five minutes.