Most overtime problems are scheduling problems. The staff level is right. The distribution of hours is wrong.
Analyze before acting
Pull 90 days of overtime data before changing anything. In most businesses, 20% of staff account for 80% of overtime hours. That concentration means the problem is not spread evenly. Targeting the top 5 overtime earners in a 30-person operation is more effective than blanket policy changes affecting the whole team.
Identify when overtime occurs, not just who generates it. A retail operation that spikes every Saturday afternoon has a different structural problem than one that leaks 30 minutes per shift across 15 people on weekday evenings. The causes and the fixes are different.
Stagger shift start and end times
A cafe that opens at 08:00 but peaks between 12:15 and 13:30 does not need all staff from 08:00 to 14:00. Scheduling four staff from 08:00 to 14:00 and two additional staff from 11:30 to 15:00 covers the peak without paying six people through the quiet morning period.
Map actual demand against current shift patterns. The gap between the two is scheduling waste. Close it before adding hours or people.
Cross-train staff
Overtime concentrates in specific roles when no one else can fill them. If the stock room generates overtime while front-of-house has idle time in the same windows, cross-training turns that idle time into capacity.
The barrier is not skill. A front-of-house worker can learn stock processes in 2-3 shifts. The real barrier is scheduling habit - managers default to the same assignments because it is faster than managing exceptions. A short cross-training investment creates flexible coverage and makes the overtime problem solvable without adding headcount.
Require approval for unplanned overtime
Unplanned overtime - staff staying late without prior sign-off - drives the majority of overtime costs in hospitality and retail. One rule changes the pattern: any overtime above 30 minutes per shift requires manager confirmation before it appears on the payroll.
This does two things. Managers get real-time information about overtime occurring on their shift rather than seeing it after the fact. And responsibility shifts - staff can no longer stay late without someone actively owning the decision and its cost.
Businesses that implement overtime approval requirements see 15-25% reductions in unplanned overtime within 60 days. The mechanism is not cutting hours. It is making the cost visible at the moment it occurs rather than discovering it at month-end.
Tracking the result
Overtime reduction only works if you measure the baseline first. Without a reference point, you cannot tell whether the changes are having an effect or whether savings came from a quieter trading period.
Rezano flags shifts approaching overtime in real time, sends manager alerts before thresholds breach, logs every approval decision, and generates overtime reports by employee, location, and time period.