How Warehouses Cut Overtime by Planning Shifts With AI

A warehouse schedule is written days ahead, and the work shows up by the hour. Your supervisor staffs next week from last week's volume, the same week last year and whatever a client said on the phone.

When the orders land heavier, the same people stay late at time and a half and the staffing agency sends whoever it has. When they land lighter, people are paid to wait for a truck.

The paid week moves with the season, and it moves on the people already on your payroll.

Every hour past 40 in a week costs half again, by federal law. Part of that premium is the price of a schedule that guessed wrong, and that part can come down before anyone prices a robot, on data the building already records.

A Peak Hour Costs Half Again as Much

The three biggest floor jobs in warehousing, hand laborers, order pickers and forklift operators, averaged $22.51 an hour nationally in May 2025. The payroll costs that rise with pay, from Social Security to workers' compensation, add about 12% for these jobs.

Our example building runs two shifts with 120 hourly associates. In a peak week, 80 of them work eight hours of overtime each, and the building runs that way about 12 weeks a year: the run-up to the holidays plus a few client promotions.

That's 7,680 hours a year paid at $37.82, or $290,458 in overtime alone, before a single agency invoice.

A shift that's short in the two hours before a carrier's pickup also misses the truck, and the next morning starts by re-staging what should have shipped.

A Shift Planned on Averages Pays for Both Ends

A spreadsheet plans the day, and the work arrives in blocks an average can't see.

• Orders that drop after lunch for a 4 o'clock carrier pickup, the time the truck leaves with or without them
• Inbound trucks that run hours behind their appointment
• Mondays and the day after a holiday, when attendance rarely looks like a Wednesday's
• A mixed-case order that takes far longer to pick than a full pallet of one item
• The two people trained on the reach truck, the forklift that stocks high racks, both off on a day full of pallets to put away

So the morning shift stands around waiting for trailers, and the afternoon shift stays late to clear the dock.

Closing that gap takes a plan that sees the work by the hour, priced in the time each task takes in your building, and nothing new on the floor.

Qvery's Agents Plan Each Shift From Your Own Scans

Your warehouse management system (WMS), the software that tracks every order and location in the building, already holds that record. Every pick, every pallet put away and every truck loaded is a scan with a time on it. The timeclock knows who's in and who's trained on what.

Every night, our agents read the next day's open orders with their carrier cutoffs, the inbound appointments, and the scans of the last few months. From those scans they learn how long each kind of task takes in your building: a case pick in aisle 30, a pallet into a high rack, a mixed-carton order.

Before a scan counts, the gaps come out: breaks, a picker waiting for a shelf to be restocked, a shared login. Then the agents turn tomorrow's orders into hours of work for each two-hour block of each shift, and set them against who's scheduled.

Your supervisor gets a draft by the start of the shift before. Tomorrow's two hours before the 4 o'clock pickup need about 71 hours of picking against 58 scheduled, while the first two hours of the morning have more people than work.

So the draft starts four pickers two hours later, moves three people from receiving to picking at one, and stops there. It shows the gap, the moves that close it, and what's left.

The same forecast runs two weeks out. When a peak week is coming, the agency order goes in days ahead, sized to the blocks that need it, instead of the afternoon before.

The supervisor publishes the schedule, changes it, or ignores it. If your WMS already has a labor module you use, the add-on that sets a time standard for each task, the agents start from its standards and add the forecast by block.

A Robot's Business Case Runs on the Same Numbers

The vendor's payback model needs task times, travel and the hours of work by block. If your building can't produce those, it can't check the vendor's numbers, only take them.

The people who've run these buildings say the same thing about the order: fix the process and the data, then automate.

Bad data shows up first in the scans. If pickers scan a whole batch at the end, or two people share a login, the task times are wrong, and so is every plan built on them, a robot's included.

The agents' first weeks surface exactly that, zone by zone. And task times learned from a building's own history pay on their own: one peer-reviewed study that predicted picking times from a warehouse's past data and batched orders around them raised its daily picking capacity by 14.8%.

Planning first doesn't rule a robot out. It means that when one is priced, you're checking the payback against your own numbers.

A Quarter of the Peak Overtime Is About $65,000 a Year

The calculator starts from the example building: 80 associates on overtime in a peak week, 12 weeks a year, eight extra hours each, at $37.82 an overtime hour.

The agents take 25% of that overtime off, our assumption for the part that comes from the schedule rather than the volume: people idle in the morning and held late in the afternoon. The overtime the peak's volume needs stays in. Type your building's figures over ours.

On that example, the agents hand back 1,920 overtime hours a year. They run for about $600 a month, so the building keeps $65,414 a year, and each $10,000 spent building them comes back in about 1.8 months of savings.

The calculator counts only the overtime. The hours paid in quiet weeks to people waiting on late trucks are money too, and agency workers booked days ahead are more often ones who've worked in your building. We measure both on your own scans before claiming either.

The Agents Never Set Anyone's Pace

At your size the law has a view on that last point. In California and New York, a warehouse employer with 100 or more employees at one site has to describe any quota to its workers in writing, and no quota may cut into meal or rest breaks.

The agents plan the building's hours and leave pace with your managers, where the law already puts it.

Which systems the agents may open, and where your data is processed, is written into the contract before they connect to anything. That contract comes with a data processing agreement from Qvery AI OÜ, an EU company.

We Start by Rebuilding Your Last Peak

Send us last season's WMS history with its scans, the timeclock export for the same weeks, and your carrier cutoffs.

We rebuild those weeks block by block: the hours of work the scans show against the hours you paid. Then we run the forecast on those same weeks and show you how far it was off, before it plans anything real.

About two weeks after your systems are connected, the agents draft real schedules, and your supervisors set them beside their own. Every week after, you see the overtime hours, the agency hours and the hours the plan handed back.