Autonomous Mobile Robot ROI in New York: Labor Hours and Payback

Autonomous mobile robot ROI in New York: what return is realistic?

An autonomous mobile robot earns its place by doing repetitive transport on a fixed route, carrying totes, pallets and carts between receiving, storage, staging and dock areas. In New York the case rests on two things: the hours of that work your team already covers, and the injury exposure that comes with it. The return is a range, not a promise, and the range is only as good as the hours it is built on.

The calculator on this page is pre-filled for New York, NY and shows a computed savings range from the hours you enter. The low end assumes the robot takes fewer of those hours and the high end assumes it takes more. Neither end is guaranteed, and the range is a planning figure until a site assessment measures your own routes.

Where does the return come from in a New York facility?

Most of the return comes from labor hours. Moving material between dock, storage and line is work done by people in the laborers and freight, stock, and material movers, hand group, and it is repetitive, predictable and measurable. A robot that takes a steady share of those trips frees people for work that needs judgment, or lets you cover a shift without adding staff.

The second source is injury exposure. According to NELP's 2024 report, based on BLS data for 2023, New York warehouse workers were injured at a rate of 11.5 per 100 workers, up from 8.8 per 100 in 2022, and total warehouse injuries in the state rose 30 percent over that year. NELP also reports the rate was twice the national rate, and that it rose from one injury per 28 workers in 2017 to one per 11 workers in 2022.

The BLS Occupational Outlook Handbook says the broader hand laborers and material movers group has some of the highest rates of injuries and illnesses of all occupations. It names heavy lifting and moving objects around warehouses or onto trucks as sources of sprains, strains and overexertion. A robot does not remove people from the floor, but it can take the long transport legs off their backs.

How does the payback math work?

Start with the hours. Count the hours per shift and per week that transport work takes today, then take the share a robot can realistically handle on your routes. Multiply those hours by the local wage for the job, shown in the panel beside this text. That product is the labor offset for each period.

Subtract the fixed lease payment for the same period. That figure is quoted after a site assessment and can include maintenance, service and emergency response, depending on the program. What remains is the net savings each period. Add any one-time setup and staff training costs the quote lists, then divide to find the months to payback.

Here is the logic in plain terms. If the transport work on one route fills a set number of hours each week, and the robot takes a share of those hours, the labor offset is that share times those hours times the wage. Compare it with the lease payment for the same weeks. If the offset is larger, the route pays for the robot. If it is smaller, the case rests on something else, such as injury reduction or coverage for hours you cannot staff, and that should be stated plainly.

Keep every input written down, including where the hours came from, because the people who sign off will ask. A figure with a source is worth more than a higher figure without one.

What local labor numbers matter for this decision?

The government wage data on this page covers the laborers and freight, stock, and material movers, hand occupation in New York, NY. Treat it as the value of one hour of the work the robot takes over. The BLS May 2023 estimate for the New York-Newark-Jersey City metro counted 130,180 people employed in this occupation, which shows how large the local pool is and how much of the regional workforce does this kind of transport work.

National context helps but does not replace local numbers. The BLS Occupational Outlook Handbook lists the broader hand laborers and material movers group at 7,105,700 workers in 2023. According to IFR, US industrial robot installations rose 11 percent in 2025, to 38,000 units on a preliminary basis, and food adoption grew 30 percent. IFR does not break out warehouse or logistics installations, so that figure shows the trend in industry, not a New York benchmark.

We did not verify a per-site headcount for this work in New York, so this page does not publish one. The minimum planning case is one person on the transport work. The site assessment replaces that with your real headcount and shift schedule, since a single day shift and a three shift operation carry very different hours.

How much of the work can a robot realistically take?

Not all of it. Robots do best on fixed, repeatable transport between known points on a mapped route. They do poorly on unpredictable loading, heavy manual handling at the pallet, and tasks that need a person to read a damaged label or clear a blocked door. Plan around the share of trips that fit the first category, not the total hours in the building.

Published data on hours per shift for laborer tasks in this setting is thin. We did not verify a figure, so the table below names the task types and what changes them. The site assessment fills in the hour counts from your own records and a timed walk of each route, and the savings range is built from those counts rather than from an industry average.

What changes the number up or down?

Route length and repetition move the number most. Long, straight, repeated trips between two fixed points return more hours than short, irregular moves with frequent stops. Shift coverage matters too. A robot that runs a second or night shift adds value only when there is transport work in those hours and staff to receive what it moves.

Floor layout and traffic come next. Doors, elevators, narrow aisles and mixed traffic with forklifts change the route and the share of work the robot can take. Documented injury and overtime records support the injury side of the case, and the staff time spent on manual handling today is real. Keep those out of the base math unless your records back them.

The wage side moves with the local labor market, so a higher local wage raises the offset without any change on the floor. The hours side moves only with the work itself, which is why the site assessment spends its time on routes and shifts rather than on the wage.

What are the risks to the return, and how do you avoid them?

The biggest risk is overestimating the share of work the robot takes. If the robot is set up for hours that never arrive, the savings range falls with them. Start with one leased unit on the busiest route, measure the hours taken over several weeks, and widen the deployment only after that data supports it. A phased approach also keeps the floor running without a shutdown.

The second risk is downtime. A robot that stops mid shift hands the work back to people, so the return depends on how quickly it is serviced. Our service includes on-site dispatch, remote triage and loaner units, and a backup robot program for sites where one unit cannot carry the route. Get response terms in writing before you sign, and ask what happens during a service visit.

Plan for change too. Layout changes, new products and a different mix of orders alter routes, and a route that fit last year may need remapping. Build a review point into the lease term so the measured hours are checked against the original forecast.

How long does it take to reach payback?

Timelines vary by site, but the sequence is consistent. Assessment and mapping come first, then the quote, then a phased deployment that runs alongside daily operations. Go-live support follows, then a measurement period in which the hours taken over are recorded against the forecast.

Payback comes when cumulative net savings cover the one-time setup costs. A site that proves the hours on one route can add units on the same pattern, so the first measured period sets the pace for the rest. Expect the first full picture to take several weeks of real operation rather than a few days.

We cannot give a number of months before the assessment, because payback depends on hours we measure, not on the calendar. Anyone who gives you a month count before seeing your routes is working from a template, not from your floor.

How do I get a precise figure from a free site assessment?

We pick the robot that fits your floor, lease it through financing, deploy and integrate it with your systems, train your staff and service it nationwide. The free site assessment maps the route, counts the transport hours from your records and a floor walk, and sets the share of work a robot can take. The lease payment is quoted after that assessment, so the payback you see is built on your site.

Bring three things: sample shift schedules, the routes and loads that move most often, and any injury or overtime records for that work. With those, the calculator on this page can be re-run with your numbers and the savings range narrows. Keep the range until measured hours arrive, and treat any single figure as a starting point, not a commitment.