Autonomous Mobile Robot ROI in Des Moines: Labor Hours and Payback

What is autonomous mobile robot ROI in Des Moines, and what return can a business expect?

Autonomous mobile robot ROI in Des Moines is mostly a labor question. The return comes from repetitive material movement work that already fills paid hours on a shift, such as moving totes and pallets between docks, staging areas and pick lines, and running the same routes again and again. A robot takes a share of those trips, and the value of the hours it covers sets the savings range.

The occupation is large. According to the BLS Occupational Outlook Handbook, hand laborers and material movers held about 7.0 million jobs in 2024, and the handbook projects 4 percent growth from 2024 to 2034, about as fast as the average for all occupations. That scale means the labor side of the math can be planned from local data rather than guessed.

The local context is also measurable. Iowa Workforce Development's 2024 industry profile reports 4,963 transportation and warehousing locations in Iowa and about 72,030 jobs in that sector, based on QCEW data. FRED shows transportation, warehousing, and utilities employment in the Des Moines-West Des Moines metro area at 18.8 thousand in 2024, up from 17.5 thousand in 2023. That series combines three sectors, so it does not count warehousing alone.

Use the calculator on this page for a Des Moines savings range. It is a planning window, not a promise, and it tightens once the site's hours and routes are measured.

Where does the labor saving come from in a Des Moines warehouse?

The labor side is priced on the wage of Laborers and Freight, Stock, and Material Movers, Hand. The government wage data on this page gives the local rate for that job, and that rate sets the value of each hour the robot takes over. Keeping every hour in this one unit is what makes the math checkable.

Warehousing is also a setting where injuries are a real cost. According to BLS, the 2024 total recordable case rate for warehousing and storage (NAICS 493) was 4.8 per 100 full-time workers. The DART rate was 4.1, 1.5 cases involved days away from work, and 32 fatalities were recorded in the sector in 2024.

BLS also notes a series break from 2023 data because of the NAICS 2022 revision, so compare 2024 with later years rather than with older rates. Injury cost is not part of the savings range on this page, but it belongs in the risk review.

How does the ROI math work for a leased robot?

Start with the hours of material movement work the site already pays for on each shift. Then estimate the share of those hours a robot can realistically take over, based on how repetitive the trips are. Multiply that share by the local value of an hour from the government wage data on this page to get the labor offset.

Next, subtract the lease cost. The lease comes as a fixed robot lease payment in a quote issued after a free site assessment, and the quote should state whether maintenance and service are included. Because robots rarely cover every trip, the share of hours deserves more scrutiny than the lease line.

The savings range is the spread between a conservative share and an optimistic share of hours. Plan with the conservative share first. The calculator uses a placeholder for crew size per site, because our research did not verify a typical crew size for this kind of site. The site assessment replaces that placeholder with the site's own staffing.

What changes the number up or down?

Three factors move the range most: how repetitive the trips are, how much of the floor the robot can use without new infrastructure, and how often work stops for exceptions. Fixed routes with steady volume give a robot more hours to offset. Irregular routes, blocked aisles and frequent layout changes give it fewer.

Shift coverage matters as well. Hours only offset when the robot runs during hours the site already pays for, so a single light day shift produces a narrow range. Open hours raise the value of covered time, but only when the site can show those hours in its own records.

How should turnover be counted in the return?

Turnover adds cost that base wages do not show, including training time for new people on the same routes and overtime used to cover open shifts. Our research did not produce a verified turnover figure for warehousing, so this page does not put a number on it. The site's own separation and vacancy records are the better source.

A robot does not resign, but it also does not fill a short shift on its own. The best case is fewer open hours to cover and less time spent training people on repetitive routes, not a clean one-for-one headcount swap. Count those hours separately from the base labor offset so they are not counted twice.

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

The biggest risk is counting hours that do not exist. A route that changes every week, or trips that are really exceptions, will shrink the range. Keep the planning case on work that appears in the records, and leave the irregular moves with people.

Safety is the second risk. BLS figures for warehousing show real injury exposure: a total recordable case rate of 4.8 per 100 full-time workers in 2024 and 32 fatalities across the sector that year. A robot that shares an aisle with people needs clear zones, speed limits and a trained supervisor who knows the stop procedures. Build those controls into the install plan rather than adding them after go-live.

The third risk is overpromising. A range built on the best hours in the records will fail the first slow month. Set a review after the early operating period, compare actual trip counts with the planning case, and adjust the share before the lease terms are tested.

Where does a robot win, and where do people still win?

A robot is not a substitute for a crew. It is strongest on repeated, predictable travel and weakest on judgment, exceptions and loads that need hands. The comparison below is about the work, not about the people who do it.

Use the comparison to decide which trips to assign to the robot and which to keep with the crew, then test that split during the early operating period.

What is a realistic timeline from site assessment to payback?

The sequence is more predictable than the savings range. Each stage has a clear output, and the payback clock starts at go-live, not at signing.

Expect the most variance in the first operating period, while routes settle and staff learn which exceptions to send back to people. A site with clean records reaches a reliable read faster than one that has to rebuild its hours data first.

• Site assessment: map routes, pull shift and task records, and measure the share of repetitive trips
• Lease quote: a fixed robot lease payment and a savings range are issued after the assessment
• Deployment and integration: route setup, staff training and go-live support
• Stabilization: the robot runs the repetitive routes while actual trip counts are compared with the planning case
• Payback review: measured hours offset are compared with the lease cost, and the share of work is adjusted

How common are these robots, and how do I get a precise figure?

Adoption is growing. According to A3, North American companies ordered 36,766 robots in 2025, up 6.6 percent in units from 2024, and non-automotive orders surpassed automotive orders. These figures cover all robot types, not mobile robots alone, so they show the direction of the market rather than a benchmark for this setting.

We pick the robot that fits your floor, lease it through financing, deploy and integrate it, train your staff, and service it nationwide. We are a vendor neutral integrator, so the choice follows the site rather than a single product line.

For a precise figure, request a free site assessment. We map the routes, pull your hours and volumes, and return a lease quote with a savings range for your Des Moines site. Until then, the calculator on this page gives a planning range, not a promise.