How Much Staff Time Do Manual Courier Runs Really Burn?

What does a manual courier run really cost a facility?

A manual courier run looks cheap on any single trip. A nurse, porter, or runner walks a specimen to the lab or a medication from the pharmacy to a ward, and the trip takes a few minutes. The cost hides in the sum of those trips across a shift, a week, and a year.

The most direct evidence we have comes from a peer reviewed study published in Scientific Reports on April 24, 2026. Over six months, a fleet of 10 autonomous mobile robots delivered drugs and specimens at a single tertiary hospital, and the study compared those robots with manual delivery. Robot delivery reduced delivery time by 32% to 36% (p < 0.001), and the 10 robot fleet completed 7.3 times more delivery trips than 19 manual workers over the same six months.

Read those numbers as a reason to measure, not as a verdict on your building. One site, one fleet, and one set of routes do not transfer automatically to another facility.

Where do the staff hours actually go?

Most of the lost time sits in the spaces between destinations. A runner walks, waits for an elevator, hands over a bag, gets interrupted, and walks back. None of those steps appears on a pick list or a shift report, so managers rarely price them.

The hospital study gives one useful anchor. Average manual pharmacy to ward delivery took 31 minutes, plus or minus 6.2, against 21 minutes for robots, plus or minus 4.2. Ward to laboratory took 38 minutes manually, plus or minus 7.2, against 23 minutes for robots, plus or minus 4.6. These are whole route times, not walking speeds, so they carry the full cost of a run.

How do you build a baseline before any robot is considered?

Start with a log, not an estimate. Two weeks of timestamped records will tell you more than any vendor model, and the people doing the runs should keep the log, not a manager reconstructing the day from memory.

Record these fields for every run:

• Origin, destination, and start and stop times, to the minute
• Elevator and door waits, logged separately from walking time
• Handoff delays, such as a specimen waiting at a receiving desk
• Failed or missed runs, with the reason for each
• Staff hours per run, counting full person time rather than trip counts
• Elevator operating rate or congestion at the time of each run

What did the 10 robot study measure beyond speed?

Speed was not the only result. The robot group achieved 100% verification accuracy and item integrity, and its omission rate was significantly lower (p = 0.011). Nurse and patient satisfaction were also significantly higher in the robot group (p < 0.05). Your baseline should therefore track omissions and verification, not only minutes.

The caveats matter as much as the wins. The study is single center. It used an unnamed autonomous mobile robot fleet, so the result describes a class of system rather than one model. It is peer reviewed, but our research found no independent replication yet, so treat it as a strong starting point rather than a settled benchmark.

Why does the first month look worse?

The authors found that the first month averaged about 14% higher delivery time than later months. They state that the system can reach maturity within 4 to 6 weeks after deployment. A pilot judged on its launch week will look worse than it really is.

Build that into the plan. Measure the baseline first, schedule the robot run for at least six weeks, and compare the mature period with the manual baseline rather than the first week of go live.

Where do elevators set the limit?

A separate prospective study at a tertiary hospital analyzed 122 nonurgent missions run from June 18 to 29, 2025, using one commercially available robot platform. Delivery success was about 95.5% while the elevator operating rate stayed below a cutoff near 59.01%. Above that point, failure rose sharply, and the dominant cause was elevator blockage.

For a manager, that is the most practical number in the research. If a route depends on a shared elevator, the elevator's availability belongs in the baseline next to the run times.

What do the economics and other studies add?

The authors of the 10 robot study report that the robot system saved 6.928 million RMB over a 10 year lifecycle, and they describe sensitivity analysis as supporting the economic case. That is a model with its own assumptions. Ask your finance team to rebuild it using your wage rates, your route counts, and your deployment costs.

Other peer reviewed work points the same direction in narrower settings. An observational study of a robotic dispensing system in a retail pharmacy in Brazil found that receiving stock and separating online orders fell 70% and 75% in total time. A systematic review of critical care robots found that 2 of 33 studies covered drug dispensing or delivery robots, and both reported time reductions and higher precision. The evidence base is thin, and that thinness is itself useful information for a buyer.

How does a lease fit once the baseline is in hand?

Once the log shows where the hours go, the decision gets narrower. Service Robot Co. is a full service commercial robot integrator for US businesses. We are OEM neutral, so we choose robots across manufacturers that fit the route, then deploy, integrate, train, and service every unit through a nationwide US engineer network. You work with one partner and one number.

Customers get a robot by lease, not by purchase. We begin with a site assessment that maps the routes, and after that assessment we quote one fixed payment on a three year lease. Go live support and phased deployment let a robot pilot start on a schedule the floor can absorb.

Bring your baseline to that assessment. The routes, the elevator constraints, and the staff hours you logged are the inputs that let an integrator size a fleet rather than guess one.