The pressure to automate is real. Labor costs are rising; lead times are tightening, and more automated guided vehicle (AGV) vendors than ever competing for your attention.

So companies start asking the question: Should we automate? But the question they should be asking first is: Can we?

Roughly 30% of existing intralogistics processes are actually candidates for AGV automation. While the cost data is compelling on paper, most existing facilities weren’t built with automation in mind, and retrofitting them is harder and more expensive than most operators expect.

Getting Physically Ready

AGVs require space. They need consistent lane widths, wide corners to navigate safely, and buffer zones around high-traffic crossings. A skilled forklift driver can squeeze through a tight aisle and honk his way past foot traffic, but an AGV can’t. If a person or object crosses its path, it stops. If it stops constantly, your throughput goes down..

For most facilities built in the 1960s and ‘70s, the answer to the automation question has to be no. The aisles are too narrow, the corners too sharp, and the traffic patterns too dense. You could technically make changes, but moving machinery, reconfiguring conveyor belts and rebuilding the layout often costs more than the automation itself saves.

Before you talk to a single vendor, ask yourself these four questions:

• Are my aisles wide enough for AGVs, with safety clearance on both sides?
• Do my intersections have room to separate AGV lanes from manual traffic?
• Are there areas with predictable, repetitive movement patterns, or is everything mixed?
• Can we designate specific zones for AGV travel, or would they be competing with forklifts and people everywhere?

AGVs Thrive on Repetition

The economics of AGV automation depend heavily on how much your process repeats itself.

AGV manufacturers calculate viability at a granular level. They model the distance of every drive cycle in meters, the number of picks and drops per shift, the throughput per hour, and the units required to match current capacity. For operations running three shifts, six days a week, with continuous pallet movement, the math tends to work quickly. For a single-shift operation moving a few loads a day, the return period can stretch to a decade or more.

The best candidates for automation are boring, repetitive moves: loading from receiving to staging, feeding production lines, moving finished goods to a warehouse buffer, on the sasme routes, hundreds of times a day. That’s where AGVs shine.

Variable, low-volume, or highly reactive tasks are a different story. If your drivers are constantly adapting to changing priorities, reacting to exceptions or navigating unpredictable environments, a human is still the better tool.

The Cost of Change

Companies look at the AGV equipment cost and compare it to their cost of labor. That math usually favors automation, but equipment is only part of the picture. You also have to factor in layout modifications, software integration, project management, testing and the 12 to 18 months of capital outlay that happens before the system ever goes live.

AGV projects are long-cycle integration projects. The manufacturer visits your site, maps your processes, models the flow and builds a proposal. Then there’s a test phase, a ramp-up period, software tuning, and a formal acceptance before the system is handed over. From the moment you place an order to the day the system is fully live, a year is common. Eighteen months isn’t unusual.

When you account for all of that, the cost of change for some facilities exceeds the savings the AGVs would generate. Or the return on investment stretches so far out that by the time you break even, the technology needs to be refreshed. That is a real outcome, not a hypothetical. I’ve seen projects that made sense on paper but could not survive honest contact with the full cost picture.

None of this means AGVs are a bad investment. When the conditions are right, the economics are clear.

A 2024 study conducted in partnership with the Technical University of Munich and CHG-Meridian modeled a representative scenario: six manual electric high-lift trucks replaced by 12 AGVs for the same transport task, running two shifts over a 10-year period. The cumulative cost advantage favored AGVs from the first year of operation. Total savings over the period came to approximately €3.6 million (US$4.23 million), roughly 50% of total costs compared to manual operation.

The driver was personnel costs. Manual trucks required one operator per truck per shift, at roughly €55,000 ($64,700 USD) per person including benefits. The AGV fleet required the equivalent of one part-time supervisor at the control station. That gap compounds significantly over time.

The study also notes that results like this are scenario-specific. A single-shift, lower-volume operation produces a smaller gap. A three-shift operation produces a larger one. The principle holds: The more repetitive movement you have, the faster the economics work in your favor.

The Bigger Financial Picture

Once you’ve run the full cost-of-change math, how you finance the investment is a separate question worth thinking through carefully.

AGV technology is moving fast. A system that was leading edge five years ago has already been outpaced. How you structure the investment affects how much flexibility you have to upgrade or transition when better technology becomes available. Owning a multi-million-dollar fleet outright can limit your options in ways that are hard to anticipate at the time of purchase.

There’s no single right answer. Some operators purchase, some lease and some finance through third parties. The decision depends on your balance sheet, your appetite for technology risk and how long you expect the specific system to remain the right fit for your operation.

Walk any major materials handling trade show and you’ll see dozens of AGV vendors, each with a compelling demo and an optimistic ROI calculator. The technology is impressive, and the momentum is real. But there’s a ceiling, and it’s closer than the marketing suggests.

The reasons are structural. Narrow aisles, high mixed traffic, the cost of layout change, budget constraints and, in some cases, labor relations, all act as real brakes on adoption.

Many new facilities being built today are incorporating AGV-ready design from the start. That’s the future, but for existing operations, the honest ceiling is somewhere around 30% of intralogistics processes in a typical facility.

Facilities need to pursue automation clearly. Start with a rigorous process audit. Identify the highest-volume, most repetitive movements. Run the full cost-of-change math, not just the equipment comparison. And approach financing with the same discipline you would bring to any major operational investment.

The companies getting it right are the ones that are precise about where it actually makes sense, and where it doesn’t.

Philip Rosenmüller is head of fleet management and consulting at CHG-Meridian.