AGV and AMR in the Warehouse: When Driverless Transport Pays Off

Driverless transport systems pay off in a warehouse when many uniform transports run over fixed routes across several shifts and the operation owns the vehicles organisationally from day one. Utilisation decides the case: the same fleet that needs years to pay back on a single shift can reach break-even quickly on several.

This article explains the difference between an AGV and an AMR, gives you a payback calculation for the business case and sets out the criteria for choosing the right technology. It is written for managing directors and plant managers who must decide on an investment and need reliable figures from their own operation to do so.

What is the difference between an AGV and an AMR?

An AGV (automated guided vehicle) follows a predefined track, whereas an AMR (autonomous mobile robot) plans its own route and steers around obstacles. German practice uses the umbrella term Fahrerlose Transportsysteme, or FTS, for both groups. The guideline VDI 2510 describes an FTS as a complete system of vehicles, a control system, equipment for position detection and data transmission, and the supporting infrastructure.

Classic AGVs orient themselves by magnetic tape, inductive loops in the floor or reflectors, and therefore run on fixed, repeatable routes. Their behaviour is easy to predict, but any change of route requires construction work. AMRs navigate with laser scanners and cameras against a map of the hall. They take a detour when a pallet blocks an aisle and can be set to new routes through software. The complexity then sits in the control layer and in protecting people who move among the vehicles. The safety requirements for driverless industrial trucks are set out in the standard ISO 3691-4.

In practice the boundary between the two groups is fluid, because many manufacturers offer vehicles that handle both navigation modes. Two questions settle your choice: how stable are your transport relations, and how often does your layout change?

How large is the market, and why is everyone talking about it?

The market is growing because warehouses face labour shortages and rising throughput demands. In October 2023 the International Federation of Robotics (IFR) reported that around 158,000 professional service robots were sold worldwide in 2022, an increase of 48 per cent. The largest application group within that figure is transport and logistics, with more than 86,000 units and growth of 44 per cent. The federation names staff shortages as an important driver.

For a single operation this number says little about its own economics, but it shows maturity: many suppliers, proven technology, competitors who use it. The pressure to do something with autonomous vehicles is therefore real, and it calls for a calculation before the purchase order.

When does a driverless transport system pay off in a warehouse?

A driverless transport system pays off when three conditions coincide: a high and stable transport volume, several operating hours per day and a process that can be standardised. If one of the three is missing, payback moves out considerably.

Transport volume determines the number of vehicles and therefore the investment. Operating hours determine over how many hours the fixed costs are spread, since a vehicle on a multi-shift pattern replaces working hours in every shift while being paid for once. Standardisation determines whether the vehicle may run at all: pallets of uniform dimensions, defined handover points, clear aisles and a warehouse management system that triggers transport orders reliably.

As a rule of thumb for a first screening: below one full-time position of pure transport work in the area under review, an FTS rarely pays back. Between one and three positions on a single shift, the quality of your process data decides. From three positions, or with multi-shift operation, the full calculation is worth doing in every case.

How do you calculate the business case for AGV and AMR?

You calculate the business case from the annual net saving and the total investment: payback period equals investment divided by annual saving less running costs. Such a calculation is only as good as its inputs, so every figure should come from your own operation.

1. Record transport performance: count trips per route, loads and waiting times over four weeks. Without this baseline, any fleet size is a guess.
2. Set the labour costs: value the hours that genuinely fall away at the fully loaded cost rate. Hours that are merely spread across several people without freeing a position do not count as savings.
3. Capture the full investment: vehicles, the fleet control system, the interface to the warehouse management system or ERP, charging infrastructure, building adjustments, safety technology, commissioning and training.
4. Include running costs: maintenance, software, energy, spare parts and the care of the fleet by your own staff.
5. Model the risk: run a scenario in which the vehicles initially reach 70 per cent of planned performance.

The following example shows the mechanics. All values are assumptions for illustration and are not market prices.

The example shows why the shift model dominates the calculation. The vehicles cost the same in both columns, yet payback differs by more than a factor of two. If the vehicles initially reach only 70 per cent of planned performance, the saving falls accordingly while running costs stay the same, and payback lengthens to about 5.5 years on one shift and about 2.2 years on two. Never plan with the average performance in the manufacturer's data sheet. Plan with the performance in your peak hour and in your quietest shift.

How do you choose between AGV and AMR?

You choose by the stability of your routes, the density of foot traffic and the pace at which your layout changes. The table sorts the criteria.

If most of the transport volume runs on a few fixed routes, the classic approach is usually the more robust choice. If your routes change every week or staff share the aisles with the vehicles, AMRs have the stronger case. Many operations start with a single line and extend only once that line runs reliably in steady state.

Why do rollouts of driverless transport systems fail?

Rollouts mostly fail on process, data and ownership. Four patterns recur.

The first is a calculation based on saved hours that never disappear as a position. The second is a pilot in ideal conditions, on clear routes with clean pallets, whose result does not repeat in daily operation. The third is the interface to the warehouse management system, which is clarified only after the vehicles have been ordered and then delays the start date. The fourth is a missing operating organisation: who resolves a fault, who maintains the map, who releases new routes? Without named owners the vehicles stand still at the first disruption, and the workforce returns to the old process.

The acceptance of employees also belongs in the calculation. When truck drivers receive new tasks in the shift, an announced loss of work becomes a redistribution, and that redistribution must be planned before the start.

Business case and rollout with Niehues Consulting

Niehues Consulting is a consultancy for AI management and organisational design from a delivery perspective, based in Düsseldorf. Founder Marin Niehues builds organisations that deliver and brings new technology into operations, in projects from VC-funded scale-ups to DAX 40 groups and in more than 20 countries on six continents. Introducing a driverless transport system is a delivery project with a technical core: building and integrating the vehicles is the work of manufacturers and system integrators. The work of Niehues Consulting lies in the business case, the rollout and delivery management, which is where it is decided whether an investment arrives in daily operations.

The approach follows the Niehues Delivery Model, with its phases of understanding, building and rolling out. Three of its test questions matter most for an FTS project: What is the baseline, and how do we measure success? Is the business case confirmed with real values? Who is accountable for operations from day one? For a general view of robotics economics, see Robotics in mid-sized companies, and for the interplay with people in the work area, read Cobots: collaborative robots working next to people. Scope and terms of an engagement are discussed in the free initial consultation, which you can arrange in 30 minutes through the contact form.