How much does warehouse automation cost?

It's the first question anyone considering automation asks. And it's the only one where a quick answer should give you pause: anyone who quotes you a price without asking for your data has given you the wrong price. Either too high, to cover themselves. Or too low, to hook you — and correct it later.

This isn't a dodge. It's the nature of these systems. Here's why.

Capacity doesn't dictate the price. Throughput does.

Take a concrete example: a warehouse with 5,000 pallets, served by autonomous vehicles. How much does it cost?

Impossible to say — because 5,000 pallets is a capacity, and the investment is dictated by throughput: how many pallets move in and out per hour. The same warehouse can run with a single vehicle or with ten, depending on how intensely goods move. The difference in investment between the two scenarios isn't a matter of percentages — it's a multiple.

The right first question isn't "how much do you store," but "how much do you move, at peak."

The second variable: how many SKUs you have

The number of SKUs decides two expensive things.

First, storage technology: a large assortment with fast turnover requires selectivity (direct access to every pallet); few SKUs in high volumes allow maximum density. Different technologies, different costs.

Then — and this is where quick quotes hide the real cost — software complexity. Orchestrating a flow with 50 SKUs versus one with 5,000 are different products: rotation rules, sequencing, prioritization, WMS/ERP integration. The hardware shows up in the quote. The software that makes the hardware work correctly shows up in operation.

The rest of the factors that move the price by orders of magnitude

• Pallet weight and lift height — moving 300 kg pallets is one thing; lifting 1,000 kg to 17 meters is another: different equipment, a different investment class.
• Building height — decides whether you make use of vertical space or pay for horizontal expansion.
• Temperature — refrigerated and frozen environments make equipment more expensive, but that's also where automation delivers the biggest gain (nobody wants people working at -25°C).
• Greenfield or brownfield — a new project is designed with a free hand; an existing facility imposes constraints that cost you in engineering.
• Degree of integration — a standalone automated island costs one thing; an end-to-end flow, from the line to the truck, is a different discussion and a different value.

One principle holds everywhere: the system is sized for the maximum number of missions it needs to cover — the peak, not the average of a quiet day.

The right question isn't "how much does it cost," but "how much does it produce"

A properly sized system is judged on cost per pallet moved, not on purchase price: labor hours saved every shift, errors and returns eliminated, goods that no longer get damaged, space gained without expansion, 24/7 operation without hard-to-staff night shifts. The investment is measured against what it replaces and what it unlocks — not against the budget of the purchase year. And the work schedule matters here: a system running three shifts, around the clock, pays back its investment far faster than one used a single shift a day — simply because it works more hours every calendar day.

How you actually get to a real number

There's only one honest path: your data. How many SKUs, what turnover, what peak throughput, what building constraints, what growth plans. Scenarios get compared through simulation on that data — before a single bolt goes in — and only the simulation tells you whether you need three vehicles or seven, stacker cranes or shuttles, and what return each option delivers.

Does it cost time? A few weeks. But that's the difference between an investment sized correctly the first time and a system you spend years correcting.

Want a real number, for your operation? Start with the data. Request analysis →