Stay or Move: How to Decide When the Warehouse Runs Out of Space

What runs out first: space or throughput?

Most warehouses that report being full are not out of pallet positions. They are out of capacity during specific hours of specific days.

Four different ceilings get described with the same sentence, and each one costs a different amount of money to lift:

• Storage capacity. Pallet positions are physically occupied. This is the only version of “full” that a bigger building actually solves.
• Picking throughput. The racks have space, but the pick rate cannot keep up with order volume at peak.
• Dock capacity. Trucks queue because there are not enough doors, or because inbound and outbound compete for the same ones at the same time.
• Staging and dispatch area. Goods flow, but there is nowhere to consolidate them, so completed orders block the aisles.

The distinction matters because three of those four ceilings can be lifted without moving anything. Reslotting fast movers closer to dispatch, resequencing waves, splitting inbound and outbound windows or adding a shift will each buy throughput at a fraction of the cost of a building. Which of them applies is a question of intralogistics and material flow, not of square metres.

Measure the peak hour, not the average. Average utilisation is a comfortable number that hides the problem: a site running at 85 % average occupancy behaves very differently from one at 95 %, because above a certain fill level the time spent searching, re‑handling and shuffling pallets stops growing in a straight line. This is a working rule from operations rather than a published constant, but any warehouse manager who has crossed that threshold recognises it.

When Logio analysed the e‑commerce warehouses of one of France’s largest food retailers, the binding constraint turned out to be picking productivity, not floor space. Moving the operation into a larger building would have relocated the bottleneck without removing it. That is the single most expensive mistake available in this decision.

Four options, and what each one really costs in time

There are four ways out: stay and optimise the operation, stay and automate, expand on the current site, or relocate. They differ far more in lead time than in cost per square metre, and lead time is what actually eliminates options.

Stay and optimise. Weeks to a few months. Process redesign, slotting, wave management, shift patterns. Lowest cost, and the only option still available late.

Stay and automate. Industry lead times for automated storage and retrieval systems typically run 6 to 18 months, and 12 to 24 months for multi‑vendor, high‑bay, cold storage or heavily integrated projects. The equipment installation window itself is only 8 to 16 weeks. What consumes the rest of the schedule is civil works, detailed engineering, fire protection approval and software integration.

Expand on site. Depends entirely on planning permission and on whether the plot and the landlord allow it. In a leased building, the landlord’s willingness to invest usually sets the ceiling, not the engineering.

Relocate. A build‑to‑suit facility runs 15 to 24 months and often longer. The physical move itself freezes fulfilment for days to a couple of weeks, and that estimate assumes the new site is ready when you arrive.

Read those numbers again with a lease expiry in mind. If the decision starts twelve months out, automation and build‑to‑suit are already gone, whatever the business case says. How to build that case, and which costs belong in it, is covered separately in Warehouse Automation ROI.

Why the Czech and Slovak market changed the answer in 2026

The question “is there space available?” has no national answer this year. The gap between locations inside each country is now wider than the gap between the two countries.

In Czechia, vacancy reached 5.5 % in Q2 2026, up 67 basis points year on year, across a total stock of 13.7 million sqm. That national figure describes almost nobody’s actual situation:

• Prague and Central Bohemia: 4.4 % vacancy, prime rent EUR 7.25/sqm/month
• Brno: 1.7 % vacancy, the lowest in the country, prime rent EUR 7.00
• Pilsen: 8.3 % vacancy, prime rent EUR 5.75, down 12 % year on year
• Ostrava: 15.6 % vacancy, prime rent EUR 6.00

Slovakia shows the same split in mirror image. National vacancy hit 7.8 %, the highest in five years, while prime rent held flat at EUR 5.30. Senec, the largest submarket in the country, sits above 11 % vacancy with nothing under construction, and Trnava is close behind at 10.8 %. Meanwhile the Košice area has 1.4 % vacancy and holds 38 % of the entire Slovak construction pipeline, pulled east by automotive suppliers.

The practical consequence is blunt. In Ostrava, Senec or Trnava you are negotiating, and the levers worth pulling are the rent‑free period and the fit‑out contribution rather than the headline rent. In Brno or Košice you are queuing, and the realistic route is a pre‑lease with a long lead time or paying a premium for what already stands. Identical operational requirements produce opposite strategies.

Two further signals are worth reading before you assume the market will accommodate you. Czech net take‑up rose 40 % year on year in Q2 to 248,400 sqm, but pre‑leases dominated it, and only 55 % of newly delivered space was pre‑leased on completion. Demand is strong and it is committing early.

And there is a statistical trap. Industrial reports now count shell and core space, meaning buildings that are structurally complete but handed over without fit‑out, as a separate category. Slovakia currently has 76,400 sqm of it; Colliers counted roughly 360,000 sqm in Czechia as far back as the end of Q1 2024. That space is real supply, but it is not space you can occupy next month, because the fit‑out and its approvals still sit between you and the racking. When an availability figure looks encouraging, ask what is inside it.

The decision window: counting backwards from the lease

Count backwards from the date you need the throughput, not from the date the lease expires. Those are rarely the same day, and the difference is usually the ramp‑up period everyone forgets.

Working back from that date, the option set narrows on a predictable schedule:

• 24 months or more: every route is open, including build‑to‑suit and full automation.
• Around 18 months: build‑to‑suit is effectively gone in most markets. Automation is still feasible if the data and the process are ready today.
• Under 12 months: operational optimisation, partial or modular automation, a short lease extension, or a sublease. Anything requiring civil works is out.
• Under 6 months: you are no longer deciding, you are reacting. The landlord knows it too, which is why renewal terms offered at this point are rarely the best ones available.

The reason so few companies respect this schedule is circular: the decision waits for a budget, and the budget waits for a decision. The way out is to separate the analysis from the commitment. A feasibility study costs a fraction of the investment it informs and can be done a year before anyone has to sign anything, which means the negotiation starts with your numbers rather than the landlord’s proposal.

Where the business case usually breaks

Business cases for this decision rarely fail on the target state. They fail on the transition, and on four recurring errors.

Comparing rent per square metre instead of cost per line picked. Rent is the number on the landlord’s offer, so it becomes the number in the comparison. It is the wrong unit. A cheaper building that adds two kilometres of daily travel per picker is not cheaper.

Omitting transition costs. Overlapping rent on both sites, parallel operation, temporary agency labour, lost productivity during ramp‑up and the near‑certain slip in the go‑live date. These are real cash costs in the year of the move and they routinely exceed the first year of rent savings.

Assuming the labour market travels with you. A site thirty kilometres away can have a completely different availability of warehouse staff, a different wage level and a different commuting radius. The building is easy to model. The people are not.

Sizing for today’s SKU count. Assortment plans change faster than buildings do. A design sized against the current range is obsolete before the concrete cures.

What a properly built case looks like: for the French e‑grocery operation, Logio compared technologies and built the business case around a phased deployment, arriving at a 400 % gain in picking productivity, 20 minutes cut from order lead time through the warehouse, and headroom for up to fivefold capacity growth. For Plzeňský Prazdroj, the same sequence ran from feasibility study through engineering to a fully operational high‑bay facility with 42,000 pallet positions. In both cases the analysis preceded the technology choice, not the other way round.

When not to move, and when not to automate

Neither relocation nor automation is a default, and both can make a situation worse.

Do not relocate when the constraint is the labour market rather than the building. A cheaper site in a thinner labour pool trades a rent line for a staffing problem, and the staffing problem compounds every year.

Do not automate a process you have not stabilised. Automation fixes your layout and your decision rules in steel and software. If today’s operation survives on daily improvisation and manual corrections, automation will encode the improvisation and remove the ability to correct. Master data quality decides whether the investment pays back more reliably than the choice of vendor does.

Do not size for a demand curve you cannot defend. If the case rests on volumes tripling, someone has to own that forecast. Fivefold headroom is valuable when it is a plan and expensive when it is a hope.

There is a fourth case worth naming. If the lease has more than five years to run and the site is otherwise right, the honest answer is often to fix the flow, buy two or three years of throughput, and revisit the building question with better data.

What you need before the decision can be made at all

Without operational data at line level, any calculation will be confidently wrong.

The minimum set:

• 12 to 24 months of order lines, at line level rather than order headers
• a seasonal profile, including the actual peak days rather than the peak month
• SKU movement analysis, typically ABC by volume crossed with XYZ by variability
• dock timestamps for inbound and outbound
• measured pick rates by zone, not planning standards
• the assortment plan for the coming two to three years

With that set, a material flow simulation can compare scenarios before anything is bought, and can answer questions no spreadsheet will: what happens on the third peak day, where the queue forms when one aisle is blocked, how the layout behaves at 120 % of planned volume. Without that set, a simulation produces a precise answer to a question nobody asked.

FAQ

How long before the lease expires should we start deciding?
Start the analysis 24 months before you need the throughput if automation or a new building could be on the table. That is not the same as committing capital; it is knowing which options you still have while you still have them.

Is expanding on the current site cheaper than relocating?
Usually yes on capital, and not always on operations. Expansion preserves the workforce and avoids the move, but it inherits the existing layout, and an extension bolted onto a flow that already does not work tends to multiply the travel distances rather than reduce them.

Can automation be retrofitted into a leased warehouse?
Technically often yes, commercially it depends on the remaining lease term and on who owns the equipment at the end of it. As a rule of thumb, the payback period should sit comfortably inside the remaining lease, and that condition alone eliminates a large share of retrofit cases.

How reliable is a material flow simulation?
As reliable as its inputs. With measured pick rates and real order data it will predict throughput and queueing behaviour well enough to choose between concepts. With planning standards and estimates it will reproduce your assumptions back to you with a confidence they do not deserve.

Where to start

Before the lease negotiation starts, it is worth knowing which ceiling you are actually hitting and which options your timeline still allows. That is what a capacity assessment answers, and it takes weeks rather than months.

Talk to an expert about your warehouse capacity.