Common challenges
You are probably notout of space.
The racking looks full, so the lease renewal moves up the agenda. But 'full' is an impression, not a measurement — and almost nobody has actually checked true capacity against what's really sitting in each location today. The fix isn't more square footage. It's measuring the gap between rated capacity and live occupancy first, then reclaiming what's already yours before you sign for more.
See capacity optimisation
Is this your problem?
How to tell a warehouse that's full from one that just looks it.
The two are easy to confuse from the aisle, and expensive to confuse in a lease decision. The measure that actually separates them is true capacity against live occupancy, tracked by zone, aisle and location — set against two numbers everyone already has and neither of them trusts: the rated figure from the original design, and the eyeball estimate from the last walk-round. Where the three disagree is where the real answer lives.
It happens because nothing forces those three numbers to stay in step. The rated figure was fixed when the racking went in and never revisited as pallet profiles, slotting rules and order mix all drifted since. The eyeball estimate reads how full the bay fronts look, not what is actually stored behind them — a location can look packed and be a quarter empty a few feet back, or look tight and be genuinely maxed out. Nobody re-measures either number until the lease conversation forces the question, by which point both are stale in whichever direction is least convenient.
WareBee scores true capacity against live occupancy against a peer set matched on order profile, SKU count and footprint — never a blanket industry figure — so 'we're out of space' becomes a location-by-location answer you can act on before you sign for more of it.
What's actually causing it
Five ways space disappears without anyone taking it.
Each one is measured on your digital twin from data you already generate, so you can see which applies to you before the lease conversation happens.
Cube wasted inside full-looking bays
A bay can look packed at eye level and still be a quarter empty in the cube behind it.
Every location's stored volume is measured against its rated cube and ranked by the gap between them, so the worst offenders surface first instead of hiding inside a site-wide average. A bay that reads 'full' from the aisle is often the one shipping the most air.
Stock scattered across partial locations
The same SKU sits half a pallet deep in a dozen different spots instead of one.
Locations sitting below a useful fill level are flagged and grouped by zone rather than listed one by one, so a single walk clears a run of them instead of a picker crossing the building for each. A scattered location-by-location report becomes a route worth actually walking.
Dead stock in prime positions
Inventory that hasn't moved in months is still sitting in the fastest locations in the building.
Every SKU with no movement across a full lookback window is flagged with the carrying cost it's quietly running and the value of the prime location it occupies. The recommendation is specific — relocate, liquidate or write off — not a generic ageing report someone has to interpret.
Location profiles that don't match what's stored
A pallet built for a deep-lane bay ends up one-high in a shelf sized for cartons.
Storage density is measured against each location's rated cube and profile, not just how full it looks, so a pallet assigned to the wrong bay size shows up the same way a half-empty shelf does. Fixing the mismatch is usually faster than adding racking.
Staging absorbing storage
Pallets waiting to move sit in staging lanes for days and quietly turn into storage.
True capacity and occupancy are measured zone by zone rather than as one site-wide total, so a staging lane running as overflow storage shows up as an occupancy number like any other zone — not as a blind spot the count skips over. What gets counted can be reclaimed instead of just walked past.
Find the space before you sign for more.
WareBee measures true capacity against live occupancy by zone, aisle and location, so 'full' stops being an impression and becomes a number. From there it surfaces exactly where the space is hiding — cube wasted in half-used bays, stock scattered across partial locations, dead inventory sitting in prime positions, location profiles that don't match what's stored.
Because it runs on your digital twin, every consolidation, spread and re-slotting move is simulated first, so you see the capacity it reclaims — and the picking impact — before anyone touches a pallet. Your team approves the plan; the WMS receives the resulting moves as tasks it already understands.
- True capacity vs live occupancy by zone, aisle and location
- Consolidation, spread and re-slotting moves simulated before a pallet moves
- Approved moves reach the WMS as tasks it already understands

Questions
Running out of space, answered.
How much space is typically recoverable?
There isn't a figure that applies to every warehouse, and treating one as though it did would be worse than not answering. WareBee reclaims space through six levers — true capacity and occupancy, storage density, empty and partial locations, consolidation by item or group, spreading similar items apart when needed, and clearing dead stock out of prime locations — and how much each one returns depends entirely on your own stock profile, SKU mix and layout, not an industry average. A warehouse full of dead stock in prime locations recovers space very differently to one whose problem is wasted cube in half-empty bays. The honest way to get your number is a paid pilot run on your own data, where all six levers are measured against what's actually stored today.
What is the difference between rated and true capacity?
Rated capacity is the number set when the racking went in — a nominal slot count based on the original design, not on what's stored today. True capacity is measured continuously from your own data: what's physically sitting in each location, zone by zone and aisle by aisle, reconciled against the rated figure rather than replaced by another estimate. The two drift apart as pallet profiles, slotting rules and order mix change over the years, and by the time someone checks, the gap is usually bigger than anyone expects — which is exactly the space nobody's counting.
How is dead stock identified?
Every SKU with no movement across a full lookback window is flagged automatically, along with the carrying cost it's quietly running and the value of the prime location it's occupying. Rather than handing back a generic ageing report to interpret, WareBee returns a specific recommendation for each one — relocate it to a lower-value location, liquidate it, or write it off — so the prime real estate it's been sitting in gets freed with a decision attached, not just a list to work through.
Will consolidation disrupt picking?
Every consolidation, spread and re-slot move is simulated on the digital twin before it happens, so the picking impact — not just the capacity reclaimed — is visible first. Where similar items or groups need to stay apart to avoid mis-picks or congestion, separation rules are built into the slotting model itself rather than discovered on the floor afterwards. Moves that would cost more in picking than they gain in capacity simply aren't recommended, and the ones that are reach your WMS as tasks it already understands.
Does this need a stock count?
No separate stock count is required first. WareBee builds true capacity and live occupancy from data you already generate — WMS and ERP feeds, scans, or a simple CSV export — and reconciles rated capacity against what's actually sitting in each location continuously, rather than depending on the annual walk-round that goes stale within a week. If a cycle count or physical count is already part of how you operate, it sharpens the picture further, but it isn't a prerequisite for a first answer.
Can I test it before moving anything?
Yes — testing on your own data first is the point, not an afterthought. Start with a paid pilot: layout, stock and order data become your digital twin in under a day, the first analysis of your true capacity and occupancy lands in about an hour, and a full optimisation run finishes in hours rather than weeks. Every consolidation, spread and re-slot move is simulated before it happens, so you see the space reclaimed on your own warehouse before a single pallet moves.