Kubova.
Se connecterCommencer
Blog
Capacity 6 min read

Container Fill-Rate Benchmarks: What Good Utilization Looks Like by Cargo Type

By Kubova Team

Isometric row of three cutaway shipping containers filled to different levels, with a fill-gauge motif

“Is 82% a good fill rate?” is impossible to answer without context — it depends entirely on what you’re shipping. So we measured it: here are real container utilization benchmarks by cargo profile, straight from our packing engine, and how to read your own number against them.

Short answer: “Good” volume use for a light load is roughly the high-80s to low-90s for well-proportioned or well-mixed cargo, dropping toward the high-70s for cubes and awkward ratios. Engine-measured in a 40 HC: mixed 3-SKU ~93%, a 50×40×30 cm carton ~90%, an 80×60×50 cm carton ~90%, a 40 cm cube only ~76%. 100% is not a target — it’s a red flag.

The benchmark

We loaded a single 40 HC to capacity for four cargo profiles (light unit weights, to isolate the volume question). Each figure is a direct engine output.

Cargo profileVolume used
Mixed 3-SKU (60×40×30, 50×50×50, 40×30×20)93.1%
Uniform 50 × 40 × 30 cm carton90.4%
Uniform 80 × 60 × 50 cm carton89.7%
Uniform 40 × 40 × 40 cm cube75.5%
Single 40 HC loaded to capacity, Kubova packing engine, measured 2026-06-08.
93%
best — a well-mixed load
~90%
typical good single carton
76%
an awkward cube

Why the spread is so wide

The 17-point gap between a mixed load and a cube isn’t noise — it’s geometry:

The single-SKU penalty
Loading one product type at a time forfeits the interlocking advantage. If your orders are multi-SKU but your tool only handles one carton, you’re benchmarking against the wrong ceiling — and likely booking more space than you need. (More on this in mixed-SKU loading.)

How to read your own number

When weight caps you below a 'good' fill
On dense cargo you may stop loading at, say, 60% volume because you’ve hit the payload limit — and that’s correct, not a low score. A 40 HC fills on weight above roughly 375 kg per cubic metre of cargo. Always read fill rate alongside weight.

The honest part

It would be easy to report a flattering number by quietly stretching the container’s dimensions. We don’t — the fill rates above are what the engine actually achieves inside real inner dimensions. A benchmark is only useful if it’s honest.

Measure your real fill rate

Enter your cargo and container — see the honest utilization in seconds.

Open the calculator

Related reading

Frequently asked questions

What is a good container utilization rate?

For light cargo, a well-proportioned single carton typically reaches the high-80s to low-90s in volume use, and a well-mixed multi-SKU load can reach the low-90s. Cubes and awkward ratios drag it down toward the high-70s. In our engine runs a mixed 3-SKU load hit ~93%, a 50×40×30 cm carton ~90%, and a 40 cm cube only ~76%. Anything claiming ~100% is either ignoring real geometry or overflowing the container.

Why can’t a container reach 100% fill?

Boxes are rigid and can only sit in a few orientations, so they leave gaps wherever their dimensions don’t tile the space exactly — plus the door column and weight limits cap real loads. 100% would require cargo to behave like a liquid. A tool reporting 100% is a warning sign, not a feature.

Why does mixing SKUs improve fill?

Smaller cartons can fill the gaps that a single larger carton leaves. In our runs the mixed 3-SKU load reached the highest fill (~93%) precisely because the different sizes interlocked. A single-SKU calculator can’t see this advantage.

How do I measure my own fill rate?

Divide the total cargo volume you actually loaded by the container’s inner volume (a 40 HC is about 76 m³). Compare against the benchmarks here: near the high-80s/low-90s is good; below the high-70s suggests an awkward carton, too much single-SKU loading, or a weight cap you’re hitting first.

Who: Written and reviewed by the Kubova team, who build and operate the packing engine described here.

How: Drafted with AI assistance for research and structure; the technical claims, examples and product details are owned and verified by the team.

Why: To help logistics and engineering teams decide whether to let an AI agent plan their loads — not to chase a keyword. Published 2026-06-08.