Why 3D Packing Logic Is Harder Than Most Developers Think

Fazeel Khalid — Thu, 07 May 2026 12:35:35 +0000

Most developers underestimate how annoying 3D packing logic actually is until they try building it.

At first it sounds simple:

“Just fit products into boxes.”

Then suddenly you’re dealing with:

rotations
weight limits
stacking rules
utilization %
multiple box sizes
container loading
item coordinates
upright-only products

I was recently testing different approaches for cartonization and load optimization and realized why most companies avoid building this in-house.

Even basic scenarios get complicated fast.

For example:

Which box creates the least wasted space?
How do you split 200 products across pallets?
What’s the most efficient truck/container arrangement?
Which items should rotate and which shouldn’t?

I ended up playing with a few APIs and visualization tools to understand how others solve this problem.

One I tested was P4P, mainly because it gives actual coordinate-based placement results and visual packing output instead of just “fits / doesn’t fit.”

Seeing real placement logic visually makes debugging way easier.

Curious how others here handle this stuff.

Do you build packing logic internally, use heuristics, or rely on external optimization APIs?

DEV Community: Fazeel Khalid

Why 3D Packing Logic Is Harder Than Most Developers Think