Container packing and load planning is a highly constrained optimisation problem. It’s not just a matter of “fitting things in” — every load must account for:
🔹 Dimensional fit
🔹 Weight distribution and balance
🔹 Floor-loading requirements
🔹 Fragile items and stacking constraints
🔹 Allowable orientations
🔹 Loading/unloading constraints
Our algorithms also handle mixed geometries (e.g., boxes and cylinders) and reflect how items actually behave in practice. For example, horizontal cylinders naturally settle into triangular patterns, alternating between even and odd rows. This structural behaviour significantly affects packing density — especially with larger diameters — and must be modelled accurately to maximise utilisation.
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If you’re in logistics, transport, or manufacturing and looking to reduce cost while maintaining safety and compliance, we’d be happy to discuss how this applies to your operations.
