CAVE LAB · PROJECT SHOWCASE
Data-driven container loading plans for a logistics service provider's LCL export business
A logistics service provider in LCL/FCL export and bonded storage faced rising sea-freight costs, container shortages and labour costs — making high container utilisation for heterogeneous LCL cargo a critical challenge.
We analysed current loading operations at an LCL terminal and developed optimisation algorithms and a data-driven tool that build space-efficient loading plans, maximising container utilisation while cutting loading times.
The Container Loading Optimizer turns uploaded cargo data (POs, SKUs, dimensions, weights) into optimised palletisation, containerisation and step-by-step visual loading instructions.
The app generates optimised loading plans in about three seconds, flags SKUs that benefit from box rotation to save space and transport cost, and guides workers on the shop floor across desktop, tablet and mobile.