AI optimisation tool for container packing
Efficient optimisation solver that can pack items into fixed-size containers while minimizing a cost function, e.g. the number of bins required, the surface of the packing etc, whilst adhering to constraints such as preventing items from overlapping, gravity and the need for a physical support, limited rotations, packing stability and weight distribution amongst others. The tool outperforms and scales better than up-to-date optimisation solvers and delivers stable performance even as the problem size increases. The solution uses reinforcement learning to tackle this problem, which is a relatively new method to address problems in this domain.
*Please note that member solutions are often customizable to meet the needs of individual enterprise end users.
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- Best in class performance
Outperforms and scales better than an up-to-date optimization solver
Outperform a sophisticated heuristic, i.e. legos
Stable performance as the problem size increases - strong generalization - Efficiency and Scalability
Efficient Optimization Solver
Knowledge transfer to larger problem instances
Approach applicable to many NP-Hard problems