Scenario Planning: Businesses can do various what-if analyses with different constraints as per evolving situations.
Intelligent Packing: Both volumetric and weight-based packing can be done depending on the dimensions and weight of SKUs. In case there are constraints like some SKUs have to be placed only at the top or the front side, the scenario can be modeled to present the most optimal packing of the container.
Reduce Operating Costs: With the Container Load Optimizer, there is no trial and error when it comes to packing. Using genetic algorithms, it always gives feasible and optimal packing solutions that can be executed without any time delay or rework, thereby reducing operating costs significantly.