FLEXPORT‘s Andrew Sturges writes:
In a previous post we outlined the basics of supply and demand in the world of air freight forwarding, and described the difficult problem of air cargo consolidation. In this post we’ll look at how Flexport uses math and data science to solve this problem and get shipments delivered on time at their lowest possible cost.
Consider a toy scenario where a freight forwarder has ten shipments, a …
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Source: The Loadstar