Chris Pickett

Greater Chicago Area Contact Info
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+25 years of commercial experience operating at the intersection of global supply chain…

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  • Flock Freight

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  • Navigating the US Truckload Capacity Cycle: Where are Freight Rates Headed and Why?

    Journal of Supply Chain Management, Logistics & Procurement

    The US Truckload Transportation Market, like many markets, can be characterized as an ongoing rebalancing between supply and demand – or in this case, the number of trucks (and drivers) to haul goods and the demand for those trucks to meet current market demand. This creates a cycle that swings from relative capacity shortage, where there is more demand relative to supply which drives market rates higher, to relative capacity surplus, where there is more supply available relative to demand…

    The US Truckload Transportation Market, like many markets, can be characterized as an ongoing rebalancing between supply and demand – or in this case, the number of trucks (and drivers) to haul goods and the demand for those trucks to meet current market demand. This creates a cycle that swings from relative capacity shortage, where there is more demand relative to supply which drives market rates higher, to relative capacity surplus, where there is more supply available relative to demand which drives rates lower. The term “relative” is an important one as the simultaneous rate of change on both sides of the marketplace ultimately drives market rate activity.

    But as this article describes, the simultaneous rates of change in supply and demand are rarely in a state of relative equilibrium. It is this dynamic that creates a recurring pricing cycle observed to display at least some level of consistency and can therefore be used to predict the future – but only if you understand the past and the present. In other words, the US Truckload Market operates as a machine with certain mechanical properties that tend to produce similar outputs given similar inputs. The real world is governed by economic and geopolitical uncertainty, shifting technology and regulatory landscapes, and human psychology that often drives irrational behavior, so those mechanical properties and input signals can be exceedingly difficult to separate from the noise. However, with enough historical transaction data, market visibility, and insight, I propose that it can be done; the past can be used to predict the future with at least some level of directional certainty, so long as the fundamental structure of the marketplace remains intact.

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  • Strategies for Maximizing Supply Chain Resilience: Learning from the Past to Prepare for the Future

    Massachusetts Institute of Technology

    MIT M.Eng. degree thesis, advised by Dr. Yossi Sheffi

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