There’s no question that the U.S. truckload market is complex, chaotic, and uncertain. Its continual ebb and flow can make supply chain operations difficult for shippers, carriers, and their transportation partners. These market fluctuations—driven by supply and demand—yield a predictable pattern that, when accurately forecasted, can better protect a company’s bottom line. The more we can understand all these variables at play, the better prepared we will be when it comes to supply chain planning for the future.
To assist in that planning, Coyote Logistics created a data-driven forecasting model that breaks down the specific patterns—three cycles, to be exact—within the truckload market. Enter, The Coyote Curve. By comparing years of Coyote’s proprietary historical transactional truckload data with specific industry indicators, Coyote found there was an order to the chaos of the complex market. Simply put, looking into the past can help predict the future.
At its core, The Coyote Curve offers shippers and carriers the ability to better forecast future market patterns, so they can preemptively plan for—or at least mitigate—potential disruptions across supply chain operations.
With a strategic view of the market and knowledge for the future, the Coyote Curve goes beyond basic forecasting to help shippers and carriers configure their most informed logistics decisions possible.
If you’re interested in learning more about the three cycle, The Coyote Curve and how you can start to navigate the patterns to optimize your supply chain operations, download the full whitepaper now.