Predict shipment risk and save millions

Cold Chain Logistics

Delivery delays due to extreme weather conditions

Predict transportation risk two weeks in advance

Don't let disruption stop delivery

Everstream combines AI predictions, historical lane calendar modeling, forecasting temperature data, with expert human analysis, to dynamically assess and predict risk along each lane. By combining the expertise of our industry-leading meteorologists with state of the art  machine learning, we predict the conditions for each shipment up to two weeks in advance, giving you time to adjust equipment selection and save money if the temperature is unseasonably warm – and arrive on time. 

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Automate refrigerated equipment selections

Risk insights power better system decisions

This winter season will see an extraordinary squeeze on cold chain capacity so the need to use temperature protection only when necessary is greater than ever. Based on shipment risk/location/AI…. we help tell your systems to pick the better option for each shipment. Only spend more for heat or cold-protect equipment when it’s necessary. 

In-house weather expertise

Everstream Applied Meteorologists...

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"Time saved, product saved, real ROI... Since implementing Everstream, we have had zero frozen loads."

Transportation Manager & Business Process Lead

Delivery delays due to extreme weather conditions

Explore our solutions

Resources and insights

Cold-proofing food supply chain technology for Ca...

Improving food logistics, Campbell’s Soup transitioned from paper tracking to digital updates, resulting in no frozen loads for three years.

Modernizing transportation risk management to mee...

Weather events and climate disasters have wreaked havoc on the United States and beyond since the beginning of time, but the increasing frequency and severity of these events are alarming.

According to the U.S. Department of Transportation Federal Highway Administration, transportation risks can be internal or external and both can impact performance and assets.

Ready for a smarter supply chain?

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