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.
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 risk, 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.
"Time saved, product saved, real ROI... Since implementing Everstream, we have had zero frozen loads."
Transportation Manager & Business Process Lead
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Resources and insights
Improving food logistics, Campbell’s Soup transitioned from paper tracking to digital updates, resulting in no frozen loads for three years.
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.
What to know about an effective transportation risk management solution that mitigates risk by providing visibility into all current and potential disruptions.