Our risk models are trained on tens of millions of shipments across thousands of carriers and shippers, combining 10 years of historical weather forecasting data in a true Big Data environment. To help you Get in Front of What’s Ahead, the models generate the likelihood of on-time arrivals and provide a new forecast. Plus, if it is outside of a certain tolerance, our models will indicate the top three reasons for the delay.
Our Data Science team helps you Get in Front Of What’s Ahead with models that anticipate network and shipment risk weeks in advance, seeing well beyond Tier-1 suppliers.