Data Science

Our experienced Data Science team builds valuable predictive and prescriptive models uniquely powered by proprietary operational and risk data.

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Our Data Science team represents the foundational skills necessary to build valuable predictive and prescriptive models:

We bring these skills together with billions of proprietary data points to build models that:

Support logistics and procurement use cases
Analyze risk to optimize the ability of our clients to source, make and deliver
Are used during both planning and execution
Support logistics and procurement use cases
Analyze risk to optimize the ability of our clients to source, make and deliver
Are used during both planning and execution

We bring these skills together with billions of proprietary data points to build models that:

Accurate Risk Models for On-time Arrivals, Forecasts and Delays

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.

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[Webinar] Record Level Shipping Costs Intensify Supply Chain Stakes – Part 1

A crisis of long-term rising shipping costs will likely hit cargo shippers ranging from food and beverage companies to retailers and automakers as they strive to meet high customer demand or replenish inventory levels ahead of the year-end holidays. Register for our upcoming webinar today to learn how to mitigate risks and save on costs.