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.

A silhouette of a truck driver getting into the cab of his commercial Class 8 truck tractor at sunrise.

Practitioner Spotlight – DuPont E&I Logistics Case Study [Webinar]  

Join us on Thursday, July 29, for the inaugural Everstream Analytics Executive Education Series, focusing on informing executives on current risk events and topics in sourcing, procurement, supply chain and logistics. In this webinar, Everstream expert Jon Bovit will share the latest global supply chain risk insights and current market trends, followed by DuPont E&I experts Scot Kessler and Sharri Bowman to discuss supply chain challenges and the solutions that helped them mitigate risk while fulfilling their growth vision.

July 29, 9AM EDT | 3PM CET