Data Science

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

Concept augmented analytics. Business analytics and financial technology concept. AI(Artificial Intelligence) and smart analytics. Data science learning machine
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Historical Shipments Analyzed
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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.
GermanSupplyChainLawHB

Webinar

Are you ready for the new German supply chain law?

By 2023, a new law ‘Lieferkettengesetz‘, will come into effect, requiring German companies to ensure that human rights and environmental regulations are respected throughout their supply chains. Join the webinar on Thursday, June 24 at 4 PM CET, to learn about companies’ obligations for their own operations as well as those of their suppliers.

Note: The webinar will be in German language only.