Our experienced Data Science team builds valuable predictive and prescriptive models uniquely powered by proprietary operational and risk data.
Our Data Science team represents the foundational skills necessary to build valuable predictive and prescriptive models:
- Industry expertise, to know what problems to solve
- Technological expertise, to know which modeling techniques to use and how to deploy them in a Big Data environment
- Relevant, high-quality data at scale, to model the complex global supply chain
- Trusted clients, to ideate, test, learn, and enhance
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
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.