Transforming the river industry into a culture of data-driven decision-making.
A state-of-the-art information-sharing solution developed for the U.S. inland waterways. Using predictive analytics tools, machine learning and data visualization, the River Information Services Enterprise (RISE) is transforming the river industry into a culture of data-driven decision-making.
By applying mathematical models to data from disparate sources we can build data assets that forecast future events. With RISE, we’ve created an AI-enabled capability that collects and analyzes relevant navigation information to generate better navigation predictions, forecast river traffic congestion and optimize tow configurations—all improving the voyage planning process that transports our nation’s commodities throughout the U.S. inland waterways. Using machine learning, deep learning and data visualization, we are transforming the river industry into a culture of data-driven decision-making.
At TRABUS, we use prescriptive analytics and decision support systems to help clients gain insight from their business data to optimize resources allocation—man, machine and treasure. We blend data science and prescriptive analytics to make complex decisions not so complex anymore. For RISE, our resource optimization calculations have resulted in improved cargo vessel load optimization, better machine maintenance planning and optimal commodity intermodal transportation decision-making.