AI Tech at UBCO Revolutionizes Port Forecasting
· Source: miragenews.com
In short
A UBC Okanagan research team has developed TrajReducer, an AI system that predicts ship trajectories with high accuracy, improving port efficiency and supply chain resilience. The framework analyzes vessel data like type, size, and speed to forecast arrivals, addressing gaps in traditional methods. This innovation is particularly impactful for Canadian ports, optimizing operations amid global trade disruptions.
Read Original Article — Read the full article on the publisher’s site.
In the issue of week 24, 2025: Agentic AI and Automation Drive Breakthroughs in Supply Chain Efficiency
Tags: logistics, forecasting, automation, maritime, efficiency, trade