UW Supply Chain Transportation & Logistics (SCTL)

ShipsterGPT, a Custom GPT Developed for Global Logistics Professionals.

Shipster GPT-40 is an AI‑powered assistant designed to streamline global freight and logistics analysis. Developed by Aaron Armstrong, a graduate of the University of Washington’s Master Supply Chain, Transportation, and Logistics (SCTL) program, the tool leverages the program’s cutting‑edge research and faculty expertise to deliver data‑driven insights across ocean, air, rail, and road transport modes. The platform draws from trusted industry publications, government databases, and academic research, cross‑referencing multiple sources to ensure accuracy. It not only aggregates volumes, trade patterns, and fleet compositions but also generates strategic recommendations, visual trend identification, and risk assessments. Users can request charts, graphs, or CSV files, and the system supplies citations—including report titles, dates, and URLs—to verify data provenance. A live demonstration shows an analyst querying Maersk’s fleet composition, receiving a detailed breakdown of 330 container vessels and upcoming methanol ships, followed by route usage insights for Asia‑Pacific and Trans‑Pacific lanes. The interface follows the familiar ChatGPT‑4 layout, emphasizing precise prompting and chain‑of‑thought techniques to refine results. For logistics professionals, Shipster GPT promises faster, more reliable decision‑making, enabling optimized routing, regulatory compliance, and competitive benchmarking. Its academic backing and real‑time analytics position it as a strategic asset in an industry increasingly reliant on AI for operational efficiency and market intelligence.