Development of an Intelligent Freight Forecasting Model for Optimized Vessel Chartering and Bulk Cargo Procurement from overseas to East Coast of India

Source summary

The freight model should help bulk-cargo procurers serving India's East Coast move from repeated spot bookings to short- or medium-term multiple-voyage charters. It should forecast rates and market-entry windows, recommend vessel classes and manage idle-positioning risk using trade, economic, seasonal and congestion data. Loading and discharge port constraints, including draft, vessel length, beam and cargo-handling capacity, must inform recommendations. Machine learning and AI are possible methods, not mandatory exclusive approaches.