Bearing AI has unveiled its AI-powered Cargo Prediction tool to empower tramp chartering managers to outperform competitors in the high-stakes spot market.
Users will be able to accurately predict a vessel’s next loading port, driving more competitive pricing and superior strategic positioning.
Bearing AI’s Cargo Prediction aims to replace the standard return route backhaul in TCE calculations with an AI-powered prediction of the next loading port, enabling chartering managers to bid more competitively and retain more profits.
With Cargo Prediction, chartering managers can reportedly win more bids by predicting the next loading port, maximise TCE by reducing ballast voyages and improving backhaul strategies, and optimise vessel positioning to capture new opportunities and handle demand spikes globally.
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“With AI-powered Cargo Prediction, we’re giving chartering managers new insights to outmanoeuvre the competition and make every voyage more profitable,” said Aleksandar-Saša Milaković, Senior Product Manager and Naval Architect at Bearing AI.
“It’s not just about winning the next bid, t’s about seeing what’s ahead, positioning strategically, and unlocking the full earning potential of every vessel.”
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Bearing’s AI-powered solution forecasts cargo demand for vessels and highlights optimal locations to secure the next load. Its features include one-click demand forecasts, providing regional and time-specific data compared against historical averages and seasonal trends.
A colour-coded global map visualises demand fluctuations, while region-specific insights help reduce ballast by identifying nearby opportunities.
The tool also integrates with TCE calculators, enabling more precise calculations based on the next loading port, and improving bid competitiveness.
Earlier this March, Bearing AI updated its Fleet Deployment Optimizer (FDO) solution that promises to revolutionise how shipping companies manage emissions.
