Case Study: a leading maritime company improves voyage profitability with Nautilus Labs Dynamic Speed Optimization

Improve Voyage Economics And Increase Profitability

A leading maritime company was facing increasing pressure from rising fuel costs and new environmental regulations, which created uncertainty in voyage economics. They needed an innovative solution to optimize fleetwide fuel consumption and improve profitability, moving beyond the simplistic assumptions and suboptimal speed instructions they previously relied on. To address this, they turned to Nautilus Labs and its Dynamic Speed Optimization (DSO) product.

Nautilus Labs implemented its DSO tool, which uses machine learning models powered by real-time vessel data to predict fuel consumption and speed with high accuracy. The solution provided dynamic RPM or speed instructions designed to maximize a vessel's Time Charter Equivalent (TCE) profit. The results were significant; on one voyage, the tool identified a strategy that saved 10 metric tons of fuel. On another transatlantic voyage, Nautilus Labs' solution increased the daily TCE rate by $250, generating an additional $8,225 in profit for that single trip by optimizing speed to get the vessel back into the spot market faster.