6 cost levers

Carriers know that bunker is 50–60% of total operating cost — but the data needed to act on it sits in five systems, and the analysis is done in spreadsheets weeks after the event.

• Bunker decisions made on the last quoted price, not the full picture of futures (NYMEX, IPE) plus spot Rotterdam / Singapore.
• Port-call sequencing chosen on routine, not on historical congestion data — overtime and anchorage charges compounded on the wrong day of the week.
• Cargo demand forecasting done lane-by-lane in Excel; no port-pair-level forward view to drive vessel deployment.
• Equipment repair quotes accepted at face value because nobody had time to compare against historical depot data.

Deployed SEDGE — Solverminds' cloud-based AI analytics platform — targeted at six operational cost areas where AI delivers measurable savings.

• Port cost reduction — avoid expensive weekend overtime and anchorage charges via historical congestion data.
• Bunker hedging — model crude / petroleum futures alongside spot Rotterdam and Singapore on one screen.
• Asset deployment — predictive algorithms across seasonal port constraints, weather, tidal patterns, surplus / deficit scenarios.
• Cargo demand forecasting — LSTM deep-learning across port-pair combinations, weekly granularity.
• Box repair costs — regression model against historical depot data, used as a negotiation platform.
• Intermodal logistics — landside congestion and cost-fluctuation analysis across ports, rail, road.

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