Industrial charterers can tap into Seaber's advanced scheduling
algorithms to optimize cargo transportation, reduce freight costs and emissions and eliminate schedule inefficiencies.
Supercharge shipment planning and scheduling activities with
Seaber'smarket-leading algorithms.
Increase your process efficiency
with centralized workflows, automation and advanced planning tunctionality to improve on-time delivery performance.
Schedule shipments based on
your requirements and contract options (T/C,CoAorSpot).
Switch from reactive to proactive schedule management with a real-time view of your shipments (contract-driven planning).
Extend your planning horizon and optimize your schedule based on your unique set of KPIs.
Intgrate with your existing systems to support frictionless and holistic schedule management.
Upload shipment details automatically via third-party integration (ERP, Terminal Planning Software, ETRM, VMS, etc.) or manual input.
Quickly evaluate options from multiple perspectives and optimize
based on current T/C vessel positioning, available capacity on C o voyages, and market vessels.
Drag and drop shipments from your book to the vessel list, move cargoes and even parcels between available vessels.
Employ Seaber's scheduling algorithms to optimally utilize tonnage across T/C and CoA agreements, significantly reducing your freight cost.
Create multiple scenarios and side-by-side comparisons until you find the ideal combination, for any given moment.
Compare the proposed scenario with the current shipment plan and commit to the master plan.
Evaluation over a 3-month period to determine the financial effect optimized scheduling could provide, resulting in 5% cost savings.
Reduced total cost per tonne-mile by selecting vessels from the owned/TC fleet with lower daily costs and bunker consumptions
Higher vessel fil rate
utilization with more cargo carried in same time frame
resulting ni reduced costs
Improved efficiency due to better vovage planning and port rotation, meaning fewer days at seaa n d reduced daily costs
Case study potential for shipping division.
