Model the real logistics decision
We capture depots, vehicles, service windows, capacity, priorities, penalties, geography, workload and other constraints that determine whether a theoretical solution is operationally feasible.
SC-Analytics · Services
Logistics optimization for cost, capacity and service trade-offs
SC-Analytics applies optimisation, simulation and analytics to logistics decisions where cost, capacity, service levels and operational constraints interact. The model is designed around how the operation actually works.
Optimise the trade-off that matters
The objective may combine distance, labour, fleet utilisation, lateness, service level or other business costs. We make those trade-offs explicit rather than hiding them inside a black-box score.
Integrate into dispatch and planning
Solutions can support daily routing, tactical capacity planning, network design or scenario analysis. Outputs are delivered in a form planners can inspect, override when necessary and reuse.
Have a logistics decision with too many moving parts?
We can translate the operational rules into a model and test whether optimisation can create enough measurable value to justify implementation.