Guide angle
Capacity-aware planning helps dispatchers match delivery work to vehicles, drivers, skills, working hours, depots, and route constraints.
What to understand
Capacity inputs
- Item capacity, weight capacity, volume capacity, mission capacity, skills, vehicle type, costs per km/hour, working hours, and start/end points.
Mission demand inputs
- Demand values, service duration, time windows, required skills, and pickup/delivery locations determine which vehicle can realistically handle the work.
Capacity planning pitfalls
- Overloading vehicles, ignoring working hours, missing skill constraints, and skipping route review after optimization can all create bad dispatch outcomes.
Evaluation checklist
Where Rouptimize fits
Rouptimize connects this topic to real route planning, mission management, dispatch, driver mobile workflows, monitoring, proof-code delivery verification, reports, and route-order-credit billing. It should not be described with unsupported claims such as photo proof, customer tracking links, live traffic AI, unrestricted internal API access, guaranteed savings, or predictive analytics. The documented Integration API v1 remains available under its published authentication and scope rules.
FAQ
Why does vehicle capacity matter in route planning?
Stops are not equal. Capacity helps prevent overloading vehicles and makes route plans more realistic for the work being carried.
What constraints should teams model?
Teams should model item, weight, volume, mission limits, skills, working hours, depots, driver availability, and vehicle assignment context.
Turn this guide into a Rouptimize workflow
Use the related docs and tutorials when your team is ready to move from concept to exact product steps.