What-if model for volume growth, routing, and delivery time
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Logistics what-if

What-if model for volume growth, routing, and delivery time

A separate model helped teams test order growth and route changes in advance: whether vehicles, warehouse capacity, staff, and route throughput were enough, where delays would appear, and how they would affect SLA.

Overview

Testing volume growth before operational expansion

The team analyzed what would happen if order volume grew by 20%, 50%, or 100%: whether vehicles, warehouse capacity, staff, and route throughput would be sufficient.

Analysis type: what-if simulation, capacity planning, stress test. The company understood where the system would break during growth and which resources were needed to expand the warehouse, fleet, or team.

20% / 50% / 100% Capacity planning Route simulation SLA impact analysis

What-if model for volume growth

The model showed when the current configuration stopped absorbing load and allowed teams to compare expansion options before buying resources.

  • 20%, 50%, and 100% order growth with warehouse and shift load calculation.
  • Vehicle, staff, and warehouse throughput availability checks.
  • Identification of when warehouse, fleet, or team expansion is required.
  • Capacity planning and stress tests for peak and combined scenarios.

Routing and delivery-time model

The second part analyzed routes, traffic, delivery windows, delays, queues, border crossings, customer priorities, and SLA impact.

  • Route simulation for comparing routes and delivery windows.
  • Delay analysis for transport delays, queues, and border crossings.
  • SLA impact analysis for missed delivery windows.
  • Customer and partner-order priorities under limited throughput.
Result

Operational pains the model removes

The company understands in advance where the process will fail under growth and which resources must be prepared.

It reduces delivery deadline failures, unpredictable travel time, and weak SLA planning for customers.

Routing, resource, and priority decisions are tested in the model before operational changes are launched.

Ready to test a similar scenario?

Describe the process, constraints, and decision you need to validate. We will show how it can be simulated before implementation.

Start Simulation Pilot