Transfer to depots and delivery bases
Shipments are handed from a central warehouse, hub, or cross-dock to regional depots or delivery bases. Fine-grained delivery planning starts there.
Distribution and last mile operations place particularly high demands on planning and dispatch. Depot assignment, territories, time windows, vehicle restrictions, and short-notice changes all create complexity that manual planning struggles to absorb.
Why this structure is demanding
Depot, territory, vehicle, and stop sequence have to run inside one shared logic.
Tight windows, high stop density, and fluctuating volumes make delivery planning highly dynamic.
Re-optimization is not an exception. It is part of daily operational reality.
In depot-based delivery networks, planning does not end once freight reaches the depot. Orders still need to be assigned to locations, territories, and vehicles, then routed efficiently and adjusted throughout the day.
Depot-based delivery networks combine depots, territories, vehicles, and stops in one shared dispatch logic
Tight windows, high stop density, and fluctuating daily volumes increase complexity sharply
Delivery quality, transparency, and reaction speed have to be secured together
Vehicle restrictions, range limits, and urban access rules shape the plan directly
Orders, returns, pickups, and extra processes need to be rebalanced continuously during the day
Re-optimization is central because new orders and disruptions occur constantly
Shipments are handed from a central warehouse, hub, or cross-dock to regional depots or delivery bases. Fine-grained delivery planning starts there.
At the depot, jobs are sorted, consolidated, and assigned to available vehicles and route clusters by territory, priority, time window, or service level.
During the day, regional delivery, extra waves, reloads, returns, pickups, and disruption handling turn route planning into an integrated dispatch task.
Orders, customers, and service areas need to be distributed sensibly across depots, regions, and vehicles. A sound structure creates the basis for stable tours and high utilization.
Delivery commitments, priorities, and SLA targets must be kept reliably. Hard and soft time windows, fixed delivery slots, and customer-specific service logic all matter.
Different vehicle types, capacities, ranges, shift models, and access restrictions affect planning directly, especially in urban networks with smaller or low-emission vehicles.
Orders often do not become available at the same time. Planning has to handle release times, sort completion, reload processes, and several delivery waves.
How our software helps
Our software optimizes distribution and last mile end to end. Instead of calculating only isolated tours, it models depot assignment, territory logic, time windows, heterogeneous fleets, reloads, returns, pickups, and day-of-operation re-optimization in one consistent system.
Our software supports structured allocation of orders to depots, regions, and service areas so stable tours can be built on a stronger operational foundation.
Time windows, vehicle restrictions, service levels, and operational constraints feed directly into tour formation instead of being corrected manually afterward.
Different vehicle classes, capacities, ranges, shift models, and urban restrictions can all be represented inside one integrated planning logic.
Several delivery waves, reloads, and repeated vehicle usage across the day can be planned systematically instead of handled ad hoc.
When conditions change, the solution generates robust alternatives quickly so dispatch can react to delays, new orders, or vehicle failures in a structured way.
Higher on-time performance
Better vehicle utilization
Fewer manual interventions
More visibility in delivery operations
More robust tours during the day
A more scalable transport structure