Use Cases

Holding a 98%+ on-time rate through a mixed van and cargo-bike last-mile fleet

Dynamic dispatch across a heterogeneous fleet serving dense urban delivery windows

Aerial view of delivery vans staged in rows at a logistics depot at dawn

USE CASE / ROUTING

Published product metrics

Vehicle-km

−18%

On-time rate

98.4%

CO₂ per parcel

−24%

These figures match the published metrics on the Predictim Routing product page — this walkthrough is a composite scenario, not a specific engagement.

The challenge

Dynamic dispatch across a heterogeneous fleet serving dense urban delivery windows

Segment: Regional last-mile parcel delivery

A last-mile fleet is rarely uniform: some vehicles can enter restricted city-centre zones and others can't, drivers hold different route certifications, and customer delivery windows are contractually hard, not preferences. Manual dispatch handles the common case reasonably well, but any late-arriving order, cancellation, or traffic incident forces a rebuild that eats into dispatcher time and pushes some deliveries outside their promised window.

The approach

How the deployment was structured

Fleet-aware assignment

The solver matches each stop to a vehicle that's actually allowed to make it — respecting zone access, vehicle type, and driver skill constraints instead of assuming a uniform fleet.

Hard windows, not soft penalties

Customer delivery windows and driver-hour rules are enforced as hard constraints, so a route that looks efficient on paper can't quietly violate a promised window.

Continuous re-optimisation

Routes update as orders are added, cancelled, or rescheduled through the day, without dispatchers manually rebuilding a plan from the point of disruption.

Traffic-adaptive re-routing

When live or predicted traffic pushes a route past its delay tolerance, re-optimisation triggers automatically rather than waiting for a dispatcher to notice.

What changed

Moving dispatch from a manual, reactive process to continuous re-optimisation is what lets a mixed fleet — vans and cargo bikes, different zone permissions, different drivers — hold a consistent on-time rate instead of degrading every time something changes mid-day.

Product used