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Home›Product›AI-Powered Trip Optimisation
Product

AI-Powered Trip Optimisation

Automatically assign consignments to vehicles with a built-in VRP solver, and preview the result before committing.

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VRP2-optOr-optEU 561/2006Preview modeKafka
VRP
Solver built-in
2-opt
Improvement algorithm
EU 561
Regulation compliant
Preview
Before committing

Stop spending hours building route plans manually. Transportial's built-in Vehicle Routing Problem (VRP) solver analyses every open consignment, every available vehicle, driver capacity, time windows, and EU driving regulation constraints, then produces an optimised plan in seconds.

Key highlights

  • Automatic assignment: Consignments are automatically assigned to vehicles and drivers based on capacity, time windows, vehicle type, and EU driving hour rules, without manual guesswork.
  • Best-in-class algorithms: The solver uses nearest-neighbour construction to build an initial plan, then applies 2-opt and Or-opt improvement passes to minimise total distance and time.
  • EU Regulation 561/2006 compliance: Driving and rest time constraints are built into the solver. Every generated plan is automatically checked against EU rules.
  • Preview mode: Run the optimiser in preview mode first. Inspect the proposed plan on the Plan Board and map view before confirming.
  • Dynamic insertion: New consignments that arrive mid-day can be inserted into existing active trips without disrupting other planned stops.
  • Configurable constraints: Control which vehicles, depots, and time windows the solver considers. Pin certain assignments and let the solver optimise around them.

How it works

  1. Collect the open work

    The solver takes every unplanned consignment with its time windows, quantities and requirements, plus the vehicles and drivers you make available to it.

  2. Set the constraints

    Choose which vehicles, depots and time windows the solver may use. Pin assignments that must not change — a dedicated customer vehicle, a pre-agreed pickup — and it optimises around them.

  3. Solve

    The engine builds an initial plan with nearest-neighbour construction, then improves it with 2-opt and Or-opt passes to cut total distance and time, checking capacity, time windows and EU driving rules throughout.

  4. Preview the plan

    The proposed plan appears on the Plan Board and map as a preview. Inspect it trip by trip, adjust anything by hand, and only then commit it to the live plan.

  5. Insert late orders dynamically

    When new consignments arrive mid-day, the solver calculates the cheapest insertion point in trips that are already running, without reshuffling stops that drivers are en route to.

What a VRP solver actually does

The Vehicle Routing Problem is the mathematical version of the dispatcher's morning: given orders, vehicles and constraints, find the assignment and stop order that minimises cost. The number of possible plans grows explosively — for even twenty stops there are more orderings than a human could ever evaluate — which is why manual plans tend to be feasible rather than good.

Transportial's solver works the way modern routing engines do: construct a reasonable plan quickly using nearest-neighbour heuristics, then improve it iteratively. The 2-opt pass removes route crossings by re-ordering pairs of stops; Or-opt relocates short chains of stops between positions and vehicles. Each iteration keeps only changes that make the plan cheaper while staying feasible. The result is not a black box — it is the same reasoning a great planner applies, executed exhaustively in seconds.

Compliance as a constraint, not an afterthought

A cheap plan that violates EU Regulation 561/2006 is not a plan — it is a fine, or a driver stranded at a rest stop with a cold load. Driving and rest time rules are built into the solver as hard constraints: a trip that would push a driver past their limits is never proposed in the first place, and required breaks are part of the calculated timeline.

The same applies to physical constraints. Vehicle capacity in weight, volume and load meters, equipment requirements, and time windows at both ends are respected during solving. This is the difference between optimisation software and a distance calculator: the shortest plan you cannot legally or physically drive is worthless.

Preview first, commit second

Planners rightly distrust systems that rearrange the day behind their backs. Transportial runs optimisation in preview mode: the proposed plan is laid out on the Plan Board and map for inspection before anything becomes real. You can accept it wholesale, adjust individual trips, or discard it.

This keeps the planner in charge of the things solvers cannot know — the customer who complains when a different driver shows up, the yard that unofficially opens early. Pin those assignments, let the solver optimise the rest, and review the result. Teams typically settle into a rhythm where the solver produces the bulk plan and the planner spends their time on the exceptions, which is where their knowledge actually pays.

Technical details

The VRP solver runs as a dedicated Routing Engine backend mode, independently scalable from the API and Worker nodes. It accepts requests via an internal queue backed by Apache Kafka.

Frequently asked questions

Does the optimiser respect EU driving and rest time rules?

Yes. EU Regulation 561/2006 driving and rest constraints are hard constraints inside the solver. Plans that would violate them are never proposed, and required breaks are part of the calculated schedule.

Can I review the optimised plan before it goes live?

Yes. Optimisation runs in preview mode: the proposed plan appears on the Plan Board and map, where you can inspect it, adjust trips manually, and only then commit. Nothing changes in the live plan until you confirm.

Can I fix certain assignments so the solver does not change them?

Yes. Pinned assignments — a dedicated vehicle for a customer, an agreed pickup slot — are treated as fixed, and the solver optimises the remaining work around them.

What happens when an urgent order arrives mid-day?

The solver supports dynamic insertion: it calculates the cheapest feasible insertion point in trips that are already active, without disturbing stops drivers are currently heading to.

What does the solver optimise for?

Total distance and time across the fleet, within hard constraints: vehicle capacity, time windows, equipment requirements and EU driving rules. Fewer kilometres with the same delivery performance is the practical outcome.

Related features

View all features

Interactive Plan Board

A drag-and-drop Gantt planning board that gives planners complete visibility over every resource.

Fleet & Resource Management

Full lifecycle management for every vehicle, driver, and piece of equipment in your operation.

Multi-Modal Routing

Route every shipment by road, sea, air, or rail, with a truck-grade routing engine built into the platform.

View all features

Transport Order ManagementInteractive Plan BoardAI-Powered Trip OptimisationFleet & Resource Management3D Load PlanningOpenMove Driver AppReal-Time Vehicle TrackingMulti-Modal RoutingPricing EngineInvoicing & Financial ManagementMessage AutomationsDocument Management & GenerationIntegrated Email InboxIn-App ChatCustomer & Business PortalIntegration FrameworkReporting & InsightsMulti-Tenancy & White-LabelSecurity & Access Control

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