A Building 8 product

Route optimisation built for the hard case.

GoLoop's automated fleet optimisation engine saves hours of manual planning while minimising road time and maximising on-time rates. Send it your fleet and your jobs; get back an optimised manifest in seconds.

Get early access See how it works

The problem

Manual route planning doesn't scale.

Even 5 drivers and 50 deliveries produce billions of possible route combinations. No whiteboard, spreadsheet or experienced planner can search that space before the vans need to leave.

Wasted kilometres on routes that double back
Missed time windows and falling on-time rates
Overloaded drivers and expensive overtime
No way to re-plan when urgent jobs land mid-morning

“I want to see why it's taking my drivers so long to complete their routes. We're averaging 70% completion per day.”

Courier company operations manager

The difference

The same day, planned twice.

Planned by hand

Planned by GoLoop

Fewer kilometresMore on-time arrivalsPlanning time: seconds, not hours

Illustrative comparison — same fleet, same jobs, different planner.

How it works

Three steps from raw jobs to a driver-ready manifest.

Describe your day

Fleet, drivers, jobs and time windows, as simple structured data — JSON via API, or through your existing systems.

GoLoop solves

Powered by Google OR-Tools, the same optimisation technology used in production at Google. First solutions in under 30 seconds.

Get your manifest

Per-vehicle route sequences, arrival and departure windows, driver breaks scheduled, road-accurate travel times.

Differentiators

Built for the hard case.

Cold chain, done properly

Refrigerated consignments only go on refrigerated vehicles. A hard constraint, not a preference.

Equipment & driver matching

Tail-lift required? Specific qualified driver? GoLoop only assigns vehicles that genuinely fit the job.

Site-level rules

Some docks refuse large vehicles or only admit named drivers. GoLoop encodes rules per location.

Mid-day re-optimisation

Urgent jobs at 11am? GoLoop re-plans around your drivers' live progress. Completed stops stay locked; the new plan picks up from where each driver actually is.

Most routing tools are built for the simple case. The hard case is where the real money is lost — and that's what GoLoop is built for.

Warm start

Urgent jobs at 11am? Already handled.

07:00
Manifest goes live
Drivers leave the depot with the morning plan on their devices.
09:40
Deliveries under way
Completed stops lock in as drivers progress through their routes.
11:04
Two urgent consignments land
A customer calls; the day just changed.
11:05
GoLoop re-plans, live
The new plan starts from where each driver actually is. Completed stops untouched, no vehicle swaps mid-route, drivers just see their next stop update.

Re-optimisation in around a minute — without disrupting a single completed stop.

Capabilities

Multi-vehicle routing

Pickup-and-delivery pairing

Soft & hard time windows

Weight, volume & count capacities

Mandatory vs optional jobs with priority tiers

Driver break scheduling

Toll avoidance profiles

Arbitrary start/end locations

Road-accurate distances

Who it's for

Fleets where the constraints are the whole problem.

Cold-chain & food logistics

Temperature-controlled consignments with tight delivery windows and no room for a wrong vehicle.

Courier & last-mile fleets

High stop counts, same-day additions and drivers who need a plan that survives the morning.

Field service & healthcare visits

Skill-matched engineers and clinicians, appointment windows, breaks and travel time that is real.

Logistics platforms & TMS providers

Integrate GoLoop as an embedded optimisation API — POST JSON, receive JSON, no proprietary SDK.

For developers

API-first.

Any platform that can send JSON can use GoLoop. One endpoint, explicit constraints, a manifest you can hand straight to a driver app.

RESTJSON in / JSON outNo SDK requiredIdempotent solves

Request API access

Request

POST /solve
{
  "vehicles": [
    {
      "id": "VAN-114",
      "start": "DEPOT-SYDNEY",
      "shift": ["07:00", "16:30"],
      "containers": [
        { "type": "refrigerated", "capacity_kg": 900 }
      ],
      "equipment": ["tail_lift"]
    }
  ],
  "jobs": [
    {
      "id": "CONS-8842",
      "location": [-33.8688, 151.2093],
      "weight_kg": 240,
      "requires": ["refrigerated"],
      "window": ["09:00", "11:00"]
    },
    {
      "id": "CONS-8843",
      "location": [-33.9173, 151.0326],
      "weight_kg": 120,
      "window": ["10:30", "14:00"],
      "priority": "optional"
    }
  ]
}

Response

200 OK
{
  "status": "feasible",
  "solve_ms": 8410,
  "routes": [
    {
      "vehicle": "VAN-114",
      "distance_km": 84.3,
      "stops": [
        { "job": "CONS-8842", "arrive": "09:12", "depart": "09:27" },
        { "type": "break", "arrive": "11:45", "depart": "12:15" },
        { "job": "CONS-8843", "arrive": "12:52", "depart": "13:04" }
      ]
    }
  ],
  "unassigned": []
}

Planning still done by hand? Let's fix that.

We're onboarding a small number of fleets and platforms. Tell us a little about your operation and we'll be in touch.