FleetPro: Run Planning, Electronic Work Diary & Fleet Compliance
How GetPost Labs would build the transport allocator's workflow: orders read and run plans drafted by AI agents, fatigue and mass limits checked against electronic work diary and vehicle data by fixed rules, and every run released by your allocator. The Chain of Responsibility record is kept on the same trail.
Executive Summary
The Problem: Every day the allocator matches orders to trucks and drivers against delivery windows, driver hours, vehicle mass limits and permits, then keeps the plan moving through breakdowns and late changes. Driver hours sit in the electronic work diary, orders in email and the TMS, and the compliance evidence in registers, so the plan is built and checked by hand.
The Solution: FleetPro gives the order reading and first-draft run plan to AI agents, keeps fatigue, mass and permit limits as fixed rules in software, and leaves the release of every run with the allocator. Work diary hours, run changes and proof of delivery sit on one record.
The Outcome: The allocator adjusts a checked plan instead of building one from scratch, no run is released that breaks a fatigue or mass rule, and each delivery keeps its own Chain of Responsibility trail.
The Challenge
Understanding the problem space
"Monitor compliance with fatigue management, mass limits, and other regulatory requirements"
— A duty listed in a current Australian transport allocator job ad (SEEK, September 2026)
Allocation and compliance are the core of the role. Across 16 current transport allocator and fleet compliance ads, the same duties come up again and again: allocate trucks and drivers to runs, manage driver schedules within fatigue rules, watch mass limits and permits, meet Chain of Responsibility and NHVR requirements, and keep accurate records in the TMS.
Most of that work is cross-checking information that already exists somewhere else — the orders, each driver's work and rest hours, the vehicle's registration, mass limits and permits, yesterday's runs. When it lives across the TMS, the work diary, email and a spreadsheet, every plan is checked by hand, and one missed break or overloaded axle becomes a breach with the whole chain responsible.
Source: 16 transport allocator and fleet compliance job ads in Australia on SEEK, September 2026. Employers not named.
The Solution
What GetPost Labs would build
Core Capabilities
Where the Time Comes Back
Releasing, not rebuilding
The allocator stops building each day's plan by hand and starts adjusting a plan that has already been checked:
Daily Run Plan
Read the orders, look up who is available, juggle trucks and windows on a whiteboard or spreadsheet, type it into the TMS.
The agent has drafted the plan from the orders and fleet. The allocator moves the few loads that need local knowledge and releases it.
Fatigue & Work Diary Hours
Check each driver's hours in the work diary against their next run, and hope nothing changed since the last check.
A rule checks every driver's electronic work diary hours against the fatigue scheme before a run can be released, and re-checks on every change.
Mass & Permits
Add up the load weights by hand, check the vehicle's limits and whether the route needs a permit.
A rule checks each load against the vehicle's mass limits and permits. A run that fails cannot be released.
BPMN Workflow
The business process modelled
Daily Runs: Orders to Delivered
User Journey
A Day's Runs, Orders to Delivered
Scenario: A regional general-freight operator plans tomorrow's deliveries across its rigid trucks and semi-trailers.
Reads the day's orders from email and the customer portal into the TMS, and flags one order with no delivery window
Drafts which truck and driver take each load, grouping drops by area and delivery window
Checks each driver's electronic work diary hours against their fatigue scheme and each load against the vehicle's mass limits. One driver would run out of hours, so that run is blocked
Moves the blocked run to a rested driver and confirms the missing delivery window with the customer
Releases the plan once the rules pass. Drivers receive their runs
Completes the drops, records work and rest in the electronic work diary and captures proof of delivery
Plan, hours, mass checks, the change and proof of delivery kept on one record for Chain of Responsibility
Outcome: Every run goes out checked against the fatigue and mass rules, with every change and decision on one record. The agent drafted it; the allocator released it.
Interactive Prototype
Functional dashboard demonstrating the concept
Driver Hours Monitor
Real-time fatigue management • NHVR compliant
| Driver | Vehicle | Today | Week | Rest Due | Fatigue | Status |
|---|---|---|---|---|---|---|
John Smith | TRK-01 | 8.5h | 42h | 3.5h | low | driving |
Sarah Chen | TRK-02 | 6.2h | 38h | 5.8h | low | driving |
Mike Wong | TRK-03 | 10.5h | 48h | 0h | medium | resting |
Emma Brown | TRK-04 | 4h | 32h | 8h | low | driving |
Tom Wilson | TRK-05 | 11.2h | 52h | 0.8h | high | alert |
© 2026 GETPOST Labs. Full Stack Engineering Solutions.
Functional prototype. Click on cells and entries to see interactions.
System Context
Where FleetPro fits in the ecosystem
Have a Similar Problem?
This is the kind of workflow automation GetPost Labs builds. If your organisation has similar challenges, we'd love to discuss how a custom solution might help.