Move More.
Waste Less.
End-to-end mobility and logistics services — transportation planning, fleet and asset management, route and delivery optimisation, shipment visibility, warehousing, fulfilment and last-mile operations — powered by data, automation and AI.
lower fuel and fleet costs with AI route optimisation
Industry benchmark · NextBillion.ai, 2026
predictive ETA accuracy, up to 24 hours out
Shippeo, 2026
of support tickets are "where is my order" calls that proactive tracking removes
Descartes / Salesforce research
We provide end-to-end mobility and logistics services — from transportation planning and fleet management to route optimisation, shipment visibility, warehousing and last-mile operations. Every engagement leverages data, automation and AI to lift operational efficiency, real-time visibility, service reliability and cost performance across the whole logistics value chain.
Across the Whole
Value Chain
Transportation Planning
Network design, mode selection and capacity planning grounded in your real demand data — so linehaul, PUD runs and contractor mix stop being guesswork.
Fleet & Asset Management
Telematics, utilisation analytics and predictive maintenance that keep vehicles earning — and cut the unplanned downtime that eats thin margins.
Route & Delivery Optimisation
Dynamic routing, load building and backhaul matching that convert empty kilometres into paid ones — deadheading is the most expensive way to drive.
Shipment Visibility
Live tracking, predictive ETAs and proactive exception alerts — so customers stop calling to ask where their order is, and your team manages by exception.
Warehousing & Fulfilment
WMS integration, slotting and pick-path optimisation, cubic utilisation and automation readiness — a warehouse built for peak, not just for average.
Last-Mile Operations
Digital POD, delivery windows customers actually get, driver apps and automated invoicing — the last mile is where reputations are won or lost.
The Numbers Behind the Promise
Lower fuel & fleet costs — AI route optimisation
Less unplanned downtime — predictive maintenance
Faster fulfilment — warehouse automation
Predictive ETA accuracy, 24 hours out
Industry benchmarks: McKinsey, NextBillion.ai, Shippeo, Xorosoft (2025–26). Results vary by operation — we model yours before we promise anything.
Dispatch, in practice
Today
- Runs planned on a whiteboard and a phone
- Drivers work from printed run sheets
- Paper PODs collected at the end of the week
- Customers ring to ask where their freight is
- Return legs booked ad hoc, or run empty
Working with us
- Routes built from live traffic and delivery windows
- Drivers work from a phone, updated in real time
- Proof of delivery captured digitally at the door
- Customers told about a delay before they notice it
- Backhauls matched automatically against empty legs
Operators adopting AI route optimisation report 15–30% lower fuel and fleet costs (NextBillion.ai, 2026). Shown to illustrate the shift, not as a promise — we model your own runs before committing to a number.
How AI Shows Up on the Road
Use Case 01
Dispatch That Optimises Itself
From whiteboard runs to routes that re-plan around reality
Most SME fleets still dispatch by phone and spreadsheet — and in mature freight markets, roughly a third of truck kilometres run empty. Optimised dispatch turns that structural waste into margin: routes built from live traffic and delivery windows, loads matched to backhauls, and paperwork that finishes itself when the freight lands.
Drivers get a clean run sheet on their phone. Your invoicing runs off delivery events, not end-of-week docket piles.
- Dynamic route optimisation & load building
- Backhaul matching to cut empty running
- Driver apps with digital proof of delivery
- Automated invoicing from delivery events
Use Case 02
Visibility That Answers Before the Phone Rings
Predictive ETAs, proactive alerts, and an end to WISMO calls
"Where is my order?" enquiries make up 20–40% of inbound support volume for many operators — pure cost created by poor visibility. Real-time tracking with predictive ETAs flips the model: customers get told before they ask, and your team only touches the shipments that need help.
The same visibility layer becomes a control tower for DIFOT, dwell time and demurrage exposure — the numbers your biggest customers already grade you on.
- Customer-facing tracking & notifications
- Predictive ETAs with delay alerts
- Exception-based control-tower dashboards
- DIFOT, dwell & detention analytics
Use Case 03
A Warehouse That Keeps Pace With Peak
Forecasting, slotting and automation readiness for parcel-era volumes
Australian online spend passed $82B in 2025, and peak seasons now stretch SME dock, labour and storage capacity to breaking point. AI demand forecasting cuts error 20–50% against statistical baselines — which means rosters, stock and space planned against what's actually coming.
We start with the unglamorous wins — slotting, pick paths, cubic utilisation — and build an honest business case before anyone mentions robots.
- AI demand forecasting & labour planning
- Slotting & pick-path optimisation
- WMS selection, integration & data unification
- Automation & robotics readiness assessment
Chain of Responsibility liability now reaches schedulers, loaders and managers — not just drivers — and fatigue-duty penalties keep climbing. The systems we build log, schedule and evidence compliance as a by-product of doing the work, so an audit is a report, not a scramble.
What's Your Cost
Per Delivery Hiding?
Bring us a month of run sheets and we'll show you where the kilometres, hours and dollars are leaking — no obligation, no jargon.