What we automate
We build AI for logistics systems that integrate with the operational reality of Australian logistics and transport businesses. Common workflows we automate end-to-end:
- Route optimisation across multi-stop deliveries
- Real-time freight tracking and customer notifications
- Driver compliance (NHVR fatigue, mass, dimension)
- Warehouse pick path optimisation
- Yard management and dock scheduling
- Customs and freight documentation automation
- Demand forecasting and capacity planning
Built for the realities of logistics and transport
NHVR compliance for heavy vehicles has specific structured requirements.
Customer SLAs require real-time visibility, not periodic batch updates.
Driver and field worker UX matters more than office-based tools.
Integration with carrier APIs (TNT, Toll, StarTrack, Aramex) varies in quality.
Why work with us on AI for logistics
AI for logistics work that integrates with the Australian carrier landscape, respects NHVR compliance, and ships interfaces that drivers actually use.
Where most AI in logistics transport goes wrong
Most logistics and transport AI projects get framed against routing or scheduling in isolation, without integration to the customer-facing exception management, finance, or supplier-coordination layers. The fragmented patterns: AI routing engines without integration to the TMS or WMS; exception-management agents that don't surface in the customer service workflow; AI for capacity forecasting that doesn't reach the supplier-coordination team; freight-rate AI that doesn't connect to the finance and audit trail; and AI workflows that ignore the seasonality of AU freight movements. Logistics is high-volume, low-margin, and pattern-rich. AI that gets the integration right delivers measurable margin compression. AI that doesn't is rapidly turned off.
Systems we integrate against
Logistics and transport AI engagements typically integrate against MercuryGate, Manhattan, Oracle TMS, SAP TM, Microsoft Dynamics 365 SCM, CartonCloud, Magaya, WiseTech CargoWise, Descartes, Geneva Aerospace, fleet management platforms (Verizon Connect, Geotab, Teletrac Navman, MTData), customs platforms (CargoWise CCM), and finance systems (Pronto, Xero, MYOB Advanced for mid-market AU operators). Customer-facing portals and EDI exchanges with shippers and carriers add another integration dimension. The integration work is rarely standard because each customer has slightly different data exchanges.
If your stack isn't listed above, reach out anyway. The systems vary by industry but the integration patterns don't. We can usually work with whatever you're running. Tell us your stack.
Regulatory and compliance landscape
AU logistics and transport operates under heavy regulatory load: Heavy Vehicle National Law for road transport, Australian Road Rules, Civil Aviation Safety Authority obligations for air freight, Australian Maritime Safety Authority for sea, Australian Border Force and Department of Home Affairs for imports and exports, biosecurity through DAFF, the Modern Slavery Act for supply chain, fair work obligations including the road transport awards, environmental obligations on emissions and waste, and increasingly SOCI Act obligations where the operator qualifies as critical infrastructure. We design AI deployments against this stack with attention to the safety case for any decision-supporting AI.
Operational outcomes we move
Defensible outcomes we have moved on logistics engagements: routing efficiency improvement; customer-facing exception communication response time compressed; carrier and freight-rate analysis cycle time reduced; capacity planning evidence overhead lowered; customs and compliance documentation produced from operational data rather than retyped; safety observation routing accelerated. The metric is cost-per-shipment and on-time-delivery rate. We measure both at baseline and against agreed targets.
Common deployment patterns
Common deployment patterns for AU logistics: agent-assisted exception management surfaced in the existing customer service workflow; freight-rate and carrier-selection agents that synthesise across historical rates, capacity, and customer service-level requirements; customer-facing chat that resolves status queries directly from the TMS rather than escalating to staff; capacity-planning agents that produce decision-ready output for the supplier-coordination team; safety and compliance observation triage agents.
Related Bedstone services
Logistics and transport operators typically pair this work with routing, dispatch, and exception agents, custom TMS and WMS integrations, and infrastructure that scales with seasonal load. Or look at Bedstone OS for an operational AI workspace connecting fleet, freight, and customer data.
How we engage
Five-step delivery, scoped to fit. Audit, scope sprint, proof of concept, verification, rollout. Wrapped as a fixed-scope sprint, monthly retainer, fractional engagement, or one-off audit. See services for the full process and commercial structures.
Common questions about AI for logistics
What does AI for logistics typically deliver in measurable terms?
Three durable wins: route optimisation that reduces fuel and time, automated customer notifications that reduce inbound call volume, and compliance automation that reduces audit risk. Each is measurable against baseline.
Can you integrate with our TMS, WMS, or carrier APIs?
Yes. We integrate against the most common AU TMS and WMS platforms, plus carrier APIs for the major operators.
Do you work with last-mile, freight forwarders, or 3PLs?
All three. The right scope depends on whose customer experience the project is improving.
Is this eligible for R&D Tax Incentive?
Most agentic AI and novel integration work qualifies.
Across Australia
We work with logistics and transport operators across the country. See city-specific context: AI agency Australia, Brisbane, Sydney, Melbourne, Perth.