Technology That Keeps Your Supply Chain Moving

The most practical uses of AI in logistics and supply chain today are predicting delivery ETAs from live GPS and history, triaging delivery exceptions, extracting data from consignment notes, invoices and customs documents, answering where-is-my-freight queries, and forecasting demand for warehouse labour. Route optimisation itself is mostly established operations research rather than generative AI, and we use whichever technique fits. Our logistics and transport software guide covers these use cases in an Australian context.

If a standard TMS, WMS or fleet platform fits your operation, buy it. Custom logistics software development makes sense when your operation has workflows packaged tools handle badly, when you need to join several systems into one view for customers or dispatch, or when per-vehicle or per-user licensing stops adding up. The common middle path is keeping the core platform and building the driver app, customer tracking portal or integration layer around it.

We can integrate with platforms that publish APIs, such as CargoWise One (including the CW1 REST and XML API), SAP EWM and TM modules, Oracle Transportation Management, and Australian platforms such as Microlistics, Paperless and Freight2020. We confirm access in the Discovery Audit. Our typical integration approach uses event-driven messaging (via RabbitMQ, AWS SNS/SQS or Azure Service Bus) to decouple systems and avoid tight coupling that breaks on upgrade cycles. For older systems without published APIs we implement EDI-based integration (EDIFACT, X12, or flat-file formats) using industry-standard middleware.

Chain of responsibility (CoR) under the Heavy Vehicle National Law means that every party in the supply chain, not just the driver, can be liable for HVNL breaches. Our fleet systems capture the data your compliance team uses to show due diligence: pre-departure safety checks with photo evidence, mass and dimension declarations linked to consignment records, driver fatigue and work diary data cross-referenced against scheduled departure times, and vehicle maintenance records with service due alerts. We can produce Chain of Responsibility evidence reports on demand and integrate with NHVR's Intelligent Access Programme (IAP) transponder data where required.

We build driver apps for the Android and iOS devices your fleet already carries, with offline-first architecture for regional areas with poor connectivity. Standard features include GPS tracking, job card management, digital proof of delivery with photo and signature capture, barcode/QR scanning, real-time messaging with dispatch, pre-start safety checklists, fatigue status tracking, and dangerous goods acknowledgement workflows. The app syncs with the dispatch platform over low-bandwidth connections and queues data locally when offline, flushing to the server on reconnection.

Yes, and it's one of the most impactful features for reducing inbound customer service calls. We build branded tracking portals and SMS/email notification workflows that give consignees live visibility of their freight status, estimated delivery windows, driver ETA based on real-time GPS, and the ability to redirect deliveries or authorise safe drop. These portals integrate with the carrier's internal TMS data via a thin API layer and can be deployed as a white labelled subdomain (e.g. track.yourcompany.com.au). Timing for your build is set in your Schedule of Work.

Yes. We build last-mile platforms for Australian e-commerce fulfilment, including multi-carrier rate shopping (integrating with Australia Post, Sendle, CouriersPlease, StarTrack and DHL), automated despatch manifesting, carrier label printing, delivery exception management and returns processing. We plan for the specifics of Australia Post's eParcel and MyPost Business platforms, including rate limits and label workflows that catch teams out at scale. For high-volume operations we implement intelligent carrier selection rules based on zone, weight, service level and negotiated rate tables.