Logistics platforms that move freight without the firefighting.
For carriers, freight brokers, 3PLs, last-mile delivery networks, and supply chain software companies. Real-time shipment tracking, route optimisation, carrier integrations, and the operational dashboards that keep your ops team ahead of delays, not reacting to them.
Engineer for the failure modes — they ship daily.
Logistics software fails at the edges: the integration that drops EDI messages at midnight, the GPS ping that stops updating three stops from delivery, the route that was optimal at 6am but wrong by 10am after two driver call-outs. Most platforms handle the happy path well. We engineer for the failure modes, because in logistics the failure modes are the daily reality.
We've built fleet management systems, last-mile delivery apps, freight marketplace platforms, TMS integrations, and supply chain visibility dashboards. We know EDI 204/210/214 and the quirks of FedEx, UPS, and carrier API rate limiting. We know how driver apps need to work on spotty cellular connections and how proof-of-delivery captures need to sync when connectivity resumes.
The logistics ops bar is set by Amazon Logistics, project44, and FourKites. Shippers and brokers expect real-time ETAs, exception alerts before SLA breach, and carrier scorecards that actually reflect service quality. We build to that standard — sub-minute location updates, predictive delay detection, and the carrier performance data your procurement team can negotiate with.
Logistics sub-verticals.
What we actually build.
Real-time shipment tracking
GPS telemetry ingestion, cellular and IoT device integration, sub-minute location updates, geofence event triggers, and the ETL pipeline that turns raw pings into meaningful status milestones visible to shippers and customers.
Route optimisation & dispatch
Vehicle routing problem (VRP) solvers, time-window constraints, multi-depot optimisation, live re-routing on driver call-outs, and the dispatch console your operations team uses to manage 200 drivers without a spreadsheet.
Carrier & TMS integrations
EDI 204/210/214 transaction sets, FedEx / UPS / DHL API integration, carrier rate shopping, load tendering workflows, and the data normalisation layer that makes every carrier look the same to your application.
Driver mobile apps
iOS/Android driver apps with offline-first architecture, turn-by-turn navigation, proof-of-delivery capture (signature, photo, barcode scan), and background sync that handles spotty rural cellular without losing data.
Warehouse & inventory management
Receiving, putaway, pick/pack/ship workflows, cycle count management, FIFO/FEFO inventory control, WMS integration (Manhattan, Blue Yonder), and the barcode/RFID scanning infrastructure your warehouse floor runs on.
Supply chain visibility & analytics
Multi-tier supplier event aggregation, OTIF reporting, dwell time analysis, carrier scorecards, exception management dashboards, and the ML-based delay prediction that triggers alerts before the SLA clock runs out.
The three layers every logistics platform needs.
Most logistics platforms stall because tracking, routing, and visibility were built as separate dashboards that don't share data. We engineer all three as one real-time operational fabric.
Real-Time Tracking Layer
- GPS / cellular / IoT telemetry ingestion at scale
- Sub-minute location update pipeline (Kafka / MQTT)
- Geofence event triggers for arrival, departure, dwell
- ELD integration for FMCSA hours-of-service data
- Live map with vehicle clustering & exception flags
Dispatch & Route Optimisation
- VRP solver with time-window & capacity constraints
- Multi-depot and multi-day tour optimisation
- Live re-routing on cancellations and driver call-outs
- Driver app with offline-first turn-by-turn navigation
- Dispatch console with drag-and-drop load assignment
Visibility & Analytics
- Predictive ETA engine (ML-based delay detection)
- OTIF reporting & SLA breach alerting
- Carrier scorecard — on-time, damage rate, response time
- Dwell time analysis & lane performance benchmarking
- Exception management: automatic shipper notifications
Offline-first driver apps — built for tunnels, warehouses, and rural dead zones
Local-first data · Background sync · Conflict resolution · POD capture without connectivity
Logistics systems we integrate.
Carriers, TMS platforms, ERPs, telemetry brokers, and mapping APIs — each with the undocumented production edge cases we've already hit and engineered around.
Built for regulated freight.
Logistics intersects transportation safety law, customs regulation, supply chain security, and data privacy. We treat every mandate as an engineering constraint from the start.
Tools we reach for first.
From data audit to live operations.
Every logistics engagement starts with an operational data audit and ends with dashboards your dispatch team can act from — not just reports your engineers have to interpret.
Operational data audit
We map your carrier integrations, telemetry sources, EDI transaction sets, and TMS dependencies before writing a line of code. You get a written data architecture document and an integration dependency map your ops and engineering teams can review together.
Platform & data architecture
We design the telemetry ingestion pipeline, route optimisation model, carrier integration strategy, and real-time event schema. Decisions like Kafka vs. Redis Streams and OR-Tools vs. custom heuristics are made here with your fleet size and constraint complexity in mind.
Build for the failure modes
Offline-first driver apps, idempotent telemetry ingestion, EDI retry logic, and graceful degradation when carrier APIs go down. We test the unhappy paths explicitly — because in logistics, the unhappy paths happen every day.
Launch & ops reliability handoff
We instrument carrier API uptime, telemetry ingestion lag, route optimisation solve time, and OTIF by lane. You get ops runbooks for carrier API outages, EDI failures, and GPS blackout zones — plus dashboards your dispatch team can act from directly.
Where to start.
Frequently asked.
7 questions answered. Still have one? Reach out.
Yes — we've integrated with major TMS platforms (MercuryGate, TMW, McLeod) and ERPs (SAP, Oracle, NetSuite) via EDI, REST APIs, and direct database connectors. Every integration starts with a data mapping session where we document field-level translation rules, error handling, and retry logic before we write code. TMS integrations almost always have undocumented edge cases — we find them in the mapping session, not in production.
Let's build what's next.
Tell us what you’re building. We’ll tell you how we’d help.