Logistics
Fleets, moved by mathematics
A control tower for atoms
Logistics software is a physics problem with invoices attached. We build control towers that watch every vehicle live, routing engines that shave kilometres off thousands of stops, and depot workflows that survive the real world of patchy networks, gloves and all.
GPS in, decisions out: ETAs customers can trust, exceptions that surface before the phone rings, and an audit trail for every parcel that moved. The demo above is the kind of console dispatchers keep open all shift.
The control tower, live
Vehicles crawl their routes, KPIs drift, the manifest advances, a miniature of the operations consoles we ship. All data on screen is illustrative.
What we engineer
The systems behind the product, each one scoped, owned and shipped by the same senior team.
VRP solvers with time windows, capacities and driver constraints
GPS and IoT ingestion at fleet scale, with geofences and alerts
Prediction tuned on your lanes, traffic and dwell times
Scanning, sortation, manifests and proof-of-delivery apps
Escalations, SLA timers and proactive customer notifications
Rate cards, invoicing and settlement across partners
The shape of the system
Every build is bespoke, but the bones are proven. A typical architecture, end to end:
A typical stack
Chosen per problem, defended in the tech plan, and boring wherever boring wins.
A fleet outgrowing its spreadsheets?
Give it a tower.
From telematics ingestion to full control-tower builds. Describe the operation and we’ll sketch the system that runs it.
Frequently asked questions
Do you build custom logistics and supply-chain software?
Yes. We build logistics control towers and operational software end to end, designed to hold up in real depots and fleets rather than only in a demo.
What can a logistics platform include?
Live fleet telemetry, route optimisation engines, accurate customer-facing ETAs, and hub, dock and manifest workflows that match how depots actually operate.
Can you optimise routes and predict ETAs?
Yes. We build route-optimisation engines and ETA models that account for real conditions, so plans are efficient and the ETAs you show customers are trustworthy.
Will it handle real depot and warehouse operations?
Yes. The workflows are designed around real hub, dock and manifest operations and the messy edge cases of live logistics, not an idealised happy path.
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