Industry
Logistics software.
Logistics software runs where connectivity is worst — in vehicles, in warehouses with metal everywhere, in areas with no coverage. Assuming a network is available is the mistake that makes these systems unusable in the field.
What shapes the architecture
Constraints that are specific to this sector.
These are the things that would be wrong or meaningless if written about a different industry. They are design inputs, not compliance paperwork added at the end.
- 01
Offline-first is the default
A driver app must accept input with no connectivity and reconcile later. That requires a local write log and a conflict resolution policy decided up front.
- 02
Telemetry is a time-series problem
Position pings from thousands of vehicles do not belong in a relational table. A purpose-built time-series store makes the difference between fast and unusable.
- 03
Routing is constraint solving
Vehicle capacity, driver hours, delivery windows, load order. Naive shortest-path routing produces plans that fail on contact with reality.
- 04
Events arrive out of order
A delivery confirmation can land before the dispatch event that precedes it. Event-time processing has to tolerate that without corrupting state.
Typical work in logistics.
- Fleet telemetry and tracking
- Route planning and optimisation
- Warehouse management
- Driver and field-crew applications
- Proof of delivery capture
- Freight rating and billing
What it has to talk to.
- GPS/AIS telemetry
- ELD devices
- EDI
- Carrier APIs
- Barcode/RFID
Integration surfaces are where most sector projects actually fail. We treat each one as a boundary with its own translation layer, rather than letting an external format leak into the domain model.
Reference build
How we'd build it, decisions included.
An illustrative architecture for this sector — the problem, the approach, and the alternatives we rejected with reasons.
Other sectors
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