Logistics
AI Solutions for Logistics
Logistics margins live or die on routing, utilization, and exception handling. Zianova builds operations platforms that fuse telemetry, schedule, and demand data into decisions that show up in the P&L.
The challenges
What Logistics teams hit
The patterns we see across Logistics engagements — and the work that moves the needle.
- Fuel and labor costs eat into already-thin margins
- Route plans don't survive contact with real traffic and demand
- Visibility breaks across warehouse / line-haul / last-mile
- Reactive maintenance creates expensive downtime
How Zianova helps
Capabilities for Logistics
Route optimization
OR-Tools + ML constraint solvers that handle real-world stops, time windows, and SLAs.
Demand & ETA forecasting
Probabilistic ETAs and capacity-planning models that absorb seasonality and promotions.
Fleet telematics
Real-time fleet dashboards with anomaly detection for behaviour, fuel, and vehicle health.
Predictive maintenance
Sensor-fed models that flag failures days before they ground a vehicle.
Typical stack
Tools we reach for
PythonOR-ToolsKafkaPostgreSQLTimescaleDBGCP
Outcome
“Lower fuel cost per stop, fewer missed SLAs, and operations teams that get ahead of problems instead of chasing them.”