01
One event model across the shipment lifecycle
Create consistent order, inventory, movement and exception state across participants.
Industry / LT
Operational control for supply chains that do not follow the plan.
Logistics networks are governed by exceptions: late inventory, unavailable capacity, missed scans, weather, damaged goods and customer changes that break the nominal plan.
Operating context
Technology has to fit the institution around it.
Logistics networks are governed by exceptions: late inventory, unavailable capacity, missed scans, weather, damaged goods and customer changes that break the nominal plan.
A useful digital system senses these events early, explains their downstream consequence and gives operators realistic actions rather than an idealised map.
Operating agenda
Priorities that shape the architecture.
We translate operating risk and commercial objectives into explicit system boundaries, evidence and decision ownership.
02
Planning that acknowledges uncertainty
Use forecasts and optimisation with capacity, service and human-operating constraints visible.
03
Warehouse and fleet automation under operational control
Integrate robotics and decision systems into recoverable workflows for people and equipment.
Engineering contribution
Where Root Digit contributes.
Each engagement is scoped around a real operating decision, a controlled technical boundary and evidence that leadership can review.
LT.1
Supply-chain control towers
Event-driven visibility, impact analysis and exception workflows.
- Shipment and inventory events
- Dependency and ETA models
- Exception orchestration
LT.2
Planning and optimisation
Demand, route, capacity and inventory decision support.
- Forecasting
- Route and load optimisation
- Scenario planning
LT.3
Warehouse automation
Software and robotics for movement, inspection and inventory workflows.
- Warehouse orchestration
- Autonomous mobile robots
- Vision and scanning systems
LT.4
Fleet and asset systems
Connected operations for vehicles, equipment and field teams.
- Telematics ingestion
- Maintenance intelligence
- Driver and dispatch workflows
Control plane
Controls designed with the system.
Assurance is part of the architecture and operating model—not a review added after delivery.
01
Event provenance
State changes retain source, time, confidence and reconciliation status.
02
Plan-versus-reality feedback
Actual constraints and outcomes continuously update the decision model.
03
Automation recovery
Warehouses and fleets retain safe manual and degraded operating paths.
04
Partner boundaries
Shared visibility does not require unrestricted access to every participant system.
Practical entry points
Start with one decision that matters.
01
Resolve one costly exception
Connect the event, downstream impact and operator action around a recurring failure.
02
Optimise one planning decision
Benchmark recommendations against historical operations and current constraints.
03
Automate one bounded route
Introduce robotics where interfaces, traffic and recovery are well defined.
Continue exploring
Related capabilities and evidence.
Industry conversation