Transport / Mobility / Port

Maintenance shifts to predictive, vehicle usage is optimized, consumption and behaviors are monitored.

Telematics, predictive maintenance, fleet management.

1. Equip the fleet and monitor usage and wear indicators. 2. Schedule maintenance based on actual condition rather than just the calendar. 3. Optimize fleet size and allocation based on measured usage.

Monitoring drivers is done within a clear and fair framework: team trust is worth more than telemetry.

Management is driven by data: punctuality, load factor, costs per kilometer. Reporting is generated, attention is focused on causes of deviations.

TMS, operational dashboards, cost analysis.

1. Consolidate operational indicators into a daily table. 2. Analyze deviations by cause: traffic, loading, maintenance, planning. 3. Generate reports and discuss them with the field.

Operational safety takes precedence over all indicators: no load factor justifies a risk.

Assignment is optimized in real-time, uncertainties are managed with proposed solutions, communication with drivers and clients is automated.

Real-time optimization, fleet tracking, automated communication.

1. Allow the tool to propose assignments and rescheduling, arbitrate sensitive cases. 2. Automate information to parties with each change. 3. Analyze recurring uncertainties to reduce them at the source.

The driver on the other end of the radio is a human under constraint: optimization respects rest times and the reality of the road.

Stopovers are planned optimally, documentation is dematerialized, congestion is anticipated. Directly relevant for Port-Louis.

Port community system, stopover planning, flow anticipation.

1. Dematerialize documentary exchanges with stakeholders. 2. Plan stopovers and resources based on actual arrival forecasts. 3. Anticipate congestion and communicate early with actors.

The port is an ecosystem: local optimization that blocks another actor has repercussions.