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LOGISTICS · ERP-SCM · FLEET & SUPPLY CHAIN · PUBLIC SECTOR
Intelligent Transport & Logistics Management
PORTFOLIO
Context & Challenge

Public logistics operators manage large vehicle fleets without real-time operational visibility. Fuel costs, unanticipated breakdowns and routing inefficiencies represent significant losses in public budgets.

The challenge is building an intelligent fleet and supply chain platform with an autonomous operational command center. AI agents must supervise operations continuously, anticipate incidents, and trigger corrective actions. Crucially, the system must function in offline mode when connectivity is limited, ensuring operational continuity in all environments.

Key Deliverables
1

Real-time GPS fleet tracking with dynamic cartography & autonomous AI rerouting on incidents

2

Predictive maintenance: early anomaly detection via telemetric data + AI route optimization (traffic, time, fuel)

3

Automated supplier & purchase order management + automatic regulatory reporting

4

Fully offline operational mode continuous service without internet, on-premise, no cloud dependency

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