Sentinel
IoT Fleet Monitoring Platform
Real-time monitoring platform for logistics fleets across Europe. Processes 2M+ sensor events per day from 800+ connected vehicles, enabling predictive maintenance and proactive incident response.
800+
Vehicles Monitored
2M+
Daily Events
34%
Downtime Reduction
Context
A mid-size European logistics operator was flying blind across its 800-vehicle fleet — incident reports arrived hours after the fact, maintenance was reactive, and fuel cost overruns were untracked. Leadership needed operational visibility in real-time.
The Challenge
Vehicles traversed 12 countries with intermittent GSM coverage. Data came from 7 different sensor manufacturers with incompatible protocols, and the existing data warehouse was batch-only with 6-hour latency — far too slow for operational decisions.
The Solution
I designed and led the build of a unified edge-to-cloud IoT architecture. Each vehicle received a hardened gateway running a lightweight MQTT broker and custom firmware for protocol normalization. Events streamed to AWS IoT Core and landed in InfluxDB for real-time querying. A Grafana-based operations console gave dispatchers live dashboards per vehicle, per route, and per driver.
Methodology
- Edge-first architecture to handle poor connectivity
- Protocol abstraction layer to normalize heterogeneous sensor output
- Time-series data model optimized for write-heavy telemetry workloads
- Alert rules engine for threshold-based and anomaly-based incident detection
Impact
Deployed to full fleet within 4 months. Incident response time dropped from 6 hours to under 8 minutes. Predictive maintenance model (trained on the first 3 months of telemetry) enabled a 34% reduction in unplanned downtime.