Tracking IA
Real-time visibility with AI-based ETA prediction
Track your shipments in real time with machine learning-powered ETA prediction, automatic anomaly detection, proactive alerts and multi-source data consolidation across carriers and modes.
Real-time multi-source tracking
Tracking IA aggregates GPS data from carrier telematics, mobile driver apps, and tracking partners (Project44, Shippeo, FourKites) into a unified real-time view. Each shipment shows current location, status, ETA, and any anomalies. The map view displays your entire fleet at once with filtering by route, carrier, customer or status.
- GPS aggregation from telematics, mobile apps and partners
- Unified map view of all shipments
- Filtering by route, carrier, customer, status
- Mobile-friendly interface for field operations
- Cross-mode tracking: road, rail, sea, air
ML-based ETA prediction
The ETA prediction model uses machine learning trained on millions of shipment history points. It accounts for traffic patterns, weather, driver hours-of-service, customs delays, and historical performance per corridor. The result: ETA accuracy within ±15 minutes for 85% of shipments, vs ±2 hours for traditional GPS-only ETA. Customers and warehouses can plan resource allocation precisely.
- ML model trained on millions of historical shipments
- ±15 min ETA accuracy on 85% of shipments
- Accounts for traffic, weather, HOS, customs
- Historical performance per corridor and per carrier
- Continuously self-learning model
Anomaly detection and proactive alerts
Tracking IA continuously analyzes the trajectory of each shipment to detect anomalies: unexpected stops, delays, route deviations, temperature excursions (for refrigerated transport), GPS signal loss. When detected, customizable alerts are pushed via email, SMS, Slack or webhook to dispatch, customer, or driver. Issues are surfaced before they become customer complaints.
- Real-time anomaly detection (delays, deviations, stops)
- Temperature monitoring for cold chain
- GPS signal loss detection
- Customizable alerts via email, SMS, Slack, webhook
- Proactive customer notifications
Key benefits
Real-time visibility across all shipments
ETA accuracy within ±15 min for 85% of shipments
Multi-source aggregation (telematics, apps, partners)
Anomaly detection with customizable alerts
Cross-mode tracking: road, rail, sea, air
−60% customer service tickets thanks to proactive notifications
Frequently asked questions about Tracking IA
Which telematics providers are supported?
Native integrations with Geotab, Verizon Connect, Webfleet, Trimble, Astrata, Quartix, and 50+ other telematics providers. Also direct connection to Project44, Shippeo and FourKites visibility platforms.
How accurate is the ETA prediction?
Average accuracy is ±15 minutes on 85% of shipments. The model accounts for traffic, weather, driver hours-of-service, customs and historical performance per corridor.
Can drivers report status from a mobile app?
Yes. The SYMPHONI.A driver app (iOS/Android) lets drivers report status (loading, in transit, delivered) and capture proof of delivery (photos, signature). Used as fallback when no telematics is available.
How do anomaly alerts work?
You configure alert rules per shipment type (e.g. "alert if delay > 30 min" or "alert if temperature < 2°C"). Alerts are pushed via email, SMS, Slack or webhook to the right people.
Does it support cold chain monitoring?
Yes. Tracking IA integrates with refrigerated trailer telematics (ThermoKing, Carrier, Lamberet) to monitor temperature in real time and alert on excursions.
Can I share tracking with end customers?
Yes, via the Recipient Portal (white-label option available). Customers see real-time tracking, ETA, and receive proactive notifications without needing a SYMPHONI.A account.
Ready to activate Tracking IA?
30-minute custom demo. See it in action on your operations.
Book a free demo