Intugine's ETA Prediction API uses live GPS data, 30M+ historical trips, and real-time halt intelligence to compute dynamic ETAs that recalculate as the trip progresses — giving control towers, shippers, and receivers accurate arrival windows, not guesses.
How It Works
``` Live Position + Historical Lane TAT + Halt Type + Traffic Pattern ↓ Dynamic ETA Recalculation Engine ↓ Confidence-Banded Arrival Window + TAT Breach Flag ```
API Capabilities
| Endpoint | What It Does | |---|---| | `/eta/trip/{id}` | Live ETA with confidence band for active trip | | `/eta/breach/{id}` | TAT breach probability + delay reason | | `/eta/lane` | Historical TAT distribution for a lane | | `/eta/halt-classify` | Classifies current halt type and expected duration |
Frequently Asked Questions
How does Intugine's ETA prediction API work? It uses real-time GPS position, historical lane TAT from 30M+ trips, live halt patterns, vehicle type, and time-of-day traffic data to compute a dynamic arrival estimate that recalculates continuously. Unlike map-based ETAs, it accounts for actual driver behavior and real-time anomalies.
What data does Intugine use to predict freight ETA? Five inputs: live GPS position and speed, historical TAT for the specific lane and vehicle class, current halt duration and type, day/time traffic patterns, and weather flags. Output is a confidence-banded ETA window — not a single point estimate.
What is TAT Breach API in logistics? TAT Breach API monitors active trips against their SLA and alerts when a trip is projected to miss its ETA window. Returns breach probability, projected delay in hours, breach reason (halt/deviation/traffic/weather), and recommended action for proactive customer communication.
Can Intugine ETA API detect halts and delays in transit? Yes. Every halt is classified as planned (fuel, rest), unplanned (breakdown, roadblock), or exception (route deviation). Halt duration and type feed back into ETA recalculation in real time — a 4-hour unplanned halt immediately updates the arrival window and triggers breach flags.
How accurate is Intugine's ETA prediction for Indian road freight? On instrumented fleets, median accuracy is within 2–3 hours for highway trips over 400 km. Accuracy is highest on high-density lanes with rich historical trip data. Sparse lanes use conservative estimates with wider confidence bands.
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Frequently Asked Questions
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