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LIVE TRACKING API

Real-time fleet visibility. Predictive ETAs. Zero blind spots.

GPS-powered vehicle tracking with ML-driven ETA predictions, geofence automation, and customer-facing tracking pages, all via a single API.

The Problem

When you can't track in real time, you're always reacting.

Vehicle FL-2207 · location feed30–60 min refresh
actual positionLast updated 47 min ago
Reported vs. true position1.8 km off
Delivery ETA · Order #4821Static · ignores traffic
At dispatch3:00 PM
Actual · traffic4:20 PM
Promised vs. delivered+1h 20m late
CX Inbox · liveWISMO today ▲
Call“Where’s my order? #4821”No link
Email“Parcel still isn’t here??”No link
Call“Has the ETA changed again?”3rd contact
Email“Need it before 5 PM today”No link
Call“Driver never called me”Reopened
No tracking link · every query handled manually+38%

From periodic updates → to real-time intelligence on every vehicle.

The Solution

Real-time tracking infrastructure

Shipsy's live tracking API powers real-time visibility across your fleet with predictive intelligence and customer-facing interfaces.

GPS Fleet Tracking
Fleet Tracking· Control Tower15s refresh
Active fleet4 vehicles
JM
Jake Miller
VH-1 · Downtown
34 mphOn route
EC
Emma Carter
VH-2 · Midtown
0 mphAt stop
CF
Cody Fisher
VH-3 · Eastgate
41 mphOn route
SD
Sarah Delgado
VH-4 · Harbor
28 mphOn route
Predictive ETA· ML EngineLive model
JM
Jake Miller
VH-1 · 3.2 mi
En route
Arrival predictionupdated 15s ago
Static estimate
4:42PM
Shipsy predicted
4:29PM
13 min earlier · high confidence
4 signals · 96% confidence
9:41
Live tracking
Order #TRK-4471 · on the way
JD
Arriving in
12 min
JM
Jake MillerVH-1 · ★4.9
Live · 2 stops away · 1.2 km

POWERED BY AGENTFLEET

Live tracking, amplified by AI agents.

Ops Agent converts real-time location into dynamic route adjustments. CX Agent proactively updates customers on ETAs and delays. CT Agent detects exceptions and alerts teams the moment they happen.

Learn about AgentFleet →
Ops Agent

Route optimisation · Navigation · Stop sequencing

Ops Agent
Signal
Jurong West overloaded — 5 routes at risk
Ops Agent
Detects the imbalance
Ops Agent
Rebalances 5 sub-zones
Ops Agent
Reallocates pickups to a nearby vehicle
Done
Hub notified · capacity restored

Proven Results

The results enterprises see

15sec
Location refresh rate
Near real-time fleet visibility
95%+
ETA accuracy
ML-powered arrival predictions
70%
WISMO reduction
Customer self-service tracking
40%
Exception response time improvement
Real-time detection and alerting
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Case Study

A Fortune 100 conglomerate cut incidental logistics costs 80% and saved 65% in person-hours

Fortune 100 Conglomerate · Retail · Shipment Tracking

80% reduction in incidental logistics costs 65% savings in person-hours across freight operations
Read the case study

FAQ

Common questions

What hardware does the tracking API work with?

The API works with existing GPS hardware, OBD-II devices, driver smartphones, and IoT sensors. No proprietary hardware required.

How accurate are predictive ETAs?

ML models achieve 95%+ accuracy by combining real-time location, traffic data, historical patterns, and route-specific factors. ETAs update continuously as conditions change.

Can we white-label the customer tracking page?

Yes. Tracking pages are fully brandable with your logo, colours, and messaging. They can be embedded in your website or shared via link.

What geofence triggers are available?

Configurable geofences trigger automated actions including arrival notifications, ePOD prompts, status updates, and custom webhooks, based on vehicle proximity to any defined location.

Act on decisions.
Amplify outcomes.

Logistics is too critical for reactive systems. The world’s leading enterprises are amplifying their teams with AI that acts, so their people can focus on what matters most.

Talk to Shipsy