Your Shipments Aren't Late.
You Just Can't See When They Stop
Hidden dwell time in rail logistics is costing grain exporters millions every year. We help you detect delays the moment they start.
The Real Problem Isn't Movement.
It's Visibility
Today's tracking systems are built on event-based updates, not continuous intelligence. This creates critical blind spots.
Checkpoint-Only Updates
You only see updates at fixed checkpoints. What happens between them remains invisible.
Reactive Operations
You discover delays only after they've already happened. Your team is constantly reacting.
No Continuous Intelligence
You don't lack data. You lack continuous, actionable intelligence across transitions.
What This Looks Like
in Real Operations
Unreliable Arrival Times
Rail schedules shift due to congestion, making it difficult to plan labor and loading.
Untracked Loading Completion
Loading takes 6–12 hours, but completion is not digitally tracked in real time.
Invisible Post-Loading Dwell
Once loaded, trains often sit idle. Average dwell: 15–20 hours, peak: up to 40+ hours.
"Ready to Move" vs "Actually Moving"
Your system tells you the train arrived and loaded. But it does NOT tell you when it should have departed, or when it's delayed after loading.
This gap creates a dangerous illusion of control.
Why This Is Costing You Millions
Per-railcar premium costs
Annual impact per exporter
Avg. post-loading dwell time
Peak dwell time recorded
Predictive, Continuous Tracking
Track your shipments seamlessly by integrating real-time APIs from leading ocean carriers.
Build a Digital Timeline
Each shipment is mapped with expected arrival, loading window, and expected departure.
Track What Actually Matters
Once loading is complete, a dwell timer starts automatically. The system predicts when the train should depart.
Detect Delays Instantly
If departure exceeds expected time, AI Agent flags the delay and alerts your team in real time.
Predict While in Transit
Dynamic ETAs are continuously updated using speed patterns (~21–22 mph), route conditions, and historical delay behavior.
Shipping lines we integrate with
Gives you full visibility
Build a Digital Timeline
Each shipment is mapped with expected arrival, loading window, and expected departure.
Track What Actually Matters
Once loading is complete, a dwell timer starts automatically. The system predicts when the train should depart.
Detect Delays Instantly
If departure exceeds expected time, AI Agent flags the delay and alerts your team in real time.
Predict While in Transit
Dynamic ETAs are continuously updated using speed patterns (~21–22 mph), route conditions, and historical delay behavior.
Railroad APIs & aggregators we connect with
