Know before your carrier does.

Orderly Intelligence predicts delivery windows, late shipments, and stalled freight from live tracking data - so your team acts before customers write in.

Windows accurate to about two hours. And when we say a package will arrive within a window 8 times out of 10 - it does.

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41,287 predictions scored today
On time Late risk Stalled
Louisville, KY → Boise, ID
SAMPLE · UPS GROUND · 4.2 LB
ON TIME · 92%
Picked up · Louisville, KYMON 6:42 PM
Departed hub · Memphis, TNTUE 3:18 AM
In transit · Salt Lake City, UTTUE 9:51 AM
PREDICTED
Sort wave · Boise, ID 94%WED 4:10 AM
Out for delivery 91%THU 8:20 AM
DELIVERY WINDOW
Thursday, 2:10 – 4:20 PM
CONFIDENCE
80%
THU 10 AMPREDICTED ARRIVAL DISTRIBUTIONTHU 8 PM
8 of 10 packages land inside this window - measured, not promised.
Rescored 3s ago - on every tracking scan Graded when it delivers
±0 hours
Average delivery-time accuracy
0.0×
More accurate than the lane averages in your TMS
0%
Measured hit rate on an 80% promise
0M
Real shipments the models learned from
WHAT IT PREDICTS

Every question your ops team asks, answered early.

What's live is measured. What's coming is labeled. Click through ↓
Delivery windows AVAILABLE
Late-shipment warnings AVAILABLE
Stuck-package detection AVAILABLE
Exception detection AVAILABLE
Carrier recommendation IN DEVELOPMENT
Shipping cost prediction IN DEVELOPMENT
Warehouse congestion IN DEVELOPMENT
Labor forecasting IN DEVELOPMENT
Delivery windows
AVAILABLE

A calibrated arrival window on every shipment, rescored on every tracking scan. Honest by construction: when we quote 80% confidence, 81% of packages land inside.

±2h average error · 3.4× better than lane averages
LIVE EXAMPLES
SAMPLEArrives Thu 2:10–4:20 PM ON TIME · 92%
SAMPLEArrives Wed 11:40 AM–1:50 PM ON TIME · 95%
HOW IT WORKS

No rip-and-replace. No data-science team.

01 Connect
02 Learn
03 Predict

Send shipment and tracking events through a simple webhook or REST API - from any WMS, ERP, carrier platform, database, or spreadsheet.

Shopify, ShipStation, and EasyPost connect one-click through Orderly Hub (coming soon). Historical data imports in hours; predictions start the same day.

WMS ERP Carrier feeds CSV Webhooks Shopify · soon ShipStation · soon
POST /events
one API, in and out
ACCURACY

We grade our own homework.

Every prediction is stored and graded against the real outcome when the package delivers. These numbers come from that feedback loop - 374,000 predictions on three weeks of data the models had never seen.

LIVE VALIDATION

Tested on live shipments in transit: every on-time/late call was correct, and the delivery landed inside the window in nearly every case, including an overnight into rural California, called with 9 hours of lead time.

We predict delivery windows and late risk with calibrated confidence - we don't guarantee delivery times. That honesty is the product. Customer stories are coming; first enterprise deployment is in progress.

Average delivery-time error±2 hrs
ORDERLY INTELLIGENCE
LANE AVG · 6.5H
Calibration - the odds we quote are the odds you get81% on an 80% promise
PROMISED · 80%
MEASURED · 81%
Late-shipment warnings, flagged mid-transit3.7×
ORDERLY INTELLIGENCE
RULES OF THUMB
Stuck-package detection, 6–24h horizons90–97%
DISCRIMINATION
Explainable, self-grading AI
Every score shows its drivers, and every prediction is graded against the real outcome.
API-first architecture
Everything the product does is available over the one API you integrate.
Enterprise controls
Multi-tenant isolation, permissions, and audit logs on every prediction and action.
Secure infrastructure
Encryption in transit and at rest, built for global deployments.

Better decisions, before problems happen.

Bring your historical data in the morning. See your first predictions the same day.

Request demo See the accuracy numbers 
Built for enterprise e-commerce · 3PL & fulfillment · warehousing · retail · manufacturing · distribution · food & beverage · healthcare logistics