Delivery Prediction
Welcome back to DashQ workspace.
Cargofy ETA-Predict v3.2
AI-powered delivery time prediction
Every active shipment is scored using live traffic patterns, weather conditions, courier historicalperformance, and warehouse load — surfacing at-risk deliveries before they miss their SLA window.
Model accuracy
94.2%
Last retrained
01 Jul 2026
1,248
Predictions Today94.2%
Model Accuracy27
High-Risk Flagged89.4%
Avg. Confidence Score| Shipment | Route | Predicted Window | Confidence | Risk Level | Recommended Action | Actions |
|---|---|---|---|---|---|---|
SHP-2026-10432
Ritika Sharma
|
Mumbai Jaipur | 15 Jul, 4:15 - 6:30 PM |
|
Low | No action needed | |
SHP-2026-10431
Aman Verma
|
Delhi NCR Lucknow | 13 Jul, 6:45 - 8:15 PM |
|
Medium | Monitor for hub congestion | |
SHP-2026-10427
Karan Mehta
|
Ahmedabad Surat | 14 Jul, 2:00 - 5:00 PM |
|
High | Reassign courier or notify customer | |
SHP-2026-10424
Sneha Iyer
|
Chennai Hyderabad | 14 Jul, 5:30 - 6:45 PM |
|
Low | No action needed | |
SHP-2026-10421
Vikram Singh
|
Pune Nagpur | 16 Jul, 3:00 - 5:30 PM |
|
Medium | Confirm loading access at hub | |
SHP-2026-10415
Farhan Sheikh
|
Surat Indore | 14 Jul, 1:30 - 3:00 PM |
|
Low | No action needed | |
SHP-2026-10409
Rohan Kulkarni
|
Jaipur Udaipur | 13 Jul, 5:00 - 6:30 PM |
|
Low | No action needed | |
SHP-2026-10406
Divya Reddy
|
Hyderabad Vijayawada | 14 Jul, 6:00 - 8:00 PM |
|
Medium | Prioritize picking to avoid SLA breach |
