Supply Chain Control Tower Dashboard: What to Track & Why
A control tower dashboard is the operational nerve centre of your supply chain. But most dashboards show too much noise and not enough signal — leaving operations teams overwhelmed rather than empowered.
This guide covers what a high-impact control tower dashboard actually tracks, how to design for action (not just visibility), and what separates a modern AI-powered dashboard from a traditional tracking screen.
The 12 Metrics Every Control Tower Dashboard Must Show
Real-Time Shipment Metrics
1. Shipments In Transit Total active shipments, broken down by carrier, lane, and SLA status.2. On-Time vs At-Risk vs Breached Traffic-light segmentation: green (on track), amber (at risk, within 3–4 hours of breach), red (SLA breached).
3. Open Exceptions by Type Live count of unresolved exceptions by type (halt, deviation, tracking gap, ETA breach, compliance).
4. Exception Resolution Rate What % of exceptions raised today have been resolved? Falling rate = team is getting overwhelmed.
Operational Performance Metrics
5. Average ETA Accuracy For completed trips: how accurate were predicted ETAs vs actual arrival?6. Halt Frequency by Corridor Which lanes are generating the most halt exceptions? A spike often precedes a carrier or infrastructure problem.
7. Active Driver Communication Status For open exceptions: drivers reached, pending contact, unreachable. In an AI control tower, Vedika call outcomes show in real time.
8. Detention Time (Live) Vehicles at origin, hub, or destination beyond the free time window.
Carrier Performance Metrics
9. OTP by Carrier (Today vs 30-Day Avg) Is today's on-time performance for each carrier above or below their rolling average?10. Exception Rate by Carrier Which carriers are generating the most exceptions per trip?
11. Response Rate (Driver Contact) For each carrier: what % of exception calls result in driver response within 30 minutes?
Strategic Metrics
12. SLA Breach Trend (7-Day) Not just today's breach count — the direction of travel. Rising trend = systemic problem developing.Dashboard Design Principles That Actually Work
1. Action over information Every metric on the dashboard should drive a decision or action. If a number doesn't change what your team does, remove it.
2. Exception-first layout Put the exception summary front and centre — not the total shipment count, not the map.
3. Role-based views The dispatcher needs trip-level detail. The operations manager needs exception patterns. The VP needs SLA trend and carrier performance.
4. Mobile-ready Exceptions don't wait for desk time. Your ops lead needs to act from their phone at 11pm.
5. Drill-down capability Every metric should let you drill into the underlying trips, carriers, or lanes.
Where Traditional Dashboards Fail
Most logistics dashboards were built as reporting tools — they show you what happened. The failure modes:
The Cruise AI Control Tower Dashboard
Cruise's dashboard is built around the exception-first principle:
The goal is not to show you more data. It's to show you less — but make every number on the screen worth acting on.
Frequently Asked Questions
See the Cruise AI Control Tower dashboard live — book a 30-minute demo.
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