Problem
Turnaround time is a board-level logistics Operations Score, but many sites cannot measure it continuously from physical reality.
Business impact
Detention costs rise and carrier relationships suffer when waiting is invisible until invoices arrive.
Current approaches
- Gate logs
- Driver check-in apps
- WMS receipt timestamps
Why existing methods fail
- Gaps between systems
- No dwell breakdown by stage
- Disputes without video evidence
How AI solves it
- Detect arrival, dock assignment, loading, departure
- Break turnaround into waiting vs loading
- Attach evidence to each stage
With AnomaAI, detections become business events with evidence—so teams review what matters and leaders see outcomes, not camera walls.
Business outcomes
- Lower average waiting
- Fewer detention disputes
- Better appointment planning
Frequently Asked Questions
How is turnaround calculated?
Typically first arrival detection to departure detection, with stage splits for waiting and loading.
Related use cases
Next step
Ready to see this on your cameras? Book a demo or explore Warehouse AI demo.
