Operations Dashboard
Live KPIs across fleets and sites. Filter by site and time range to track uptime, throughput, alerts, missions, energy, and downtime avoided.
98.1%
Uptime
188
Throughput (picks/hr)
4
Alerts (last 24h)
122h
MTBF
4,374
Missions
$29.1k
Downtime $ Avoided
Throughput Trend
Recent Alerts
- Congestion spike at Aisle 12 — rerouted 3 AMRs.
- Battery abuse on Unit AMR-17 — charge window scheduled.
- Queue time > 12m at Dock 3 — reprioritized missions.
- Blocked corridor near Packing — technician dispatched.
Fleet Health Overview
Reno DC
92% active
⚠ 2 idle AMRs
Dallas DC
100% active
All nominal
Munich Plant
86% active
🚫 1 Tug offline
Mission Efficiency
7.8m
Avg Mission Duration
6.2m
Avg Queue Time
96.3%
Mission Success Rate
Anomaly Breakdown
Battery
↑ queue in Zone C; SOC variance +8%
Navigation
Congestion spikes at Aisle 12
Connectivity
Improving after AP tune
Energy & Resource Efficiency
3,420 kWh
Energy (last 7d)
−12%
Idle Fuel Burn vs Baseline
4.6 tCO₂e
Estimated CO₂ Avoided
Predictive Maintenance Timeline
Upcoming service windows & predicted risks
Scheduled
At-risk
High-risk
Integration Health
WMS API — OK
Sync lag: 4.2s
CMMS — OK
Last ingest: 1m ago
ERP — Degraded
Retrying (29s)
Telemetry — OK
Robots reporting: 148/148
Site Comparison
| Site | Uptime | Throughput | Alerts | Downtime $ |
|---|---|---|---|---|
| Reno DC | 98.6% | 206 | 3 | $11.2k |
| Dallas DC | 99.4% | 214 | 2 | $9.7k |
| Munich Plant | 96.9% | 178 | 5 | $8.2k |
AI Explainability (Today)
- Tire temp anomaly on Yard Truck 04. Why: temp +11°C vs baseline, speed variance high in Zone B, recent curbs.
- Battery abuse on AMR-17. Why: SOC swing > 30% in < 2h, repeated short charges.
- Navigation slowdowns at Aisle 12. Why: congestion + human priority traffic.
Downtime Prevented
$29.1k
This week vs baseline
Operator Hours Saved
142h
Estimated
Energy Cost Savings
$3.2k
Charge windows + idle control