Warehousing & Fulfillment
Reduce congestion, raise picks/hour, and cut downtime across mixed-vendor AMRs, AGVs, conveyors, and docks—all from one command center.
Common challenges
Industry pain points
- Aisle congestion and dock queues slow mission throughput.
- Battery abuse / short-cycle charging drives fault storms.
- Mission retries and blocked corridors during peak waves.
- Multiple vendor dashboards = slow triage & response.
+8%
Picks / hour
-35%
Congestion dwell
$18.9k
Downtime avoided / mo
Throughput vs alerts overlay (placeholder)
Data fabric
Signals we ingest
- AMR/AGV telemetry: missions, faults, SOC, queue time.
- WMS / picking: wave starts, picks, slotting, put-wall status.
- Conveyors/PLC & dock doors; camera occlusion events.
Connect & deploy
- REST / MQTT / OPC UA • Cloud, Edge, or Hybrid.
- Explainable alerts + audit trail for post-incident review.
Closed-loop ops
Actions & automations
- Dynamic reroute around hot aisles and blocked corridors.
- Staggered charge windows to prevent abuse & brownouts.
- Camera sweep task when occlusion probability spikes.
- Queue rules at docks to stabilize mission latency.
Explainability example
Idle storm predicted in Aisle 12. Why: queue ↑, retries ↑, camera occlusions, dock queue > SLA. Action: reroute + throttle + sweep + charge window.
Saliency bars (placeholder)
Modeled impact
Business impact
- +6–12% throughput; -25–45% mission retries.
- Lower battery degradation & fewer unplanned stoppages.
- Faster recovery from peak-wave congestion.
+10%
Order lines / hr
-42%
Retries
$26.9k
Monthly ROI
Live simulation (illustrative)
98.9%
Uptime
192
Picks/hr
7
Alerts (24h)
Throughput trend (placeholder)