Inventory Drones (Indoor)
Cycle-count faster and reduce shrink with vision-assisted drone scans that sync to WMS—complete with explainability and audit trail.
Common challenges
Industry pain points
- Slow cycle counts; periodic blind spots in high bays.
- Inconsistent scans and manual reconciliation.
- Unsafe ladders/lifts for audit checks.
- No link between drone scans and WMS discrepancies.
-60%
Count time
+3.2%
Accuracy
-45%
Manual touches
Scan coverage heat (placeholder)
Data fabric
Signals we ingest
- Drone flight logs, shelf vision/OCR, barcode/RFID reads.
- Beacon triangulation/anchors, aisle maps.
- WMS: item master, locations, exceptions, cycle-count tasks.
Connect & deploy
- Vision → SKU mapping with confidence and saliency.
- Cloud or edge; secure WMS connectors.
Closed-loop ops
Actions & automations
- Auto-create rescan tasks for low-confidence detections.
- Flag WMS mismatch; attach evidence stills/clip.
- Safe-fly geofences; route planning by aisle and height.
Explainability example
Mismatch at Aisle 7 / Bay H. Why: OCR “SK123” confidence 0.61 vs WMS “SK128”. Action: rescan task + supervisor review with evidence.
Saliency bars (placeholder)
Modeled impact
Business impact
- Higher inventory accuracy with fewer safety risks.
- Faster cycle counts and reconciliation.
- Audit-ready trail with explainability.
+2–5%
Fill-rate
-30–60%
Count time
-40%
Shrink drivers
Live simulation (illustrative)
142
Bays scanned
12
Rescans
3
Exceptions
Coverage trend (placeholder)