KAIOS®
Autonomous shelf auditing for store management.
The inventory in the management system does not always reflect what the shopper sees. KAIOS® analyzes the shelf and turns the detected gaps into incidents that the store team can review and use to organize restocking.
Project in testing phase.
- When
- Date and time of detection
- Where
- Aisle or recorded location
- What
- Barcode of the associated label
- Evidence
- Images to review the detected gap
01From route to incident
01 Patrol
Routes through aisles and zones defined on the store map.
02 Detect
Computer vision to locate product gaps on the shelf.
03 Identify
Association with the shelf label and reading of its barcode.
04 Record
Incident with location, time of detection and visual evidence.
02What each incident contains
- When
Date and time of detection
- Where
Aisle or recorded location
- What
Barcode of the associated label
- Evidence
Images to review the detected gap
03Operation and integration
Web interface
Map selection, route management, starting and stopping missions and consulting the log.
Data for the store
History filterable by date and aisle, CSV export and API access. Adaptation to the ERP is agreed with the store.
04Measurements and specifications
- Height
1,850 mm
- Diameter
450 mm
- Weight
20 kg
- Maximum speed
Up to 0.5 m/s
- Traction
Two drive wheels
- Battery
24 V / 10 Ah
- Autonomy
3.5 to 4 h
- Charging
Inductive, in 2.5 h
Autonomy depends on use.
05What to measure with KAIOS
Detection
Hits, false alerts and missed gaps.
Identification
Labels and codes correctly associated.
Coverage
Shelves reviewed and time per route.
Integration
Recording, export and reception of incidents.
Scope and acceptance thresholds agreed with the store before testing.