Process Steps
01
Capture
Team takes photos using the mobile app at point of removal.
→
02
Identify
AI identifies item type, condition, and fills database record.
→
03
Curate
User tweaks fields (refurb needed, disposition) and submits.
System Flow
Loading diagram...
Key Features
AI-Powered Recognition
Automatic product identification from photos using machine learning models trained on furniture datasets.
Condition Scoring
Standardized 1-5 condition grading with AI assistance and visual evidence capture.
QR/RFID Tagging
Link physical tags to digital records for easy scanning and tracking.
Offline Capable
Continue capturing assets without connectivity, sync when back online.
Application Screens
1
Home Dashboard
Overview of recent activity and quick actions
2
Location Selector
Hierarchical site/building/floor/zone picker
3
Camera Capture
Multi-photo capture with guidelines
4
AI Review
Review and edit AI-suggested fields
5
Confirmation
Final review before submission
Benefits
- 80% reduction in data entry time
- Consistent condition grading across teams
- Complete photo documentation for every asset
- Real-time inventory visibility