AI Damage Detection: photo evidence at every pickup and delivery
“That damage was there before we loaded.” “No, you caused it.” This argument happens every month — and without photo evidence neither side wins.
AI visual inspection eliminates disputes by recording the condition of the vehicle and cargo at every pickup and delivery.
Two use cases for AI damage detection
1. Fleet vehicle inspection
Every day before departure and after return, the driver photographs the vehicle with the mobile app. AI compares it with the previous inspection and identifies new damage:
Vehicle inspection BA-123AB — 03.05.2026 07:12
Comparison with previous inspection (02.05.2026 19:45):
✅ Front: no changes
✅ Rear: no changes
❌ Right side (detail): NEW DAMAGE
Type: Scratch — approx. 35 cm long, rear fender
GPS at last stop: Distribution Center Senec (car park)
Photo added to vehicle record
Driver Peter Novák notified. Report sent to fleet manager.
Insurance claim: [Open case] [Mark as pre-existing]2. Cargo condition documentation
At loading, AI photo-documents the condition of the goods. At unloading, the customer or driver photographs again and AI compares:
Job Z-2245 — METALCHEM → KOVOSPOL
Loading (Trnava, 08:45):
Pallet P-1: 12× carton — condition OK ✅
Pallet P-2: 8× carton — condition OK ✅
Unloading (Žilina, 13:52):
Pallet P-1: condition OK ✅
Pallet P-2: ❌ DAMAGE
Carton #3: wet corner, possible damage to contents
Photo recorded with timestamp and GPS
Customer signed confirmation noting damage.
CMR document updated automatically.Integration with insurers and finance
Every documented vehicle damage creates a structured record:
- Before/after photos with AI annotation
- Timestamp, GPS location, link to the job
- Full damage history of the vehicle
When filing an insurance claim, you export the complete photo dossier with one click. The insurer has all the evidence — disputes shrink from weeks to days.
