The challenge
At Bolsenbroek, appraisers spent a lot of time on administrative tasks related to processing vehicle photos. The manual process involved:
- Manually sorting incoming vehicle photos per case file
- Identifying and entering license plates and chassis numbers
- Looking up vehicle details such as make, model, and year of manufacture
- Linking the correct photos to the correct case files in the system
This process took an average of 5-7 extra minutes per appraisal -- time that could be better spent on the actual damage assessment.
Our solution
The results
The implementation of the AI-driven intake module delivered immediately significant improvements:
+8%
faster process
5 min
saved per appraisal
100+
hours saved per year
99%
recognition accuracy
"Met onze AI-gedreven inname module worden voertuigfoto's automatisch herkend, gesorteerd en verrijkt met kerngegevens zoals chassisnummer, kenteken en merk/type. Dat levert gemiddeld 5 minuten tijdwinst per taxatie op – een versnelling van ruim 8% van het totale proces. Op jaarbasis scheelt dat honderden uren werk en aanzienlijke kosten, terwijl we meer dossiers in minder tijd kunnen afhandelen."Danny van Dalen, Director Bolsenbroek
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