Automation for accident reports processing

1. www.fivesdigital.com AUTOMATION FOR ACCIDENT REPORTS PROCESSING ABOUT THE CLIENT The client is a commercial web-based service that supplies vehicle history reports to individuals and businesses on used cars and light trucks for American and Canadian consumers. Challenges Solution Result Manual data entry processing required human resource which was a challenge due to conditions arising during Covid, and due to this TAT achievement went down. Processing time taken for each image was 210 secs which was affecting the delivery and TAT. The process had 100% audit allocation which almost costed 50-60% of the processing cost, so with higher volumes, 100% audit was a challenge, and random method affected the quality target which was 99.5%. Robotic Process Automation(UiPath) technology was identified and implemented for automating the data entry processing. Identified the behavior, tenure, past performance and attendance-based logic. Basis the type of data an AI/ML Classifier was built through Python which supported in classification. For attaining the best quality, data annotation and OCR was applied for machine learning and extracting data from pdf. Multi threading programming construct was used which reduced the overall execution time. TAT achievement increased from 85% to 100%. Audit % reduced from 100% to 16-30% Handled 1500 records daily with consistent Quality achievement which was above the client’s benchmark 99.50% Processing cost reduction by 50%. Per image handling time reduced from 210 secs to 40 seconds per image. Fives Digital is an impact sourcing business process management company based out of India, with global clientele. With over 3000+ team members across our 7 delivery centers in India, we are operational in tier 23 towns across India.