Automation for accident reports processing

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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.

Robotic Process Automation(UiPath) technology was identified and implemented for automating the data entry processing. Identified the behavior,

TAT achievement increased from 85% to 100%. Audit % reduced from 100% to 16-30% Handled 1500 records daily with consistent Quality achievement which was

Processing time taken for each image was 210 secs which was affecting the delivery and TAT.

tenure, past performance and attendance-based logic. Basis the type of data an AI/ML Classifier was built

above the client’s benchmark 99.50% Processing cost reduction by 50%.

The process had 100% audit allocation which almost costed 50-60% of the

through Python which supported in classification. For attaining the best quality,

Per image handling time reduced from 210 secs to 40 seconds per image.

processing cost, so with higher volumes, 100% audit was a challenge, and random method affected the

data annotation and OCR was applied for machine learning and extracting data from pdf. Multi threading programming

quality target which was 99.5%.

construct was used which reduced the overall execution time.

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.


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