Automation for accident reports processing

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AUTOMATION FOR ACCIDENT REPORTS PROCESSING
www.fivesdigital.com
ABOUT THE CLIENT The client is a commercial web-
based service that supplies vehicle history
reports to individuals and businesses on used
cars and l ight t rucks for American and Canadian
consumers.
Challenges
Solution Robotic Process Automation(UiPath) techno
logy was identified and implemented
for automating the data entry processing. Identif
ied 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.
Result 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 clients benchmark 99.50 Processing cost
reduction by 50. Per image handling
time reduced from 210 secs to 40 seconds per
image.
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.
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.