Powering smarter fraud detection using robotic process automation (RPA)
About iMobile
The challenge: Tackling the data chaos
We built a simple engine to filter through transactions and spot any fraud or mistakes, giving us a clear view of everything at once.
Managing discrepancies across multiple portals
Matching transaction dates and identifiers
Handling massive files manually
Reducing fraud detection errors
Processing commission files with speed
Delivering accurate, easy-to-read reports
GOFAI-powered fraud engine: what worked?
We built a solution that let businesses see both a big-picture view and detailed insights of all their stores. It stored and analyzed the data to spot frauds and mistakes. Plus, it created commission reports with 97% accuracy, helping us save our clients massive amount of money.
Automated data ingestion and warehousing
Used RPA for fraud prevention
Flagged fraudulent transactions and discrepancies
Designed a dashboard for quick actions
Enabled VoIP-based phone verification
The measurable impact
Money saved in fraud prevention
7x faster processing of large data sets
3x accuracy improvement in transaction analysis
Reduced manual errors and oversight
Automated report generated combining multiple systems via RPA
This case study highlights how AtliQ Technologies helped iMobile build an efficient and automated fraud detection solution to improve accuracy, reduce risks, and save significant time and money.
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