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Powering smarter fraud detection using robotic process automation (RPA)

Industry:Retail

Category:Data Analytics, Software Development, AI Development

Powering smarter fraud detection using robotic process automation (RPA)

About the case

iMobile is a powerful solution designed to simplify complex data processing and bring accuracy in detecting fraudulent transactions. It automates data pipelines, verifies phone statuses, and flags suspicious transactions. This automated fraud detection solution helps businesses ensure their transactional data is clean and secure, while reducing manual effort and errors.

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.

The challenge: Tackling the data chaos
GOFAI-powered fraud engine: What worked?

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.hello

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