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Examples of how Grouponova's fraud prevention systems have successfully detected and prevented fraudulent transactions
Grouponova Ecommerce MSME Seller Consumers

27/12/2023

Examples of how Grouponova's fraud prevention systems have successfully detected and prevented fraudulent transactions

Grouponova's fraud prevention systems have proven effective in detecting and preventing various types of fraudulent transactions. Here are a few examples:

 

Suspicious Transaction Patterns: Grouponova's real-time transaction monitoring system identified a series of suspicious transactions originating from a single IP address. Upon further investigation, it was discovered that these transactions were attempts to purchase high-value deals using stolen credit card information. Grouponova promptly blocked the transactions and notified the affected Consumers.

 

Velocity Check: Grouponova's velocity checks detected an unusually high number of transactions from a newly created account. This raised suspicion, and upon closer examination, it was found that the account was compromised and used for fraudulent purchases. Grouponova blocked the account and initiated an investigation to protect other users.

 

Geolocation Verification: Grouponova's geolocation verification feature identified a transaction where the user's location did not match their registered address. This triggered a fraud alert, and the transaction was flagged for review. It was later confirmed that the transaction was an attempt to make an unauthorized purchase using a stolen credit card.

 

Device Fingerprinting: Grouponova's device fingerprinting technology detected a user attempting to access their account from an unrecognized device. This raised suspicion, and upon further investigation, it was found that the user's account had been compromised. Grouponova promptly locked the account and notified the user to reset their password.

 

Risk Scoring: Grouponova's risk scoring system identified a transaction with a high-risk score due to a combination of factors, including the user's history, transaction details, and device information. The transaction was subjected to additional scrutiny, and it was later discovered that the user was attempting to make a fraudulent purchase using a stolen credit card.

 

These examples demonstrate the effectiveness of Grouponova's fraud prevention systems in detecting and preventing a wide range of fraudulent activities. By continuously monitoring transactions, analyzing user behavior, and employing advanced technologies, Grouponova safeguards its platform and protects Consumers from financial loss and identity theft.

Tags:

grouponova , marketplace , online shopping , e-retail , msme , seller , consumer , customer service , fraud prevention

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