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Monitor anomalous user behaviors, such as frequent returns or failed payment attempts, automatically blocking fraudulent accounts.

AI Solution Type: AI Agent that does not include a chatbot (it is possible to integrate a conversational interface or AI chatbot, if required)

Traditional Process: Detecting fraudulent accounts on e-commerce platforms often relies on simple rules, such as return limits or failed payment attempts. This approach, although effective in certain cases, is incapable of capturing complex patterns and tends to generate false positives, affecting legitimate users and creating frustration.

Application of AI for Identifying Suspicious Accounts:

1. Continuous activity monitoring: An AI system analyzes user interactions on the platform in real-time, including frequent returns, failed payment attempts, unusual purchase patterns, and behaviors atypical compared to similar profiles.
2. Anomaly detection: Through advanced Machine Learning models, the system identifies behaviors that deviate from the norm, such as activity patterns associated with fraudulent accounts.
3. Risk classification: Each account is evaluated based on its risk level, using a score that considers factors like frequency of suspicious activity, account history, and correlations with other incidents.
4. Automatic blocking and notification: Accounts with a high-risk score are automatically blocked, while others with moderate risk generate alerts for manual review. Affected users are notified with a clear message and an option to appeal if the action was incorrect.
5. Optimization based on feedback: Manual reviews and blocking results feed back into the model, continuously improving its accuracy and reducing false positives.

Benefits:

• Decrease in fraud: Proactive identification of fraudulent accounts significantly reduces economic losses and protects legitimate users.
• Improved customer experience: By minimizing interaction with fraudulent accounts, the platform creates a safer and more reliable environment for customers.
• Operational efficiency: Automating the analysis and blocking of accounts allows the support team to focus on more complex and strategic cases.
• Adaptability and continuous improvement: The system learns from emerging patterns, quickly adapting to new tactics used by malicious actors.

Conclusion: Identifying suspicious accounts using AI is an essential solution for e-commerce platforms seeking to protect their operations and provide a secure user experience. With constant monitoring and the ability to adapt to new threats, this technology not only reduces fraud but also strengthens customer trust in the platform, driving business growth.