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Fraud Prevention and Brand Protection System for Unicrew
  1. case
  2. Fraud Prevention and Brand Protection System for Unicrew

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Fraud Prevention and Brand Protection System for Unicrew

artelogic.net
Human Resources

Fraudulent Activities Targeting Unicrew Brand

Unicrew has experienced a surge in fraudulent activities, specifically in India, where individuals are falsely representing themselves as Unicrew representatives and conducting misleading hiring campaigns. These campaigns involve charging training fees to individuals who believe they are enrolling in legitimate Unicrew programs. This is damaging Unicrew's brand reputation and creating financial harm for potential candidates.

About the Client

Unicrew is a provider of HR solutions, including recruitment and training services. They operate in multiple regions and manage a significant volume of candidate data and training programs.

Project Goals

  • Reduce instances of brand impersonation and fraudulent hiring campaigns.
  • Protect potential candidates from financial scams.
  • Enhance brand reputation and maintain customer trust.
  • Develop a system for proactively identifying and mitigating fraudulent activities.
  • Improve brand awareness and educate the public about fraudulent activities targeting Unicrew.

Core System Functionalities

  • Fraudulent campaign detection and monitoring.
  • Reporting mechanism for users to report suspicious activities.
  • Automated alerts for potential brand impersonation.
  • Content moderation and verification tools.
  • Public awareness campaign platform (website/social media integration).
  • Communication tools to warn the public about fraudulent schemes.

Technology Preferences

Cloud-based platform (AWS, Azure, or Google Cloud).
API integrations with social media platforms.
Data analytics and machine learning for fraud detection.
Secure database for storing reporting data.

External System Integrations

  • Social media APIs (Facebook, LinkedIn, Twitter).
  • Email marketing platform for public awareness campaigns.
  • Potentially integration with existing customer support systems for reporting.

Non-Functional Requirements

  • High availability and scalability.
  • Robust security measures to protect user data.
  • Compliance with data privacy regulations (GDPR, CCPA).
  • User-friendly interface for reporting and monitoring.

Expected Business Impact

This project will significantly reduce financial and reputational damage to Unicrew. By proactively combating fraud and protecting potential candidates, Unicrew will strengthen its brand image, enhance customer trust, and avoid legal and financial repercussions. A robust system will also improve the efficiency of fraud detection and response efforts, allowing Unicrew to allocate resources more effectively. The improved brand protection will contribute to sustainable business growth.

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