Case Study: a European e-commerce client achieves safer, more efficient content moderation with Amzur Technologies' AI-powered auto-moderation solution

a e-commerce client from Europe achieves 94% precision with Amzur Technologies

An e-commerce client from Europe approached Amzur Technologies with a challenge: managing a high volume of toxic, profane, and spammy user-generated content on their forums and reviews. This required immense manual effort from moderators and posed security risks from hacking and the exposure of personal identifiable information (PII).

Amzur Technologies developed a solution using NLP pipelines and machine learning models trained on flagged data and public datasets. The system included customized rule-based algorithms to detect PII and blacklisted items, achieving 94% prediction precision and an 80% true positive rate. This auto-moderation solution significantly reduced manual effort, improved data security, and a complimentary database migration to PostgreSQL helped lower hosting costs for the client.