AI-Powered Email Spam and Submission Relevance Filter

Using AI to Reduce Spam Submissions by 80% and Lower Manual Review Workload.

About the Client

A digital-first Ecommerce business that operates a service-based website, receiving hundreds of user-submitted entries each week through contact forms and user registration pages. The client was struggling with irrelevant inquiries, spam form fills, and fake customer signups—wasting support team time and polluting backend databases.

Why the Client Chose Us / Client’s Requirements

Client was receiving hundreds of user-submitted entries each week through contact forms and user registration pages. The client was struggling with irrelevant inquiries, spam form fills, and fake customer signups—wasting support team time and polluting backend databases.

The client required a solution that could intelligently filter out spam and irrelevant content without introducing friction to legitimate users. Manual moderation was proving inefficient and error-prone. The core requirements were:

  • Automated detection and rejection of irrelevant form submissions
  • Real-time moderation of customer registrations to flag suspicious accounts
  • Improved data integrity and user experience
  • Integration with existing backend systems for seamless validation

They chose us for our ability to implement custom AI workflows using OpenAI's language models, and our track record of building secure and scalable backend solutions.

What We Developed / Features

We built and deployed an AI-enhanced form moderation system integrated with OpenAI and custom backend logic. The system included:

AI-Powered Semantic Filtering for Business Enquiries

  • Evaluated content using OpenAI models to check for relevance, tone, and language patterns
  • Detected spam signals (e.g., promotional links, gibberish text, irrelevant keywords)
  • Flagged or auto-rejected invalid entries

Multi-Layered Customer Registration Validation

  • Name plausibility check using AI-inferred patterns
  • Email verification via OTP and domain analysis to block disposable addresses
  • Phone-IP matching to identify regional mismatches or proxy use

Automated Moderation and Scoring System

  • Submissions classified into: Valid, Suspicious, or Spam
  • Automated workflows for activation, flagging, or rejection
  • Dashboard for manual review of edge cases

Challenges

  • Designing a semantic filter that accurately understands context across different business domains
  • Balancing strict validation with user experience to avoid false positives
  • Ensuring real-time performance under varying form submission loads
  • Integrating OpenAI inference logic with backend workflows while maintaining privacy and latency standards

Delivered Product

  • Fully integrated spam and relevance filter using OpenAI’s GPT models
  • A backend metrics dashboard to monitor spam trends and false positives
  • Real-time validation engine for customer registration across multiple fields
  • Seamless user experience with minimal disruption to valid users
  • Automated moderation panel with scoring logic and human override

Outcome & Benefits

80%

reduction in spam entries

60–70%

reduction in manual support team

100%

Improved registration legitimacy

Conclusion

By integrating AI into their submission validation pipeline, the client achieved:

  • 80% reduction in spam form entries with 60-70% manpower cost saving
  • Cleaner, verified registration database
  • Improved support team efficiency through automation
  • Higher customer trust and engagement

The AI solution effectively transformed a high-friction, error-prone manual process into a scalable, intelligent moderation system—improving productivity, cost-efficiency, and data quality.

Bonus: Key Operational Metrics We Helped Track

  • Category Metrics Tracked
  • Volume Metrics Total submissions, fake submission ratios (contact & registration forms)
  • Spam Indicators % of disposable emails, flagged IPs, repeated submissions, gibberish content
  • Behavioral Patterns Bots (multiple submissions/second), promo links, mismatched geolocation
  • Engagement Signals Registrations without engagement, bounce after signup, unconfirmed emails

These insights enabled the client to continuously improve submission quality and react swiftly to evolving spam techniques.