AI · E-commerce · Moderation
AI-powered email spam & submission relevance filter.
80%
Reduction in spam form entries
60–70%
Reduction in manual support workload
100%
Improved registration legitimacy
Real-time
Validation across multiple fields
About the client
Drowning in spam, fake signups, and irrelevant inquiries.
A digital-first e-commerce business operating a service-based website received hundreds of user-submitted entries each week through contact forms and registration pages.
Irrelevant inquiries, spam form fills, and fake customer signups were wasting support-team time and polluting backend databases.
High submission volume, low signal.
Intelligent classification, minimal user friction.
The requirement
Filter spam intelligently — without friction for real users.
Manual moderation was inefficient and error-prone. The client needed automated detection and rejection of irrelevant submissions, real-time moderation to flag suspicious accounts, improved data integrity, and seamless integration with existing backend systems.
They chose OST for our ability to implement custom AI workflows using OpenAI's language models, backed by secure, scalable backend engineering.
What we developed
An AI-enhanced form moderation system.
We built and deployed an AI-enhanced form moderation system integrated with OpenAI and custom backend logic, combining semantic filtering, multi-layered registration validation, and an automated scoring workflow.
Submissions are classified as Valid, Suspicious, or Spam, with automated workflows for activation, flagging, or rejection — and a dashboard for manual review of edge cases.
A featured deliverable
AI-powered semantic filtering
A featured deliverable
OpenAI models evaluate each submission for relevance, tone, and language patterns, detecting spam signals like promotional links, gibberish, and irrelevant keywords — then flagging or auto-rejecting invalid entries.
Outcome & benefits
From high-friction manual review to intelligent automation.
By integrating AI into their submission pipeline, the client transformed an error-prone manual process into a scalable, intelligent moderation system.
Key operational metrics we helped track.
Beyond filtering, we surfaced the signals the client needed to continuously improve submission quality and react to evolving spam techniques.
- 80% reduction in spam form entries
- 60–70% lower manual review workload
- Cleaner, verified registration database
- Improved support efficiency through automation
- Higher customer trust and engagement
- Human override retained for edge cases
Tech stack
What's under the hood.
Spam and fake signups eating your team's time?
We build AI moderation that filters the noise and keeps your data clean — without adding friction for real customers.