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ML based SaaS solution for students enrollment prediction

A machine-learning SaaS platform letting universities track enrollment and predict student enrollment likelihood from integrated warehouse and CRM data.

Software development.NET CoreAzure
ML based SaaS solution for students enrollment prediction

The challenge

The system had to integrate data warehouses while maintaining data integrity and accuracy, synchronize with Salesforce despite continuously updating table schemas, and handle complex data management requirements across institutions.

Our solution

  • Developed a multi-tenant web service with robust administrative capabilities for warehouse integration.
  • Implemented scheduling jobs to update table information and schemas per administrator requirements.
  • Built a centralized platform for managing admissions data, analytics and queries.
  • Integrated CRM and data warehouse systems seamlessly.
  • Created historical data upload functionality for enrollment forecasting.

Results

  • Significantly reduced admissions process time through a centralized platform.
  • Customized enrollment markers and daily critical outreach priorities.
  • Personalized funnel analysis to streamline enrollment efforts.

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