Case Study: SeligoAI improves university recruitment cost and student retention with ClearScale

Improving University Recruitment Cost and Student Retention with Custom Algorithms enabled by Machine Learning on AWS

SeligoAI worked with ClearScale to build a cloud-based recruitment and student-progress tracking platform for universities and colleges. The goal was to aggregate and analyze disparate student data sets, reduce subjective decision-making, and improve how institutions identify likely student success and potential barriers to academic life.

ClearScale designed an integrated single-tenant platform on AWS with analytics, marketing, and application administration modules, using Amazon Machine Learning, AWS Cognito, AWS SNS, Yii, and EC2-based parallel processing. The solution includes success indices, bulk imports tested at 250k+ students, and processing time for a large dataset was reduced from 2-3 hours per index to around 20 minutes; SeligoAI also says the platform can reduce multi-channel marketing costs by 25-35%.

SeligoAI

Gregory Jordan

SeligoAI