Case Study: National University of Singapore reduces candidate drop-off with impress.ai

National University of Singapore saves 40 hours monthly and reduces candidate drop-off with impress

The National University of Singapore (NUS) faced significant challenges with its manual recruitment process for its prestigious Associate Management Program. The traditional system was not interactive, deleted unsaved application data, and led to a high candidate drop-off rate. NUS partnered with impress.ai and its AI-powered recruitment automation platform to modernize its hiring, improve candidate engagement, and overcome difficulties with screening and scheduling.

impress.ai implemented a solution built on Amazon Web Services that included an intelligent virtual assistant for interactive candidate engagement and an automated platform for resume scoring and ranking. This resulted in a major reduction in candidate drop-off and an improved candidate satisfaction score. The solution also saved recruiters 40 hours monthly and enabled NUS to make 880 hires from a large applicant pool.

National University of Singapore (nus)