Case Study: Nestlé achieves 97% hiring prediction accuracy with Pulsifi

How Nestlé used our assessments to select best-fit talent and improve hiring efficiency by over 70%

The customer, Nestlé, faced significant challenges in hiring for its Management Trainee program in Malaysia, including a high volume of applications, a lengthy screening process, and difficulty in consistently identifying leadership potential. To address this, they partnered with the vendor Pulsifi to utilize its AI and predictive people analytics service.

Pulsifi implemented a solution that involved benchmarking top traits, creating a custom algorithm to analyze candidates, and providing a Fit Score. This allowed Nestlé to efficiently shortlist the most promising applicants. The results were substantial, with a 70% improvement in processing efficiency and a 97% accuracy rate in predicting on-the-job performance, all while enhancing the candidate experience and employer branding.

Nestlé

Shahzad Umar

Head of Human Resources