Summary. What’s in it for your business.
With 60 branches, 400 in-house experts, and a candidate pool of 200,000, Manpower Switzerland is one of the market leaders in the staffing industry. However, finding qualified candidates with the right skills still posed challenges – lengthy administration tasks, time-consuming processes, and a flood of 4,000 weekly applications. With Textkernel’s AI-driven automated search & match technology, Manpower’s recruiters “have arranged new placements to the fullest satisfaction of our customers that we would not have identified otherwise.”
The Company
About Manpower Switzerland
With 60 branch offices, 400 in-house employees and 200,000 active candidates in its database, Manpower Switzerland is one of the top players in the staffing industry. As a market leader, its main responsibility is to match candidate and employer profiles.
THE Challenges
Long processes and time-consuming administrative tasks
Time-consuming processes have for too long slowed down the work of recruiters, affecting the delivery of high-quality services to their customers. With more than 4,000 applications received per week, Manpower needed support from intelligent tools to support in-house recruiters and enhance its matching and placement capabilities.
THE APPROACH
AI Matching Technology
After assessing various suppliers, Manpower recognized Textkernel technology’s potential for helping Manpower recruiters quickly match candidates with jobs and vice versa. Manpower was also influenced in its choice by Textkernel’s personnel, interface, market position, and project proposal.
THE Results
Fast, easy identifying top talents
Textkernel’s source and match technology allows Manpower to match candidates with jobs, as well as vacancies to profiles. Incoming applications are routed by Sourcebox, Textkernel’s workflow application, which is connected to Manpower’s existing system.
These profiles can be automatically matched to all available Manpower jobs, as well as all direct employer jobs in the Swiss market. At the same time, jobs can also be semantically matched to all profiles in the Manpower database.