Case Study: RGF Staffing boosts candidate placement with Textkernel’s semantic search

Breaking internal barriers and leveraging candidate data with Search

RGF Staffing, a major international staffing company, faced the challenge of leveraging its vast internal candidate pool. Despite receiving up to 50,000 applications monthly, consultants struggled to find suitable candidates because data was siloed across different subsidiary brands and existing search capabilities were poor. This resulted in only 10% of applicants being placed. To address this, they turned to Textkernel for a solution using its Extract! and Search! products.

Textkernel implemented its semantic search technology to create a unified, searchable database from the previously fragmented systems. This solution automated data processing and provided consultants with an efficient way to find and match candidates. The results included a significant increase in data sharing across subsidiaries and more efficient placements. Textkernel's search was rated as very user-friendly by 75% of consultants, and it helped accelerate revenue by enabling RGF Staffing to place candidates faster from their own existing talent pool.

RGF Staffing

Ton Sluiter

Marketing Manager