Case Study: ENGIE Benelux speeds up hiring with Textkernel

ENGIE searches 5x more skills in CVs with Textkernel

ENGIE Benelux, a leading energy company, faced a significant challenge with a drop in incoming CVs and a declining hiring rate in a saturated technical employment market. To address this, they partnered with vendor Textkernel to implement its AI-powered Source & Match technology within their Oracle Taleo environment to streamline recruitment and improve candidate sourcing.

By integrating Textkernel's semantic search and parsing software, ENGIE was able to dramatically improve its in-house sourcing capabilities. The solution provided recruiters with a more accurate search that could identify 5x more skills in CVs, leading to a faster time-to-hire, a larger candidate pool, and potential savings on media spend for promoting vacancies.

ENGIE