Case Study: ENGIE speeds up hiring and surfaces more candidates with Textkernel

How ENGIE Benelux armed its talent recruiters to deliver on Mission Impossible: speed up hiring in a saturated technical employment market

ENGIE Benelux, a division of the global low-carbon energy leader ENGIE, faced a significant challenge in a saturated technical employment market. Despite using numerous tools, the company experienced a drop in its hiring rate and struggled to fill over 1,300 open vacancies. ENGIE approached vendor Textkernel to help engage more candidates and empower its recruiters with technology to surface talent from their existing networks.

Textkernel implemented its AI-powered semantic search technology, integrating it directly into ENGIE's existing Oracle Taleo system. The solution created a tailored taxonomy to improve search accuracy and candidate matching, which allowed recruiters to surface five times more skills from their internal CV database. This empowered the streamlined HR team to find candidates faster, reduce time-to-hire, save on media spend, and keep candidates engaged in the talent pipeline for future opportunities.

ENGIE

Frédéric Verkaeren

HRIS Solutions Manager