Bitget leverages artificial intelligence to enhance recruitment efficiency, reducing recruitment time by 38%
ChainCatcher news, Bitget has released a research report on the profound impact of artificial intelligence in the recruitment process. By introducing AI-driven recruitment systems, Bitget has achieved automation of resume screening, precise matching of candidates to positions, and improved decision-making efficiency, significantly optimizing the recruitment process.Before the introduction of the AI system, Bitget relied on manual candidate screening and external recruitment agencies, with an average recruitment cycle lasting up to 48 days, and some technical positions taking even more than 50 days to fill. Due to the heavy reliance on third-party recruitment agencies, nearly 40% of recruitment costs were consumed by these services, while the internal HR team had to handle about 500 resumes each month.After the introduction of the AI recruitment system, Bitget's recruitment cycle was shortened by 38%, reducing from 48 days to 30 days. The efficiency of AI-driven resume screening improved by 76%, allowing the HR team to focus on screening high-potential candidates. The automated process not only reduced recruitment costs by 25% but also increased employee retention rates by 15%. More precise job matching effectively reduced the first-year turnover rate, while AI also helped decrease recruitment bias by 38%.