Overview
Boosting Productivity through Connected Recruiting Automations: A Case Study on Ethan AllenBullhorn |
Analytics & Modeling - Machine Learning Infrastructure as a Service (IaaS) - Cloud Databases | |
Automotive Telecommunications | |
Human Resources | |
Leasing Finance Automation Material Handling Automation | |
Operational Impact
The implementation of Bullhorn Automation has significantly improved Ethan Allen's operational efficiency. The automation of various stages of the talent lifecycle has not only saved time but also improved the candidate experience. The use of AI and machine learning in the 'Attract' phase has made the process of matching candidates with job openings more efficient. The 'Engage' phase has seen improved communication with talent due to cleaner data. The streamlined onboarding process has made it easier for candidates to provide necessary information and forms. The 'Nurture' phase has ensured consistent check-ins with candidates on assignment, improving the overall candidate and client experience. The automation has also freed up time for recruiters to focus on building relationships with candidates and clients, rather than administrative tasks. | |
Quantitative Benefit
Ethan Allen increased their time saved by 204% through the implementation of Bullhorn Automation. | |
The company went from engaging with 33% more contacts in a 30-day period using engagement automations. | |
The automation of the onboarding process significantly reduced the time taken to onboard candidates. | |