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This blog is part of our “AI in action” series, where we’ll dive into specific use cases for how AI can impact each part of the recruitment process. For more on how Bullhorn is leveraging AI, visit our webpage.
To effectively compete in today’s staffing market, firms need to identify the right candidates for an open role as quickly as possible for the best chance of making a placement. With an ever-present talent shortage and changing client expectations, recruiters must sift through hundreds of passive and active candidates to match them to the right roles based on key factors like skills, years of experience, certifications, and more.
However, doing this at scale while maintaining quality standards can be challenging. Not only do recruiters need to evaluate candidates based on set requirements, but they also need to ensure a positive candidate experience, a streamlined client experience, and that they are keeping up with administrative tasks.
AI-powered tools have emerged as a candidate matching game-changer, automating the candidate search process and helping recruiters identify top talent fast. Read on to learn how AI can be used to automatically find the best candidates for specific job roles, saving recruiters significant time and effort.
Benefits of AI-powered candidate matching
- Increased efficiency: AI candidate matching tools streamline the candidate search process, allowing recruiters to focus on more strategic tasks and make more matches quickly.
- Improved candidate matching quality: AI can identify hidden gems and unique candidates whose fit may not be immediately apparent to recruiters.
- Enhanced candidate experience: AI-powered tools can provide a more personalized, consistent, and efficient candidate experience by quickly matching them with relevant opportunities rather than sending standardized communications or irrelevant positions.
- Faster time-to-hire: AI can help reduce time-to-hire and improve overall recruitment efficiency by accelerating the candidate search and match process.
Marc Linden, Managing Director at TSR Consulting, shared how his team benefits from AI-powered candidate matching: “Every recruiter at TSR warmed up to Textkernel [by Bullhorn] because the external search combines with the Search and Match tools so efficiently. They all plug into Bullhorn which gives us one single view into candidates and operations. That saves a lot of time.”
Leveraging Bullhorn’s AI solution
Bullhorn AI and Textkernel by Bullhorn offer powerful features for automated candidate matching, including:
- Advanced search capabilities: Quickly find candidates based on specific criteria, such as skills, experience, and location.
- Intelligent candidate recommendations: Automatically receive personalized recommendations for top-notch candidates.
- Real-time candidate insights: Gain valuable insights into candidate behavior and preferences and use those insights to make better decisions.
5 ways to put this AI into action
Being able to quickly and accurately match candidates to open roles is the best way for recruiters to get ahead of their competition and form strong relationships with clients. By matching candidates manually, recruiters might cause placement delays or miss a good match.
AI changes the game by optimizing and automating a large portion of the search and match process. Here are actionable ways to use AI for candidate matching:
- Define clear search criteria: Clearly articulate the specific skills, experience, and qualifications required for each job role by including all relevant and essential details on the candidate profile and the job record.
- Prioritize candidates based on AI-driven insights: Use AI-generated insights to prioritize candidates and focus on the most promising matches.
- Leverage AI for proactive candidate matching: Use AI to identify potential candidates already in your database, expanding your talent pool and increasing the ROI of your ATS/CRM.
- Integrate AI with the rest of your recruitment tech stack: Seamlessly integrate AI-powered tools into your existing recruitment processes to create a more streamlined process from start to finish. For example, leverage automation to quickly send an intro email to the best matches for any given role.
- Continuously monitor and optimize your AI strategy: Track the performance of your AI-powered tools and make adjustments as needed, such as improving data quality to make better matches.
