Applicant tracking systems are the most imperative modern-day tools that aid organizations in recruiting workforces that they need. Many modern-day firms employ advanced Greenhouse ATS systems to recruit the right talent they anticipate. Besides, the need for ATS systems has increased after the pandemic. Remote working culture may be helpful for employees, but the recruitment teams have suffered working without access to critical data.
In such cases, the ATS systems have empowered businesses to automate the recruitment process. Despite operating from remote locations, organizations are fulfilling their staffing demands swiftly. AI in ATS is another revolution that has streamlined the recruitment process. It eliminates time engrossed by human decisions and has presented better talents to an organization. Here, in this article, you will learn about the qualities of an AI-powered ATS system. So, if you see a robust ATS system to integrate, these are the qualities you must look for!
AI recommends candidates by extracting their core skills
Any organization searching for a workforce would always anticipate the talents that can exactly deliver the best productivity needed. The potential employees must align to the process requirements and perform with Excellency. In such cases, AI-powered ATS systems come handy. AI in ATS systems usually scans the resume and other necessary documents to extract the core skills of potential employees.
It then matches those core skills to compare them with your talent pool and position requirement. This helps you find the precise candidates productive for your organization. AI-powered ATS system does not demand any human decision interference; it matches automatically and recommends the best fit.
Candidate shortlisting with filters
The next most compelling feature of an ATS system is candidate shortlisting based on end-user preference. With an abundance of applications, it sometimes becomes a monotonous process to shortlist the desired candidates. In such cases, an AI-based ATS system empowers end-users in filtering applicants. It automatically extracts insights from resume and job search sites to categorize applicants as per your filters. The filter can be experience, skills, work efficiency, academic background, and a lot more.
Users in AI-powered ATS systems can also customize the filters to shortlist applicants in the desired list. Eventually, the AI-powered ATS systems allow you to balance positions vacant and applicant required.
Scoring aspirants
Finding the desired employee becomes even easier when you find aspirants along with scores for their skills and experience. Scoring helps you make a better decision for choosing any candidate. Many AI-powered ATS systems that you see nowadays come with candidate scoring. Candidate scoring is a feature that empowers you to select the right candidate based on their ranks on ATS. ATS fetches the most useful information such as the candidate’s location, skills, experience, relevant experience, education, current position, and many more. This helps ATS to score them based on suitability.
For example, if your talent search demands employees from the local area, then AI-powered ATS systems will rank the candidates in terms of locations and other factors to match your need. Scoring candidates also diminishes the hassle of comparing aspirants by opening their resumes.
Skill search
The ATS systems have become the search engines for modern-day organizations. Employing the ATS systems, firms discover the best staffing they need for the workforce. Skill search is one such integral quality of the AI-powered ATS systems that you can explore. These ATS systems, like search engines, find out the best skillset and applicants by emphasizing search terms.
For example, when the end-user searches for a full-time operational engineer with four years of experience, the AI-powered ATS systems then crawl over the resume to find out the most relevant applicants for your needs. This is a much helpful feature that aids organizations in finding the best-fit employees for their needs.
Social media and job search platform connectivity
Social media and job search platforms have become the new domains to find out the applicants you need. Almost every social media platform, including career websites, empowers applicants to find a job by collecting data from them. In such cases, harnessing the power of these platforms is the most suitable way to find precise applicants. An AI-powered ATS system always comes enriched with social media and job site integration. It fetches data from LinkedIn, Social media, and other platforms to find you demanding candidates.
Several businesses in the recent age of recruiting process are choosing advanced Greenhouse ATS systems to automate the hiring process. So, you must anticipate these qualities in your ATS system.
Conclusion
In conclusion, these are the qualities that you must contemplate while choosing an ATS system for your business. Now that you are aware of all significance and features, you should never fail in engaging the best ATS system for your business.
