By: Pranav Ramesh

How AI Can Help Recruiters Find Qualified Candidates Faster

The days when hiring managers were covered in resumes, folders full of data, and endless details about candidates are long gone. There’s no secret that artificial intelligence is constantly evolving, and it has now been employed as a standard practice in the hiring process.

In an increasingly competitive environment, HR teams realize the importance of investing in a broader set of software solutions and AI tools for recruiting top talent. An increasing number of companies have embraced artificial intelligence recruiting software to overcome the ongoing struggle of finding hire-ready job applicants.

Attracting and retaining talent is a skill any talent management professional strives to achieve. To do that, they use AI tools to automate repetitive tasks and streamline personalized and unbiased information throughout the recruitment process.

The use of AI for hiring qualified candidates can be described as a system for solving big, complicated, and repetitive issues faster and more effectively. Let’s break down the most important advantages of using AI-powered recruiting software!

Machine Learning Algorithms Help Analyze Resumes and Job Descriptions

Talent sourcing is one of the most important tasks of HR professionals, as any miss can lead the recruiter to lose their top talent to the competition. Unfortunately, the process does not always go as smoothly as expected, and job recruiters can spend a lot of time solely on talent sourcing. In the meantime, requisitions remain open longer and hiring teams are exposed to poor decision-making.

The increase in high-volume hiring has made it nearly impossible to manage the overload of job applications by yourself. Moreover, as unconscious bias affects the hiring process, businesses are implementing machine learning algorithms and using AI tools to assist with fair talent sourcing and resume screening. How do they work?

  • These algorithms can parse data both from PDF or document files, as well as from online job boards and aggregators.
  • Then, using artificial intelligence, job applications are scanned to extract data pertinent to the hiring manager’s requirements, such as the candidate’s experience, qualifications, and skills.
  • Additionally, machine learning algorithms can be programmed to analyze competitors’ job descriptions, or post your job description on several platforms. 

Natural Language Processing For Online Profiles and Resumes Search

In addition to machine learning algorithms, recruiters can also use natural language processing (NLP) to scan through hundreds of job applications and resumes. NLP is a valuable tool, saving time for candidate screening and analyzing incoming resumes.

This process provides a data-driven method for candidate screening and candidate matching, which is more time-effective and also enables you to make more informed hiring choices. Another advantage is that we can rate and classify applicant profiles using NLP while avoiding human biases.

  • Simply put, NLP can filter and organize the information received from resumes and group the results into smaller categories.
  • As a result, regardless of the resume’s format, the system can extract important information and provide you with a summary.
  • Afterward, the system ranks applicants by comparing the content of their resumes to that of the job description, also giving you recommendations about the most qualified candidates. 

Predictive Analytics Implementation to Identify the Best Candidates for a Role

Data analysis and the use of AI tools not only help you with candidate screening, but they can also extract insights and patterns from large sets of data and then make forecasts based on those analyses. A great tool is a predictive analytics algorithm, which helps HR teams evaluate applicants and perform candidate matching analysis on them.

Predictive algorithms try to eliminate candidates before they even get to the recruiter and only suggest the most suitable ones. This is done either by evaluating the current employees or by predicting if a potential candidate is a good fit for your company, wants to switch jobs, or is likely to remain in the company.

Effective candidate matching is mandatory to make a profit and grow your business because it can give you valuable insights about how well the candidate fits the job opening and which candidates are more likely to succeed in the position. As complex as the hiring process can be, some of these predictions turn out to be beneficial because they increase talent management rate and employee retention. 

The Use of Chatbots to Pre-screen Candidates and Schedule Interviews

One of the most common AI tools that can be found on several websites, and that you’ve probably come across more than once are online chatbots. Moreover, some recruiting tasks can also be performed using chatbots and don’t require human interaction until later stages of the recruiting process.

Chatbots can be automated to not only answer any questions of potential candidates but also provide them with relevant information about your company. Now, you can use this method to schedule online interviews in the pre-screening stage, by scanning online documents, and responses, as well as analyzing online interviews and summarizing all the data about jobseekers.

Chatbots can ask candidates questions about their skills, abilities, and experience and then aggregate the answers and rank them based on similarity to the job criteria. Your hiring team will then have more time to devote to tasks that call for a personal touch, like following up with the most qualified candidates for live interviews or focusing on talent management tasks. 

Job Matching Tools Can Connect Candidates with Relevant Opportunities

Although the number of candidates is constantly growing, that doesn’t always mean that there is a good fit among applicants for a certain open position. That’s why leveraging job matching tools can come in handy to avoid poor hiring decisions.

By combining the characteristics of the job profile and the pre-established criteria of the employer, job-matching software identifies the most pertinent candidates. This enables contextual learning and the confirmation that each job applicant satisfies those requirements before their submission as a match to the employer.

Job profiles should be matched to candidates’ profiles to ensure hiring is the right answer for both parties. Some of the advantages of using such matching tools include minimized hiring risk, increased productivity of employees, and a larger chance for employee growth and development.

Rethink Your Hiring Strategy!

No one can deny that the use of artificial intelligence for recruitment optimization and automation offers a wide variety of advantages for your business. As more and more HR teams start using AI tools to make their strategy more effective, it might be time for you to consider doing so too!

GabiLabs’ AI-powered features are here to ensure that you make the hiring process as short and efficient as possible. Contact us now to find out how you can leverage AI for recruiting!