The employment market is controlled by one constant, which is change. Sometimes, this change can be predicted, as in seasons of recruitment. Sometimes it's due to unexpected circumstances, like the recent health crisis in the world and the accompanying economic slowdown.

In a lot of countries around the globe, lockdown restrictions are being relaxed slowly and economies are beginning to emerge. Therefore, employers are likely to receive an abundance of applications from job seekers who are eager to get back to work. To be able to handle this increase in hiring, the talent team should integrate AI tools for recruitment into their processes as much as they can.

The capacity to fill this need depends on how fast companies are able to fill open demand for services. To increase the speed of hiring, but not compromising the quality of new employees the recruiters are advised to automatize all of their duties as is possible. Every second saved is a huge benefit in connecting individuals to jobs in a mass manner, particularly when time is the most important factor.

Here are a few examples of job tasks that are usually automated with AI and machines learning. These tasks can be used to perform routine tasks or enhance the capabilities of humans.

• Assessment of applicants: analyzing candidate profiles and determining if they're suitable for the job.
• Enhancing individuals' profile by automatically locating additional information about a potential candidate using publicly accessible data from the internet.
• candidates source finding talented candidates in two sources to fill vacancies currently open.
• Personalized assessments/training: tailored solutions that adapt to each candidates' skills and abilities.
• Looking for applicants choosing and grading the most qualified candidates either passive or active in search of an opportunity in accordance with their abilities and their work experience or other criteria.
• Chatbots : chatbots which can offer a chat-based interface to potential or prospective candidates for screening before answering questions and much more.
• Advertising that is tied to jobs is designed to be: automated job distribution and optimizing budgets based on previous data as well as the efficiency of the campaign live.
• Interviews scheduling self-scheduling: automation of scheduling logistics can increase hiring efficiency by providing instant, real-time confirmations as well as updates. It also improves the candidate experience by providing flexibility when schedules.

In the field in AI recruiting, SquaREcruit's customers are unique in their advantages. They can make use of the system for tracking applicants that makes up SquaREcruit (ATS) which is the first and only artificial intelligence-powered system for recruitment.

It was developed with a particular emphasis on screening candidates and matching, sourcing, and screening SquaREcruit's applicant monitoring system (ATS) lets hiring managers and recruiters to instantly evaluate job candidates by a score of match, search internal databases for candidates to fill open jobs, as well as send the process of sending out job alerts to applicants to find opportunities that match their abilities and knowledge.
SquaREcruit's application tracking system (ATS) along with a variety of other functions of our suite of talent acquisition tools, let over 4,000 companies automate a myriad of workflow processes which allows recruiters to concentrate on finding the top candidates and bringing them on board quickly as feasible.
Are you interested in learning more about SquaREcruit's applicant tracking software (ATS) as well as how it could assist your company manage the high volume of recruitment? Send us a message! We'll contact you in the shortest time possible.