What is an Applicant Tracking System
An ‘Applicant Tracking System’ or ‘ATS’ is a candidate management system. It is a software application designed to handle recruitment process electronically. Job seekers do not come from the same place. Job websites, social media or recruiting firms are some of the platforms to find the job openings. These separate outlets provide accumulated data but they are unstructured and they vary from each other. This overloaded information makes it very difficult for the individual companies to carry out the function of the recruitment process. This is where a solution named ATS which can be purchased for the company to select, recruit and hire the best candidates without much hassle. It can be accessed or operated by large-scale enterprises and also small businesses.
How exactly does ATS work?
As the applicant applies for various jobs online, he is also required to input information like their contact number, job experience, address, educational background, resume and cover letter which eventually are uploaded into the database. This information passes through each process of hiring. Companies can select the applicant by checking the resumes through online tests and interviews. This integrated system helps in the communication process by notifying the candidates through automated emails and also helps in resume analysis and candidate selection. If your resume contains the keywords of skills, qualifications and experiences and other information that the hiring company or the employer wants, then ATS will place you higher in the search results.
Benefits of Applicant Tracking System
Drawbacks of Applicant Tracking System
Like all technology, there are benefits and also drawbacks of this hiring software. It is necessary to know the consequences before taking a decision to purchase an applicant tracking system. If the company’s target is to improve sourcing and recruiting, this is the right thing to implement. ATS is an applicant tracking solution built to better assist in resume management and candidate information. Latest advancements include the use of AI or ‘Artificial Intelligence’ and NLP or ‘Natural Language Processing’ for better search and sort the resumes.