52% of Talent Acquisition leaders say the hardest part of recruitment is screening candidates from a large applicant pool
AI is helping to design and streamline and automate major portion of the recruiting workflow avoiding repetitive tasks enabling them to handle bulk hiring.
A robust Applicant Tracking Software (ATS) that applies machine learning to auto-screen candidates based on the key skills defined helps in targeting the right candidate for your hiring needs.
One of the primary reason to use AI in stffing is the big advantage of saving recruiters’ time by making it possible to handle large volume of resumes and weeding out irrelevant profiles and ability to pull out relevant ones.
By saving the time of existing staffing team, enables the management to handle large volume of business with a limited member team. The saving in time also enables the team to hone up their technical skills to become more productive. This saving in time will also largely impact the organization since it leads to cost optimization by employing a small team to handle large volumes. Talent acquisition leaders report that their hiring volume will increase next year but their recruiting teams will remain the same size or even contract. This means recruiters will be expected to become more efficient by using the AI.
AI screening of resumes will result in considerable time savingthe percentage of the resumes received for a role are either over or under qualified or experienced. Reading through the resumes and shortlisting candidates to interview is estimated to take significant chunk of number of hours of a recruiter’s time spent for a position.
AI plays a key role in scheduling interviews with candidates by automating the process and making it more systematic and with less human intervention.
The best ATS helps in designing to automate a part of staffing workflow and integrate seamlessly with recruiting stack without disrupting the overall workflow.
AI helps complete automation of the different process in a cycle thereby reducing time-to-hire, this will also help in supporting customers with high quality of hires thereby helping clients to rely more and more on your firms capability to identify the right talent.
Substantial improvement in quality of hires.
The key differentiator in recent staffing trends is to ensure high quality resources to the clients needs. To effectively use the AI and ML techniques the IT staffing team must be highly knowledgeable about the technical jargon that is thrown at them. An indepth analysis and creating a knowledge pool within the firm helps in retaining the knowledge gained by the team members.
AI is improving quality of hire since it is able to use data to standardize the searching of right candidates in comparision to the Job Description with resect to skills experience, knowledge, needed by specific job role.
This improvement in searching the right candidate helps in better post deployment of the resources as there is a perfect correlation between the job content and the career aspirations of the candidates resulting in higher efficiencies
Many leading Software companies have already tasted the success of deploying their AI and ML tools. In this highly competitive staffing solutions / services industry time has come to embrace latest technologies to be key differentiator. Those who still have not made up their mind, wake up now better late then never and use these to enhance your workforce productivity and higher custoemr satisfaction by deliering high quality services to become a preferred vendor.
