Are your competitors swifting the best talents under your nose while you’re still posting jobs in the Stone Age? Are you still sifting through piles of resumes manually, the desire to pull your hair out slowly settling in? Well, if the answer’s yes, keep on reading, we have something that will for sure take your recruitment game to the next level and help you gain access to hundreds of candidates. Let’s take a look at how using artificial intelligence (AI) can change the way you recruit, and why using nPloy is the way to go.

Keep on reading if you want to find out how leveraging AI can streamline your hiring, save you time and resources, and ensure you reach the best talent out there.

What is AI in recruitment?

Artificial Intelligence in recruitment refers to using AI technologies to automate and enhance the hiring process. AI can be helpful in many ways, from candidate pre-selection and screening to interview scheduling. Using AI in your day-to-day tasks can make the process faster, more efficient, and data-driven. According to industry experts, AI is set to have an even greater role in the near future - Gatner predicts that by 2025, 75% of HR applications will utilise AI.

And since nPloy’s been using AI for years, specifically to solve problems, we have some things to say on the matter. Here’s what we’ve observed when it comes to

Most common HR challenges 

HR specialists lose time in going through countless resumes manually. And it can get worse - imagine spending weeks on manual preselection only to hire a candidate who doesn't turn out to be a good fit.

Unconscious biases such as race, gender, and age can influence recruitment decisions, even when recruiters try their best to remain objective.

Lack of uniformity leads to poor candidate experiences.

Poor job fit results in high employee turnover.

How does nPloy harness the power of AI

One of nPloy’s core features is AI based candidate matching. For you, as a recruiter, it means that once you post a job on nPloy, our smart algorithm makes sure your ad is shown only to talents that match the requirements of the position. 

From candidates’ perspective, it means users see only jobs that match their experience, salary expectations, seniority level. Work model, job type and working times. 

The automated screening of user profiles for relevant skills and qualifications drastically reduces the time-to-hire. And since we trust AI to match candidates to roles they're best suited for, we also have reduced turnover rates and improved employee retention.

Bonus points? Candidate profiles on nPloy are anonymous, so this means bias-free hiring. By focusing on skill sets and qualifications, nPloy eliminates unconscious biases, promoting diversity and inclusion.

These innovative and effective pre-selection can be used by both small and big recruiting teams, saving time and effort. And speaking of saving, 

Let’s take a look at some data

Our own research shows that 87.7% of companies that use the Talent Pool - nPloy’s own candidate database - see better results. But let’s not rely only on our data. A case study on nPloy and Pontica Solutions’ long-standing collaboration reveals that by matching the candidates’ skills and expectations with what employers offer, nPloy cuts through the static and makes it 3x easier for candidates to apply. In addition, company representatives confirm that incorporating AI into thei recruitment strategies can significantly refine the hiring operations and assist in scaling with greater efficacy. 

And because our team here is a curious bunch, we’ve also researched how using nPloy affects the recruitment process in HRS - a recruitment agency. The case study shows that nPloy's advanced AI capabilities streamline the recruitment process, allowing HRS to quickly and accurately match candidates' skills and qualifications with job requirements. This led to a remarkable 30% increase in efficiency in identifying the right candidates for open positions.

Turns out AI is not the future - it’s the present. AI-powered jobs boards are changing recruitment processes, making it easier for both candidates and companies to find the perfect fit.

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