Traditional recruitment methods are losing ground in the battle for qualified IT professionals: by the time a recruiter manually searches for candidates and sends invitations, top talent may already have accepted an offer from a competitor.
Mikhail Krupoderov, Business Analyst at Selecty, explains:
Mikhail Krupoderov, Business Analyst at Selecty, explains:
«This shifts the entire recruitment approach: it’s no longer a race, but a technology-driven strategy. To not only keep pace with the market but stay ahead of it, we at Selecty developed Humart – an ATS platform that uses artificial intelligence and machine learning to automate talent acquisition. It analyzes candidate experience, predicts how well they match job requirements, and helps recruiters make more accurate hiring decisions».
One of Humart’s key strengths, according to Mikhail, is its integration with ChatGPT and use of machine learning. The system can create Boolean and X-ray search queries, match candidates to relevant vacancies, and even generate personalized outreach messages.
«AI takes over routine tasks, freeing recruiters to focus on the most valuable parts of the hiring process. This doesn’t just speed up recruitment – it makes it more precise and effective. Humart enables us to find the right talent faster, while candidates receive more relevant job offers».
The results speak for themselves: time-to-hire has been cut by almost 50%, and automating repetitive tasks has reduced recruiter workloads by more than 25%.