Price: 1000000
Number of applications: 8
04.06.26 (inclusive)
tenge
Idea
ICT tasks
Robotics
Intelligent control systems
Software/ IS
In many companies, the hiring process remains partially manual and unstructured, which creates a number of problems: the loss of candidates between stages; lack of transparency on statuses; slow response processing; high workload for HR specialists; lack of an employment SLA; poor recruiting performance analytics; long-term time-to-hire; the subjectivity of decision-making; lack of automated communications; low scaling rate of HR processes. As the company grows, these problems begin to significantly affect the speed of hiring, the quality of employees, and the efficiency of the business.
As a result of the implementation of the ATS system, companies will be able to: accelerate the hiring of employees; reduce the burden on the HR department; increase the transparency of processes; reduce candidate losses; improve the selection quality; standardize recruitment processes; improve HR analytics; scale hiring without proportional growth of the HR team.
Veronika Gaplevskaya
Purpose and description of task (project)
Development of an intelligent ATS system (Applicanttracking System) within the Zeon ecosystem to automate the full cycle of hiring employees using artificial intelligence, analytics and digital management of HR processes. Project Description The project is an AI platform for automating recruitment processes, candidate management, and hiring performance analytics. The system will allow companies to: centrally manage the recruitment funnel; automate the movement of candidates by stages; monitor the processing time; receive AI recommendations on candidates; accelerate communication between HR, supervisors, and job seekers; analyze the effectiveness of recruiting in real time. The ATS system will become a single digital space for managing recruitment, from receiving feedback to getting an employee to work.
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