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The applicant screening process can be time-consuming and resource-intensive, particularly when it comes to processing a large volume of resumes and CVs. To improve this process, our job scraping platform uses machine learning-inferred skills normalization, collating upwards of 135,00 terms that describe over 9,000 unique skills.
The automation of this process allows for sophisticated skill matching with the pool of job requirements for over 8 million jobs every month. With this approach, the accuracy of matching the right candidate to the right job is tremendously increased saving time.
Reduces the costs and resources involved in hiring by automating several manual processes involved in finding and matching candidates to jobs.
For global workforce requirements, determine talent hotspots across locations for specific skill requirements fostering inclusivity.
Assess candidates on the skills required for a position by considering not only technical and core skills but also meta-skills through the analysis of detailed skillset requirements per position across locations.
Craft precise and detailed job descriptions to attract the most suitable and qualified candidates for specific roles by providing clear information about the requirements and expectations of the position.
AI-driven algorithms to match candidates to job openings based on their qualifications, skills, and experience to save time and improve the accuracy of the matching process.
To know more about our product or schedule a demo, please get in touch with us.
Labor market analytics is the future as we keep pace with the change in the job market. JobsPikr is an AI-enabled talent intelligence platform for workforce planning, talent mapping, and labor market insights. Contact us to learn more about what we do and how labor insights can help you make better business decisions using machine learning technologies.
