A global enterprise based in Germany partnered with us for AI Assistant Development to create a smart HR solution that facilitates and automates its high-volume recruitment process. The client faced significant challenges in managing geography-intensive, large-scale hiring. Their HR department was overwhelmed by thousands of resumes arriving daily through job boards, email campaigns, and internal referrals. This made it difficult to maintain the pace, accuracy, and efficiency required in their recruitment process.
Langchain
Python
GPT-4
React.js
PostgreSQL
With thousands of resumes coming in through email and job portals, their HR team needed a smarter way to manage, screen, and match candidates.
HR departments were forced to review the resumes manually, which led to an increase in the time-to-hire and a higher probability of sending inexperienced people.
Each position attracted thousands of applications, and it is difficult to guess without a smart matching system where the match lies.
Emails, folders, job boards, and others are the source of resumes that led to unclean data, repetitions, and the absence of centralized access.
This is because of a lack of automation that led to bottlenecks in sending updates, reports, or notifications, thus slowing down the whole process of recruitment.
The team also lacked visibility into work and errors, and could not identify any gaps or streamline the working process.
We automated a process of scanning thousands of resumes in real-time, gathering the key information, such as contact details, work experience, and skills.
We used our intelligent scoring framework to compare candidates with job requirements, resulting in match scores that became visible through which we could make informed hiring decisions.
The assistant was an automatic scanner of inboxes, retrieving potential resumes and properly categorizing them in sequential folders, making it easy to view.
We developed a common searchable database of resumes with the in-built logic to weed out and destroy duplicate entries of a candidate.
We provided visual dashboards to monitor resume processing, build summary reports, and display system performance in real-time.
The AI Assistant did the tedious part of reading the resumes, allowing the human resource groups to be occupied elsewhere, doing interviews, and making the decisions.
Not only did the system deal with big recruitment campaigns without a problem, but it was able to parse resumes from many sources without introducing delays or omissions.
Intelligent matching algorithms led to the shortlisting of only those candidates who were the most pertinent to a position, thereby enhancing the quality of hiring.
The HR departments were able to handle more jobs and applicants at the same time due to limited human procedures and the flow of an automated process.
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