You may be wondering what the contemporary approach to hiring these days is?
Let us try to understand the situation. A recruiter is inundated with heaps of resumes every day. They need to sort and manage this data and approach the right candidate.
The topmost recruitment challenge that the recruiters face now is that the traditional hiring techniques are no longer effective in hiring the ideal candidate. Therefore, they need to develop creative ways to overcome their recruitment challenges.
By this, we don’t imply that the traditional hiring is obsolete and redundant, but there’s less sifting through resumes, and focus is on the candidate experience now.
Fortunately, new recruitment methods have emerged that the recruiters can use to attract and recruit the best candidates. Right hiring strategies improve applicant scope and enhance a company’s brand value in front of potential candidates.
4 Innovative Recruiting Techniques to Try Out
- Social Media
Recruiters are innovative with their hiring techniques and tapping talent on various social media channels like LinkedIn and Twitter. Are you using these channels as well?
- Conferences/Networking Events
HR conferences, job fairs, and other events offer an excellent hiring platform. HR managers are sure to find their perfect fit in these events. Use these events to your advantage and present your potential employees with a sneak peek into what it is like working in your organization.
- Digital Job Boards
Numerous job boards allow recruiters to post their job descriptions for job seekers. Nowadays, digital job boards are an indispensable part of the recruiters’ list, as they help them attract diverse candidates.
- AI-powered Tools
Incorporating AI-based HR tools into your hiring process will automate and accelerate the process. AI tools like a resume parser will be a game-changer that will help you improve your productivity and candidate experience.
Let’s read on for more information about a resume parser and determine why a recruiter’s toolkit should include a resume parser.
What is a Resume/CV Parser?
Resume/CV parser allows for the automated storage and analysis of resume data. It helps recruiters extract applicants’ information like name, email address, contact number, experience, qualification, etc., from the resume file into ATS fields.
It allows HR professionals to search quickly, filter, and access specific information about a candidate in just a few clicks.
What to Look for in a Resume Parser?
Here are some factors you need to consider while choosing a resume parser:
- Ensure that resume/CV parser parses resume in all formats: DOC, DOCX, PDF, RTF, TXT, ODT, HTM and HTML, DOCM, DOTM, DOT, DOTX
- Make sure it easily integrates with your existing software
- Ascertain if it has Multilingual support
- Make sure that it identifies candidate skills accurately via taxonomy support
- Ensure it has a configuration feature for unbiased hiring
How can RChilli Resume/CV Parser Fit into Your Business?
RChilli resume parser is a deep learning/AI framework that identifies complete information from resumes and enriches it through its taxonomies. It extracts candidate data from resumes in 140+ data fields through REST API.
RChilli enhances the recruitment process by improving the candidate experience and recruiters’ productivity by up to 90% and 80%, respectively, through the power of AI and NLP. Our resume parser can parse large amounts of resumes or jobs in a scalable manner.
- Auto-populate Data Fields on Your Candidate Apply Page
Candidates can submit their applications with one click by using the RChilli resume parser. They are relieved of not filling the information repeatedly as the parser auto-populates the data fields.
This enhances the candidate experience as they can fill their profile in less than 10 sec.
- Bulk Parsing for Effortless Extraction of Resumes
The beneficial bulk import feature of the RChilli resume parser permits the user to parse several resumes in a go and extract information in seconds. With the bulk import feature, the user can import millions of resumes overnight.
- Parse Resumes from Emails
Email Inbox Integration is an invaluable feature of the RChilli resume parser that helps users retrieve data from various email inboxes instantly.
Not only does it fetches resumes/jobs from single or multiple email boxes, but it also retrieves data from scanned resumes. The user can get resume data in the database in less than 2 seconds.
- Configurable Data Fields for an Unbiased Recruitment
The remarkable feature of configurable data fields allows users to eliminate the information they feel can cause bias in their hiring decisions.
The users can enable/disable data fields they don’t want to collect. Once the fields are disabled, the parser will not fetch data from those fields. This feature helps remove unconscious bias for a diverse workforce.
- Improve Search Results by Suggesting Skills/Jobs While Searching
The incredible RChilli Taxonomy 3.0 can enhance the resume/job search of the users. Taxonomy is the comprehensive library of skills and jobs alias that improves the user search by providing multiple keywords.
- Providing Recruitment Chatbots with Organized Resume Data
The intelligent RChilli resume parser can provide organized resume data to chatbots that can ask relevant questions to the candidates. It helps attain up to an 80% interview completion rate at once.
Also Read: Top 5 Unique Features of Our Resume Parser
Amaze Yourself with RChilli’s Resume Parser
Curious to know other interesting features of the RChilli resume parser? Feel free to contact us.