Blog /Artificial Intelligence

Go Beyond the ATS Software and Boost Your Hiring Mojo with Skima

November 11, 2024

clock
5 min read
Blog alt

Imagine you’re mining for gold, sifting through piles of dirt, hoping to uncover a few precious nuggets. That’s often what the hiring process feels like with a traditional Applicant Tracking System (ATS)—time-consuming, tedious, and often a hit-or-miss endeavor. 

And there’s a compelling case for upgrading your recruitment tools. According to Jobscan, a staggering 75% of resumes never make it to human review because they get filtered out by ATS software limitations.

Meanwhile, a CareerBuilder survey reveals that 60% of job seekers abandon applications midway due to complex processes, underscoring the importance of a streamlined, candidate-friendly experience.

Relatable right? So, what’s the solution?

Here’s Skima’s advanced AI resume parser: think of it as your high-tech metal detector, designed to cut through the clutter and pinpoint the exact talent you need without the guesswork. you’re not just improving efficiency—you’re transforming your talent acquisition strategy.

Let’s learn in depth how an AI resume parser can help you scout best talents for your organization.

Challenges of Using Only an ATS for Scouting Top Talent

1. Keyword Limitations

ATS platforms often depend on keyword matching to screen resumes. This approach can overlook qualified candidates who possess the necessary skills but use different terminology. For instance, a candidate with "program management" experience might be missed if the ATS is set to identify "project management" as a keyword. This rigidity can result in false negatives, where suitable applicants are filtered out due to non-standard phrasing.

2. Limited Insights

Traditional ATS software typically provides basic candidate profiles, focusing on structured data and specific keywords. This limitation hinders a comprehensive understanding of a candidate's potential fit, as aspects like soft skills, cultural alignment, and adaptability are not adequately captured. Such systems may fail to assess the nuanced qualities that contribute to a candidate's overall suitability for a role.

3. Missed Passive Talent

ATS software tools are primarily designed to process active applicants, often neglecting passive candidates who are not actively seeking new opportunities but may be open to the right offer. Without proactive engagement strategies, organizations risk missing out on this segment of the talent pool. An ATS for hiring alone lacks the capabilities to attract and nurture relationships with passive talent, which is essential for a comprehensive recruitment strategy.

The Cost of Overlooked Talent in a Competitive Market

Over reliance on ATS software in hiring can lead to significant drawbacks:

Extended Hiring Timelines

ATS systems may filter out qualified candidates due to rigid keyword matching, prolonging the recruitment process. A study by the Society for Human Resource Management (SHRM) found that the average time-to-fill for a position is 42 days, with delays often attributed to inefficient screening methods.

Missed Opportunities for Innovation

By overlooking candidates with diverse experiences and unconventional skill sets, organizations may miss out on innovative perspectives. Research indicates that companies with diverse teams are 1.7 times more likely to be innovation leaders in their market.

Increased Recruitment Costs

Extended hiring processes can escalate costs. According to the National Association of Colleges and Employers (NACE), the average cost-per-hire is $4,129, with prolonged vacancies further inflating expenses. 

Compromised Quality of Hire

ATS limitations may result in the selection of candidates who meet keyword criteria but lack essential competencies. A report by the Harvard Business Review highlights that 80% of employee turnover is due to poor hiring decisions, emphasizing the need for comprehensive candidate evaluations. 

Diminished Competitive Edge

In a competitive market, the inability to identify and engage top talent promptly can lead to a loss of market share. Companies that streamline their hiring processes are 70% more likely to secure top performers.

Overview of Skima’s Resume Parser

Skima's resume parser is an advanced tool designed to streamline and enrich the recruitment process. Unlike traditional parsers that focus primarily on keyword matching, Skima's solution employs artificial intelligence to delve deeper into candidate profiles, extracting comprehensive information that provides a holistic view of each applicant.

AI-Powered Parsing for Comprehensive Talent Profiles

Skima's AI-driven parser transcends basic keyword identification by analyzing the entirety of a candidate's resume. It captures nuanced details such as achievements, soft skills, and career trajectories, offering a more complete understanding of a candidate's potential. This depth of analysis ensures that qualified candidates are not overlooked due to unconventional terminology or resume formats.

Enabling Smarter and Faster Hiring Decisions

By integrating seamlessly with existing ATS platforms, Skima's resume parser enhances the candidate screening process. It automates data extraction and organization, allowing recruiters to efficiently identify high-potential talent. This integration reduces manual workload, accelerates hiring timelines, and improves the overall quality of hires.

Future-Proofing Talent Acquisition with a Strong HR Tech Stack

Relying solely on an ATS can hold businesses back from reaching the best talent. Combining AI resume parser with an ATS is a strategic move for forward-thinking recruitment teams, offering an efficient and enriched hiring process. With Skima, you’re not just improving efficiency—you’re transforming talent acquisition.

Ready to optimize your recruitment strategy? Explore Skima’s advanced tool to experience a more comprehensive, streamlined hiring process.

Frequently Asked Questions 

Q1. What is a resume parser?

A resume parser is software that extracts and organizes information from resumes into structured data, streamlining the recruitment process.

Q2. How does an ATS use resume parsing?

An ATS employs resume parsing to automatically process and categorize applicant information, aiding efficient candidate screening.

Q3. What are the limitations of using only an ATS?

Relying solely on an ATS may overlook qualified candidates due to rigid keyword matching and limited assessment of soft skills.

Q4. How does Skima’s resume parser enhance an ATS?


Skima’s parser integrates with your ATS, providing deeper insights into candidates' skills and experiences, improving hiring decisions.

Q5. What should I consider when choosing a resume parser?

Evaluate accuracy, compatibility with various formats, language support, and integration ease with your existing ATS.