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E-Commerce / SaaS
United States
Finding Hidden Talent: How AI Transformed HR at a Leading E-Commerce Platform
Replacing rigid ATS screening with intelligent candidate evaluation
Key Results
73%
Reduction in time-to-hire
4x
More diverse candidate pool reaching interviews
89%
Hiring manager satisfaction with candidate quality
12
Career-changers hired who would have been filtered by ATS
The Challenge
The company was struggling with their traditional Applicant Tracking System (ATS). Keyword-based filtering was eliminating promising candidates who didn't use exact terminology but had transferable skills and strong potential. The HR team was overwhelmed with volume while simultaneously missing "hidden gems" • talented individuals whose unconventional backgrounds made them invisible to automated screening.
Key pain points:
• 200+ applications per role with no way to identify truly exceptional candidates
• Keyword matching rejected career-changers with valuable cross-industry experience
• Interview process was inconsistent and time-consuming
• Competitors were hiring talent they had inadvertently filtered out
Key pain points:
• 200+ applications per role with no way to identify truly exceptional candidates
• Keyword matching rejected career-changers with valuable cross-industry experience
• Interview process was inconsistent and time-consuming
• Competitors were hiring talent they had inadvertently filtered out
The Solution
Kor.Gy implemented an AI-powered candidate evaluation system that goes beyond keyword matching:
Semantic CV Analysis: Instead of exact keyword matching, the AI understands context, transferable skills, and potential. A "project manager from healthcare" can now be recognized as a strong candidate for SaaS product roles.
Structured Interview Intelligence: AI-assisted interview guides ensure consistent evaluation across all candidates while identifying unique strengths.
Hidden Talent Detection: The system specifically flags candidates who might be overlooked by traditional ATS but show high potential based on achievement patterns, learning trajectory, and soft skill indicators.
Bias Reduction: Anonymous initial screening focuses on capabilities rather than demographic indicators.
Semantic CV Analysis: Instead of exact keyword matching, the AI understands context, transferable skills, and potential. A "project manager from healthcare" can now be recognized as a strong candidate for SaaS product roles.
Structured Interview Intelligence: AI-assisted interview guides ensure consistent evaluation across all candidates while identifying unique strengths.
Hidden Talent Detection: The system specifically flags candidates who might be overlooked by traditional ATS but show high potential based on achievement patterns, learning trajectory, and soft skill indicators.
Bias Reduction: Anonymous initial screening focuses on capabilities rather than demographic indicators.
"
We were skeptical at first - how could AI find what our experienced recruiters missed? But within the first month, we hired a brilliant engineer who had been auto-rejected by our old system because her resume said 'data scientist' instead of 'ML engineer.' She's now leading one of our most critical projects.
VP of People Operations
VP of People Operations
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