From Manual Screening to Smart Matching
AI CV Matching Platform
AI-powered CV matching software that analyses candidate profiles against job requirements, cutting time-to-hire by 50% and reducing recruitment costs by 30% for a growing recruitment company.
Book a Case WalkthroughA recruitment company experiencing rapid growth was struggling to keep pace with increasing CV volumes. Their team spent hours manually reviewing applications, often missing qualified candidates buried in the stack while clients waited for shortlists.
The Challenge
Manual CV screening was creating bottlenecks in the hiring process, leading to longer time-to-hire and rising recruitment costs that threatened the company's competitiveness.
- HR personnel spending majority of time on manual CV review instead of candidate engagement
- Inconsistent evaluation criteria leading to qualified candidates being overlooked
- Long time-to-hire causing clients to lose top candidates to faster competitors
- Rising recruitment costs as team expanded to handle growing CV volumes
- No data-driven insights to improve hiring decisions or predict candidate success
Our Solution
Softblues built an AI-powered CV matching platform that automatically parses resumes, extracts skills and experience, and scores candidates against job requirements. The system uses machine learning to continuously improve matching accuracy based on hiring outcomes and recruiter feedback.
- Automated CV parsing with intelligent extraction of skills, experience, and qualifications
- Smart matching algorithm scoring candidates against job requirements
- Customisable weighting for must-have versus nice-to-have criteria
- Analytics dashboard with hiring insights and pipeline visibility
- Continuous learning from hiring outcomes to improve match accuracy
Built with Enterprise-Grade Technology
Goals and Objectives
The client came to us with clear objectives to transform their operations.
Reduce Time-to-Hire
Cut the recruitment cycle significantly by automating CV screening and candidate shortlisting
Lower Recruitment Costs
Reduce per-hire costs through automation and improved efficiency
Improve Match Quality
Increase the accuracy of candidate-to-job matching using AI-driven analysis
Free HR for Strategic Work
Allow recruitment team to focus on candidate relationships and client engagement
Enable Data-Driven Decisions
Provide analytics and insights to continuously improve hiring outcomes
How It All Works Together
CV Parsing Engine
NLP-powered document processing extracts structured data from CVs in various formats including PDF, DOCX, and plain text. Identifies skills, experience, education, and contact information automatically.
Matching Algorithm
Machine learning model scores candidates against job requirements using semantic understanding. Supports customisable weighting for required versus preferred qualifications.
Analytics and Reporting
Dashboard provides visibility into candidate pipeline, hiring funnel metrics, and matching performance. Tracks time-to-hire, conversion rates, and source effectiveness.
Value and Impact Delivered
Measurable improvements across every dimension of operations.
Time-to-Hire Reduction
Halved the recruitment cycle by automating CV screening and accelerating candidate shortlisting.
Cost Savings
Reduced overall recruitment costs through automation and improved process efficiency.
Match Accuracy
High-accuracy matching ensures recruiters spend time on genuinely qualified candidates.
HR Workload Reduced
Freed HR personnel from manual screening to focus on candidate engagement and strategic tasks.
Data-Driven Hiring
Comprehensive analytics enable informed decisions based on hiring data and outcomes.
Ready to Transform Your HR & Recruitment Operations?
See how AI can help your organisation reduce errors, speed up processing, and improve outcomes. Let's discuss your specific challenges.
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