Improving Sales Quota Attainment by Hiring the Right Reps, Faster
A premier sales recruitment agency recognized a costly inefficiency in the market: traditional hiring, based on resumes and interviews, was failing to consistently identify top-performing sales candidates. This led to high turnover and missed revenue targets for their clients. They partnered with Evren AI to build TrackRec, an AI-driven platform that moves beyond resumes to generate a data-backed 'Sales Fit Score,' revolutionizing how sales talent is assessed and placed.
HR Technology / Sales & Recruitment
Inaccurate Candidate Vetting & High Cost of Bad Hires
Predictive AI Modeling, Custom Scoring Algorithms, Third-Party API Integration
The Strategic Imperative: Replace Gut Feel with Data-Driven Hiring
Moving Beyond Subjective Resume Reviews
The goal was to create a data-driven system that evaluates candidates against key performance indicators, like deal size and industry experience, to predict sales success.
Creating a Customizable and Relevant 'Fit Score'
The platform needed a customizable scoring system, allowing recruiters to adjust KPIs to match the specific needs of the role and business.
Enriching Candidate Profiles with Real-Time Data
The system aimed to integrate with external data sources, like Apollo.io, to enrich profiles with up-to-date, industry-specific data for a comprehensive candidate view.
What Leadership Had to Say
Victor VatusFounderPremier Sales Recruitment Agency
“TrackRec changed the way we work. We're not just matching resumes to job descriptions anymore, we're matching the right kind of salesperson to what a business actually needs. Our clients are hitting quota more often with the people we send them, and we're moving a lot faster ourselves. Evren AI really got what we were trying to solve.”
Our Blueprint for a Predictive Talent Assessment Engine
Engineered a Multi-Factor AI Scoring System
Developed the AI-powered Sales Fit Score, blending machine learning models and OpenAI to generate a reliable score based on 11 key metrics.
Built a High-Performance, Scalable Backend
Architected a microservices platform with FastAPI and Celery to handle large datasets and complex scoring, hosted on secure AWS infrastructure.
Integrated Third-Party APIs for Data Enrichment
Integrated the Apollo.io API to enrich candidate profiles with external, industry-specific data, improving the AI's scoring accuracy.
Designed for Seamless Frontend Integration
Designed TrackRec to easily integrate with existing recruiter systems, delivering a fast, modern, and SEO-friendly interface with Next.js and React.js.
The Transformational Outcome:Higher Performing Teams, Built More Efficiently
25% Increase in First-Year Rep Quota Attainment
Accurate candidate-role matching led to a significant increase in new hire performance, directly impacting revenue.
50% Faster Time-to-Hire
Streamlined recruitment reduced the hiring process by 50%, boosting operational efficiency and client satisfaction.
Materially Reduced Subjective Hiring Bias
The data-driven Sales Fit Score removed unconscious bias, focusing purely on performance indicators for hiring decisions.
A Flexible Platform for Any Sales Role
The customizable scoring system adapts to any sales role, making the platform a core strategic asset for the agency.