Automating 50,000 Interviews per Month: How NexaRecruit Scaled Without Headcount

By: Elena Rodriguez
February 12, 2026
HR Tech, Recruitment
HR Automation
600% Increase in Screening Volume
14d Saved per Hire
4.8/5 Candidate Satisfaction

High-volume hiring is a logistical nightmare. For NexaRecruit, a staffing giant specializing in retail and logistics, the post-pandemic hiring boom was breaking their funnel. With 50,000 applicants flooding in monthly, their team of 40 recruiters was drowning in phone screens.

The math was impossible: 50,000 applicants * 15 minutes per screen = 12,500 hours of talk time. They attempted to hire more junior recruiters, but quality plummeted and turnover spiked. They needed to clone their best recruiters.

The Bottleneck: The Phone Screen Ceiling

Traditional logic says "hire more people to hire more people." But NexaRecruit realized that 80% of a phone screen is repetitive data validation: "Are you authorized to work?", "Can you work weekends?", "Do you have a driver's license?".

Human recruiters were burning out asking the same 5 questions 40 times a day, often missing nuanced signals from high-quality candidates because of fatigue.

"Our time-to-hire was 25 days. In the gig economy, if you don't hire in 48 hours, they're gone. We needed speed, but we couldn't sacrifice the human touch. Qore gave us both."

— Marcus Thorn, VP of Operations at NexaRecruit

The Solution: Interactive Voice Interviews

NexaRecruit integrated Qore's Voice AI to conduct the entire L1 screening process. Unlike static forms or chatbots, the voice agent conducts a natural, bi-directional interview:

  • Dynamic Qualification: The agent dynamically adjusts questions based on role requirements (e.g., asking for CDL details only if a driving role is selected).
  • Soft Skill Analysis: Analyzing tone, confidence, and communication clarity to score candidates on "customer readiness."
  • Instant Scheduling: If a candidate passes the voice screen, the AI integrates with Calendly to book a final interview with a human recruiter instantly.

Technical Deep Dive: The "Empathy Engine"

The core differentiator was the "Empathy Engine." Candidates often get nervous during automated calls. Qore's agents were tuned with latency-aware pauses and affirmative listening sounds ("I see," "That makes sense") to make candidates feel heard.

We implemented a Retrieval-Augmented Generation (RAG) pipeline that allowed the AI to answer candidate questions about company culture and benefits accurately, drawing from NexaRecruit's internal knowledge base in real-time.

The Results: Hyper-Scaling Recruitment

The transformation was absolute. NexaRecruit went from processing 8,000 screens/month to 50,000+ without adding a single recruiter.

  • Time-to-Hire: Dropped from 25 days to 4 days. Top candidates are secured before competitors even call them.
  • Candidate Sentiment: 4.8/5 stars. Candidates preferred the instant availability of the AI over waiting days for a human scheduler.
  • Recruiter Happiness: Retention soared as human recruiters focused 100% of their time on closing qualified candidates rather than screening unqualified ones.
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