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