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How AI Interviews Helped a Logistics Hiring Team Cut Time-to-Hire with our Voice AI Recruiter

How AI Interviews Helped a Logistics Hiring Team Cut Time-to-Hire with our Voice AI Recruiter

Published on
June 25, 2025

Background
A large Amazon logistics provider was scaling fast—and struggling to keep up with hiring demands. The traditional process involved constant back-and-forth: coordinating interviews, manually screening resumes, and chasing no-show candidates. It was frustrating, time-consuming, and unsustainable.

Challenge
This team was hiring for high-turnover delivery roles and facing a common but critical issue: 50% of candidates ghosted at each stage. Every missed interview meant wasted time and stalled operations. Plus, the HR manager was juggling 15+ interview slots daily with minimal visibility into candidate quality.

Solution
They turned to HRMLESS, powered by Nerva AI, to transform their hiring workflow from reactive to effortless.

  • AI-Powered Pre-Screening: Candidates completed automated AI interviews at their convenience—24/7 and on any device.
  • Instant Scoring & Summaries: The system auto-scored candidates and flagged top talent based on criteria like background eligibility and communication skills.
  • Self-Scheduled Interviews: Only qualified, engaged candidates were invited to schedule live interviews, dramatically reducing no-shows.

Implementation Highlights

  • Setup in Minutes: The team uploaded a CSV file of candidates and customized their interview questions and scoring rubric.
  • End-to-End Automation: From invite to interview, everything was managed by HRMLESS—no manual coordination needed.
  • Integrated Scheduling: The AI synced with the team’s calendar to eliminate scheduling headaches.

Results

  • 62% Faster Time-to-Hire: The automated workflow slashed unnecessary steps and delays.
  • 50% Fewer No-Shows: Only candidates who completed a 10-minute AI interview received scheduling links—screening for intent and interest.
  • 3x Increase in Candidate Pipeline: The asynchronous model allowed candidates to engage at any time, leading to a major lift in applications.
  • +30 Hours Saved per Month: HR and operations teams gained back critical hours to focus on people, not paperwork.

Customer Voice

“I’m saving at least 30 hours a month prescreening applicants with Nerva.”
Jannae Ray, Marathon Logistics

Conclusion
With HRMLESS, this logistics team didn’t just fix a broken process—they reimagined it. By automating screening, scoring, and scheduling, they created a hiring funnel that runs 24/7, filters for quality, and adapts to scale.