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

**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**](/pub/blogs/rise-of-ai-job-interviews): 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.