July 24, 2025

How an Amazon DSP Hired 12 Drivers in One Week with AI-Powered Voice Recruiting

Galo Logistics used HappyFleet’s AI recruiter to cut screening time from 25 hours to just 1, boost second-round show rates 5x, and hire 12 drivers in one week—turning 120 applicants into fast, qualified hires.

Overview

Galo Logistics, a high-volume Amazon Delivery Service Partner (DSP), needed a faster and more reliable way to hire qualified delivery drivers. With manual hiring processes taking up significant time and effort, they turned to HappyFleet to automate phone interviews, score candidates instantly, and improve follow-through.

In just one week, Galo Logistics:

  • Reached over 120 applicants from a single Indeed ad

  • Screened and scored candidates automatically using AI

  • Saw a 5x improvement in second-round attendance

  • Hired 12 qualified drivers with minimal manual work

From Manual Screening to Instant Interviews

Before using HappyFleet, Galo Logistics relied on manual screening and interviews—often spending hours coordinating and evaluating candidates one by one. The process was time-consuming and resulted in low show rates for hiring events.

HappyFleet changed that. By sending a follow-up message with an instant AI phone screening link, Galo replaced manual coordination and early-stage interviews with an automated, human-like experience for every applicant.

“I ask candidates to engage with my AI agent for an interview, which has significantly reduced our time-to-screen.”

AI-Powered Interviews, Instant Scoring

With HappyFleet’s AI recruiter, Galo Logistics was able to run human-like phone interviews at scale. Applicants responded to screening and role-specific questions through an automated call experience—on their own time.

HappyFleet scored every response and ranked candidates automatically, allowing the Galo team to focus only on the most qualified.

“From 120 applicants to the 50 interested candidates that did the interview, I was able to quickly identify top talent based on the AI score.”

Results That Scale

Here’s how the hiring process unfolded using HappyFleet:

  • 120+ applicants applied via Indeed

  • A follow-up message invited candidates to complete an AI-led phone screening

  • ~50 candidates completed the automated interview

  • HappyFleet scored and ranked candidates based on pre-set screening criteria and interview questions

  • 21 candidates with a 70%+ score were invited for an in-person station visit

  • 16 candidates showed up

  • 12 were hired and entered onboarding

“I invited them for a station visit, and out of the 21, I want to say 16 came to the station. Out of those 16, I selected 12.”

Improved Show Rates and Reduced Workload

Before using HappyFleet, Galo Logistics typically saw only 10–15% of applicants show up to the second round (the station visit). After implementing AI phone screenings, that rate jumped to 76%—a dramatic improvement in candidate engagement and reliability.

“It shows there’s more engagement. People are more willing to do the interview right there and right now.”

Results at a Glance

  • Time to screen 50 candidates: Reduced from 25+ hours to ~1 hour
  • Show rate for second-round interviews: Increased from ~15% to ~76%
  • Hire rate: Improved to ~75%
  • Recruiter workload: Shifted from high manual effort to significantly reduced
  • Why It Worked

    HappyFleet gave Galo Logistics a scalable, repeatable way to hire faster—with less effort. Candidates got immediate, human-like interviews without any scheduling hassle. Recruiters focused only on top applicants. And hiring managers got better results, faster.

    “It helps us a lot with our hiring process.”

    With HappyFleet, Galo Logistics now runs smoother, more efficient hiring cycles without sacrificing quality or time.

    Let your AI recruiter handle screening, scheduling, and scoring—so your team can focus on top candidates, not repetitive tasks. Fill roles faster without the delays or manual work.

    📩 Have questions? Contact us at sales@happyfleet.ai