This logistics partner operates one of the most demanding high-volume hiring programs in the country: 30,000 package handler hires annually, spread across locations nationwide, with recruiting needs that scale dramatically from a steady baseline in the early months of the year to a significant peak-season surge in Q4.
Hueman had been the RPO partner managing this program for some time, with an embedded recruiting team that scaled up and down with the hiring calendar. The partnership was delivering. But in every high-volume logistics recruiting operation, one structural constraint doesn't change with headcount: phone screening.
At this scale, phone screening consumed 40% of every recruiter's working time. That's not a margin inefficiency. It's the dominant cost driver in the entire program. And it was the clearest opportunity for Hueman AI to make a meaningful impact.
Phone screening is the single largest consumer of recruiter time in high-volume logistics hiring. For a team responsible for 30,000 package handler hires a year, screening every applicant by phone meant recruiters spent a large share of each week on repetitive qualification calls instead of candidate engagement, hiring manager relationships, and the decisions that keep sites staffed.
The role mix made it especially acute. Package handler requirements are consistent from market to market, so the screening conversation is largely the same every time. Volume was high, and it climbed sharply heading into peak season. Because many candidates apply in the evening or between shifts, limiting screening to business hours meant applicants waited, and in a competitive labor market, some took other offers before a recruiter could reach them.
That gap is what the program was built to close.
The question was never whether the model would work in logistics. It was how quickly it could be proven at this scale, and what that would mean for the economics of one of the largest RPO contracts in the portfolio.
Hueman activated AI screening across 13 locations as a focused deployment to prove the model at logistics scale before expanding across the full program. Setup, configuration, and compliance infrastructure were handled entirely by Hueman. Recruiters continued to own every candidate relationship and every hiring decision throughout.
The moment a candidate applied, Hueman AI reached out on the partner's behalf. For package handler roles where candidates often apply outside business hours, 24/7 engagement is a material advantage in a competitive labor market.
Hueman AI conducted screening conversations using client-approved questions, applied consistently to every candidate in every location. Candidates chose voice or text. No protected characteristics were collected or assessed. No variation by market, recruiter, or shift.
Post-screening reports were delivered to recruiters for review. Every advance and every decline was made by a Hueman recruiter. Hueman AI did not make hiring decisions.
All 13 locations ran in parallel from activation. For a program that requires rapid scaling across geographies, operating consistently at that breadth without proportional recruiter headcount is a core part of the value proposition.
Across 13 active markets, Hueman AI processed 1,778 candidates, completed 203 phone screens, and did so with a 98.6% autonomous handling rate, meaning only 25 candidates out of nearly 1,800 requested a human escalation. The system handled the rest end-to-end without recruiter involvement during screening.
Of the 1,778 candidates Hueman AI managed, only 25 requested a human recruiter at any point in the screening process. The remaining 98.6% moved through outreach, scheduling, and screening without any recruiter involvement at that stage. For a program that needs to process thousands of applicants across multiple markets simultaneously, that autonomy rate is what makes the model viable at scale.
Screening activity varied by market based on candidate volume and role configuration, but all active markets processed candidates simultaneously from go-live. The top markets by screen volume:
Queens, NY58screens completed |
Atlanta, GA42screens completed |
Miami (Staples)27screens completed |
Philadelphia21screens completed |
Charlotte, NC13screens completed |
Columbus, OH13screens completed |
The logistics hiring challenge is fundamentally different from healthcare or commercial recruiting. Roles move faster, volumes are higher, the geographic spread is wider, and the hiring calendar creates intense peaks that must be staffed quickly. The traditional answer has been more recruiters. Hueman AI offers a different answer.
When 98.6% of candidates can be managed through AI-led screening autonomously, engaged immediately, processed consistently, and delivered to a recruiter's queue ready for review, the relationship between hire volume and recruiter headcount changes. The program can flex without adding proportionally to team size. The screening work scales with applicant volume. Recruiters can stay focused on the decisions and relationships that require human presence.
The candidate satisfaction score underscores an important point: this experience is not a degraded version of human-led recruiting. Package handler candidates rated their Hueman AI experience 4.83 out of 5. The speed, clarity, and respect of the interaction help it work and help candidates stay engaged through the offer.
The full-program rollout is underway.
Partner typeNational logistics organization |
SolutionTech-Enabled Logistics RPO |
Annual hire target30,000 hires/year |
Engagement typeExisting RPO, AI added |
Candidates processed |
1,778 across 13 markets |
Engagement rate |
98.9% |
Autonomous handling rate |
98.6% |
Candidate satisfaction |
4.83 /5 |