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The industry also carries a heavier credential burden with CDL requirements, DOT physicals, HAZMAT endorsements, and TSA clearances. Verification of these credentials is regulatory, not optional. Yet we saw in many cases that the qualification process hasn't caught up.
Attraction, Engagement, and Conversion scores average 58% of max, with zero companies ranking as Getting Started with AEC
Eighty-eight percent of companies are Getting Started with Hiring Automation (HA)
HA averages 20% of the highest possible score across the industry
The 38-point AEC-HA gap means qualification gets deferred instead of happening immediately. This translates to constant turnover, the need to rehire for the same ramp agent role or CDL driver, and delayed shipping schedules that directly impact the bottomline.
Eighty-eight percent of companies are Getting Started with Hiring Automation
Thirty-six percent deploy credential verification inline, but only 18% tailor it to the role
One hundred percent of leaders deploy motivation-based matching vs. 0% of Getting Started companies
Only six percent offer automated interview scheduling inline
Only three percent deploy voice screening agents
This sector shows moderate tool usage but low orchestration maturity. Qualification is still largely post-apply rather than inline.
Sixty-four percent report automation urgency increasing
Forty-four percent use text-based screening
Thirty-nine percent use scheduling agents
Twenty-four percent report automation scaling across roles
Six companies reach Leading the Pack: MV Transportation, Southwest Airlines, DHL Group, Royal Mail, Holland Special Delivery, and United Airlines. Their HA scores range from 43 to 118, with an average of 66/145 (45% of max). What separates them is not a single capability, but rather the breadth of deployment across the inline qualification stack.
The gap between leaders and Getting Started companies is the widest observed in any industry. Leaders deploy motivation-based matching at 100% versus 0% for Getting Started. Chatbot apply and chatbot screening both show 67% leader adoption versus 0%. Pre-hire assessments run at 34% among leaders versus 0% among Getting Started. These are not marginal differences. They represent entirely different hiring models: one that qualifies candidates inside the apply flow, and one that defers everything to manual post-apply processes.
MV Transportation (82% of max) stands out as the top-performing company across the entire 2026 audit, not just within T&L. DHL Group is the only T&L company deploying voice screening agents, a capability with particular relevance for an industry where drivers and warehouse workers may not be at a computer. Knight-Swift Transportation (47% of max) demonstrates that even a company with a lower AEC score (42%) can build a strong qualification stack. The data shows that HA investment and AEC investment are independent decisions as companies don’t need a perfect career site to deploy inline qualification technology.
Only 31% of Getting Started companies verify credentials inline, and none do so at a role-specific level. For CDL driver roles, prompting for license class, endorsement type, and medical certificate status during the apply flow eliminates the single largest source of post-apply back-and-forth. A driver who doesn't hold the right endorsement should be flagged at application, not after a recruiter spends 20 minutes on a phone screen.
Fifty-six percent of Getting Started companies deploy some screening, but 89% are offering generic screenings that aren’t associated with the role or industry. For a warehouse forklift operator versus a CDL long-haul driver versus a ramp agent, the qualifying questions are fundamentally different. Role-specific screening (shift availability, equipment certifications, physical requirements) gives hiring managers a filtered shortlist instead of a raw applicant queue.
One hundred percent of leaders deploy this. For a logistics company with openings across warehouses, terminals, and driver routes in multiple geographies, matching candidates to the right role and location based on their interests, proximity, and schedule preferences reduces misapplied candidates and shortens time-to-hire.
Most Middle companies have deployed one or two capabilities in isolation. The jump to Leading requires connecting them. For example, a CDL driver applicant should be able to answer role-specific questions, confirm license and endorsement details, and book an interview slot in one session – not across three emails over a week while the driver accepts an offer from a competitor.
For candidates applying from a truck stop, a warehouse break room, or an airport gate area, a conversational apply flow on their phone that screens and qualifies in real time compresses what currently takes days into minutes. According to Aptitude Research survey data, 44% of organizations identify screening as the hiring stage most in need of AI.
Only 18% of Middle companies deploy assessments inline. For roles involving heavy equipment, commercial vehicles, or passenger safety, a brief situational or behavioral assessment embedded in the apply flow surfaces quality signals that a resume cannot provide, and reduces the risk of a bad hire in a role where the stakes are highest.
Only one organization audited deploys voice screening today. For CDL drivers who spend their day behind the wheel and warehouse associates who may not be at a computer, a voice-based screening call that qualifies, verifies credentials, and schedules an interview in a single interaction meets the candidate where they are. Their deployment proves the model works in T&L. The opportunity is for other leaders to follow.
Only one company deploys video interviews inline. For ramp agents, flight attendants, and roles where communication and situational awareness matter, a brief recorded response gives hiring managers a signal they cannot get from a form, without requiring a live interview slot that competes with operational schedules.