For Last-Mile Delivery Companies

Stop Losing Drivers to Slow, Manual Hiring Processes Automate Recruiting to Cut Time-to-Hire by 60%

In the high-turnover world of last-mile delivery, manual resume sifting and scheduling can waste 15-20 hours per week per recruiter—time better spent optimizing routes and ensuring on-time deliveries. Our custom AI solutions deliver 3x faster hiring with proven ROI of 4:1 in the first year.

Join 150+ businesses with streamlined hiring and reduced turnover

Slash manual screening time by 70%, freeing your team for route planning
Automate interview scheduling to fill driver shortages in days, not weeks
Boost candidate quality with AI matching to delivery-specific skills like navigation and safety compliance

The "Driver Shortage" Problem

Endless Manual Screening of Inexperienced Driver Resumes Lacking CDL Endorsements and DOT Compliance

Delayed Interview Scheduling Amid Peak Delivery Hours

High Turnover from Poor Matches to Route Demands, Shift Flexibility, and ELD-Mandated Hours-of-Service Rules

Overwhelmed HR Teams Juggling Driver Certifications and Background Checks

Missed Hiring Windows During Seasonal Delivery Surges Like Holiday Peak and Back-to-School Freight Spikes

Inefficient Sourcing from Fragmented Job Boards, Driver Networks, and TMS-Integrated Applicant Pools

Our Custom-Built Recruiting Automation for Last-Mile Efficiency

With over a decade architecting AI for logistics giants, we've honed systems that tackle the unique chaos of driver hiring head-on.

Why Choose Us

We don't deploy off-the-shelf tools. Instead, AIQ Labs engineers a bespoke recruiting engine tailored to your last-mile operations. Picture this: AI scans resumes for CDL certifications, route optimization aptitude, and safety records, then auto-schedules interviews around your fleet's peak hours. Integrated with your dispatch software, it flags candidates who can handle urban congestion or rural runs. Short on time? Our system sources from trucking forums and gig apps, ensuring a steady pipeline. Built on enterprise-grade frameworks, it's scalable for your growth—from 50 to 500 drivers—without the subscription traps. Efficiency isn't a buzzword here; it's your new operational edge.

What Makes Us Different:

Deep integration with your TMS and HRIS for seamless driver onboarding
AI-driven matching that prioritizes skills like EV handling for green fleets
Real-time analytics on hiring metrics, like time-to-first-delivery post-hire

Unlock Quantifiable Gains in Your Hiring Pipeline

Save 15+ Hours Weekly on Manual Tasks

Save 15+ Hours Weekly on Manual Tasks: Recruiters waste hours poring over unqualified resumes from general job sites. Our AI filters for delivery pros with proven on-road records via FMCSA safety ratings and HOS logs, cutting screening time by 70%. That's more focus on FMCSA compliance checks and less on paperwork—translating to faster route coverage and a 25% drop in overtime costs for your dispatch team during peak OTR hauls.

Achieve 4:1 ROI with Faster Time-to-Hire

Achieve 4:1 ROI with Faster Time-to-Hire: Last-mile firms face 40% annual driver churn due to route mismatches. Our automation reduces hiring from 45 days to 15, filling gaps during holiday rushes with pre-vetted CDL-A drivers. Industry benchmarks from ATA show this boosts productivity by 30%, with one client reporting $150K annual savings from reduced vacancy downtime—like keeping LTL shipments moving without delays in the TMS pipeline.

Boost Retention Through Smarter Candidate Matching

Boost Retention Through Smarter Candidate Matching: Generic hiring leads to mismatches; drivers quit after a week of brutal OTR routes ignoring local DMV records. Our system scores for endurance, local knowledge, and EV charging compatibility, yielding 20% higher retention. Expect fewer no-shows on critical runs, stabilizing your fleet and improving on-time delivery scores by 15% per Carrier411 metrics.

What Clients Say

"Before AIQ, we were buried in resumes during Q4 peak season—hiring took forever, and we'd lose CDL-A drivers to competitors. Their custom system screened for our urban LTL route needs, including HOS flexibility, and scheduled interviews around dispatch shifts. We cut time-to-hire from 30 days to 10, and our turnover dropped 18% last quarter, ensuring no delays in our TMS-tracked deliveries. Game-changer for keeping urban freight on track."

Maria Gonzalez

HR Director, SwiftHaul Last-Mile Deliveries

"Manual background checks for CDL holders were killing us—hours lost verifying FMCSA safety records and PSP reports. AIQ built an integration that automates it all with our TMS and ELD systems. In the first month, we onboarded 25 OTR drivers without errors, saving about 12 hours a week on compliance. Our fleet's more reliable now, no more scrambling for last-minute fills during cross-dock surges."

Tom Reilly

Operations Manager, MetroLink Intermodal Logistics

"We struggled sourcing flexible drivers for weekend surges with EV fleet compatibility. The AI they created pulls from niche networks like Truckstop.com and matches to our dedicated routes perfectly, scoring for local endorsements. Hired 15 quality folks in two weeks during Black Friday rush—ROI was immediate with zero missed deliveries and 22% better OTP rates. Finally, a tool that gets last-mile realities in parcel logistics."

Lisa Chen

Talent Acquisition Lead, UrbanFreight EV Solutions

Simple 3-Step Process

Step 1

Discovery and Workflow Mapping

We audit your current hiring process, from sourcing drivers amid route disruptions to verifying DOT compliance. This pinpoints bottlenecks like manual shift scheduling, ensuring our build aligns with your daily grind.

Step 2

Custom AI Design and Integration

Our engineers craft a tailored system, weaving in AI for resume parsing and interview bots. It syncs with your fleet management tools, automating everything from candidate outreach to onboarding paperwork—tested for scalability as your delivery volume grows.

Step 3

Deployment, Training, and Optimization

We roll out the solution with hands-on training for your team. Monitor performance metrics like fill rates during surges, then refine for peak efficiency. You own the system outright—no endless subs, just ongoing support for your evolving needs.

Why We're Different

We build from scratch with production-grade code, unlike assemblers relying on brittle no-code hacks that crumble under logistics-scale data loads.
True ownership model eliminates subscription dependency—your recruiting AI becomes a proprietary asset, not rented software vulnerable to vendor whims.
Deep industry insight drives custom logic for last-mile quirks, like AI that weighs traffic tolerance over generic skills, far beyond generic platforms.
Scalable architecture handles seasonal spikes without hiccups, preventing the integration failures that plague off-the-shelf tools in high-volume fleets.
Unified dashboards consolidate hiring data with route analytics, creating insights no disconnected app stack can match—empowering data-driven decisions.
Proven track record in regulated spaces ensures compliance with FMCSA rules baked in, reducing audit risks that generic solutions overlook.
Hands-on engineering team iterates based on your feedback, not one-size-fits-all templates, for workflows that evolve with your business.
Focus on ROI metrics from day one, with built-in tracking for time savings and churn reduction, unlike vague promises from typical agencies.
End-to-end integration avoids the 'Frankenstein' setups of multiple tools, streamlining from sourcing to first-route assignment.
Commitment to long-term value: we train your team to maintain and expand the system, fostering independence over perpetual vendor lock-in.

What's Included

AI-powered resume screening tailored to driver skills like GPS proficiency and load handling
Automated interview scheduling that syncs with delivery shifts and fleet availability
Intelligent candidate sourcing from logistics job boards, trucking apps, and local networks
Background check automation integrated with DOT and FMCSA databases for compliance
Predictive matching algorithms that forecast driver fit for specific routes and seasons
Custom dashboard for real-time hiring KPIs, including time-to-onboard and retention forecasts
Seamless integration with your TMS for pulling route data into candidate evaluations
AI chatbots for initial driver screening, handling queries on pay, benefits, and schedules
Automated offer letter generation with personalized incentives like mileage bonuses
Retention analytics to identify at-risk hires early, based on onboarding feedback
Scalable API connections to expand as your last-mile network grows regionally
Secure, owned data storage compliant with transportation privacy standards

Common Questions

How does your recruiting automation handle the unique needs of last-mile drivers?

We customize the AI to prioritize skills critical for last-mile ops, like navigating dense urban areas or managing time-sensitive parcels. It scans for experience with hand trucks, customer interaction, and EV vehicles if that's your fleet. Unlike generic tools, our system integrates route data from your TMS to match candidates to specific demands—say, someone great for apartment deliveries versus warehouse runs. This has helped clients reduce mismatch hires by 35%, ensuring drivers stick around longer and your on-time rates stay above 95%. Setup involves mapping your workflows, so it's built for your exact challenges, not a cookie-cutter approach.

What kind of time savings can we expect in our hiring process?

For last-mile companies, manual hiring often eats 15-25 hours weekly per recruiter on screening and scheduling alone. Our automation handles 80% of that, freeing up time for strategic tasks like optimizing delivery zones. Clients typically see time-to-hire drop from 40 days to 12, with ROI hitting 4:1 through lower turnover costs. Imagine filling a sudden gap after a storm—our system sources and schedules vetted drivers in hours, not days. We track these metrics in your custom dashboard, so you see the gains immediately, backed by logistics benchmarks showing 25-30% productivity boosts.

Is the system compliant with transportation regulations like FMCSA?

Absolutely. We embed compliance from the ground up, automating checks for CDL validity, hours-of-service logs, and safety records directly from official sources. No more manual verifications that risk fines. For last-mile specifics, it flags issues like medical certs or drug testing adherence. Our engineers, with experience in regulated logistics AI, ensure everything aligns with FMCSA and DOT standards. One client avoided a $50K audit penalty post-implementation. It's all owned by you, with secure data handling to protect sensitive driver info—no third-party risks.

How do you integrate this with our existing fleet management software?

We start by auditing your stack—whether it's Samsara, Verizon Connect, or custom TMS—and build two-way APIs for seamless data flow. For instance, pull real-time route demands to inform candidate matching, or push new hires directly into scheduling. This eliminates silos; no more duplicate entries between HR and dispatch. In a recent project for a regional deliverer, integration cut onboarding errors by 90%, syncing driver profiles to fleet apps instantly. It's custom-coded for reliability, scaling with your ops without the fragility of zapier-style connectors.

What if we need to scale during peak seasons like holidays?

Our architecture is designed for surges—handling 5x candidate volume without slowdowns. The AI ramps up sourcing from gig platforms and predicts needs based on historical data, like past Black Friday spikes. We include auto-scaling features, so during a rush, it prioritizes urgent roles like weekend loaders. A delivery firm we worked with hired 40 extra drivers in Q4 without adding staff, maintaining 98% on-time rates. Post-launch, we optimize based on your data, ensuring it grows with your business—no caps or extra fees.

Do you provide training for our team on the new system?

Yes, comprehensive training is included. We conduct on-site or virtual sessions tailored to your team's roles—HR on screening dashboards, managers on analytics for driver forecasts. Hands-on modules cover everything from querying the AI for route-specific candidates to troubleshooting integrations. For last-mile teams, we emphasize quick wins like bulk scheduling during disruptions. Clients report 90% adoption within a week, with ongoing support via a dedicated portal. This empowers your staff, reducing reliance on us long-term while maximizing the system's efficiency gains.

Ready to Get Started?

Book your free consultation and discover how we can transform your business with AI.