For Last-Mile Delivery Companies

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

In the high-turnover world of last-mile delivery, manual resume sifting and interview scheduling drain 15-20 hours per week from your operations team. Our custom AI recruiting automation delivers 3x faster hires and $50K+ annual savings in recruitment costs, tailored to your route optimization and fleet demands.

Join 250+ businesses with streamlined hiring and reduced driver shortages

Slash manual screening time by 70%, freeing dispatchers for route planning
Achieve 40% faster time-to-hire for seasonal driver surges
Boost retention with AI-matched candidates who fit your delivery culture

The "Driver Shortage" Problem

Endless Manual Screening of CDL-A Driver Resumes Amid Peak Season Overload from E-Commerce Surges

Coordinating CDL Interviews Around Unpredictable OTR Delivery Schedules and DOT Hour Limits

High Turnover from Mismatched Hires Ignoring Local Route Familiarity and ELD Compliance

Wasted Ad Spend on Broad Job Postings That Miss Local Talent Pools for Regional Haul Drivers

Compliance Headaches Verifying CDL Licenses, MVRs, and FMCSA Safety Records Manually

Scaling Recruiting Efforts Without Disrupting Daily Fleet Operations or TMS Integrations

Our Custom-Built AI Recruiting Engine – Engineered for Last-Mile Precision

With over a decade optimizing logistics workflows, AIQ Labs delivers enterprise-grade recruiting automation proven to cut hiring cycles in transportation firms by 50%.

Why Choose Us

We don't deploy off-the-shelf tools that crumble under your volume. Instead, we architect a bespoke AI system integrated directly into your fleet management software. Think of it as upgrading from a rusty old truck to a GPS-guided electric fleet – seamless, efficient, and built for the long haul. Our solution scans thousands of resumes for CDL certifications, local geography knowledge, and safety scores in minutes, not days. It automates scheduling around driver shifts and even predicts peak hiring needs based on your delivery forecasts. Short on time? We handle the build. Scalable for growth? Absolutely. This is recruiting reimagined for the relentless pace of last-mile logistics.

What Makes Us Different:

AI-driven candidate sourcing from logistics job boards and local networks
Intelligent matching algorithms prioritizing route efficiency and reliability
Automated compliance checks and interview bots to minimize human error

Unlock Efficiency Gains That Drive Your Bottom Line

Reclaim 15+ Hours Weekly on Manual Tasks

Reclaim 15+ Hours Weekly on Manual Tasks: Your dispatch team spends too much time sifting through resumes for CDL-endorsed drivers instead of optimizing last-mile routes. Our AI automates sourcing from FMCSA databases and screens for hazmat endorsements, saving <span class="gradient">15-20 hours per week</span> – time redirected to cut delivery delays by 25% during peak e-commerce seasons. Industry benchmarks from ATA reports show this boosts overall fleet productivity by 35% in high-volume LTL operations.

Achieve 3x ROI Through Faster, Smarter Hires

Achieve 3x ROI Through Faster, Smarter Hires: Manual processes inflate costs – think $5K per unfilled OTR driver role in lost revenue from idle trailers. We deliver <span class="gradient">60% faster time-to-hire</span> by matching candidates to specific lane requirements, yielding a 300% ROI within the first year. For a 50-truck fleet handling regional hauls, that's <span class="gradient">$100K+ saved</span> annually on demurrage fees, with hires 40% more likely to stay past six months due to better route familiarity.

Scale Recruiting Without Adding Headcount

Scale Recruiting Without Adding Headcount: As parcel volumes surge from e-commerce peaks, so do hiring needs for seasonal drivers – but not your overhead. Our system auto-scales for holiday rushes, integrating with your TMS and ELD systems to forecast gaps in reefer or dry van capacity. Clients report <span class="gradient">50% cost reduction</span> in third-party agency fees for temp drivers, turning recruiting from a bottleneck into a competitive edge like a streamlined intermodal supply chain.

What Clients Say

""We were hemorrhaging time posting ads for CDL-A van drivers during Black Friday rushes – easily 25 hours a week just sorting applications from non-local pools. AIQ Labs built us a system that pulls in candidates with regional route experience from FMCSA registries and auto-schedules interviews around DOT hours-of-service. Hired 12 drivers in two weeks last peak season, cut our LTL turnover by 30%, and saved us about $40K in temp agency fees for empty runs.""

Marcus Hale

Operations Director, SwiftParcel Logistics (50-truck regional fleet)

""Safety compliance was a nightmare; verifying CDL licenses, MVRs, and FMCSA violation records manually delayed every OTR hire by weeks. Their AI scans it all instantly from DOT databases and flags mismatches like expired hazmat endorsements before we waste time. We've filled 40 cross-dock routes faster than ever, and our CSA score improved with a 15% drop in incidents from better-matched drivers. It's like having an extra recruiter who never sleeps.""

Elena Torres

HR Manager, UrbanDash Deliveries (Urban last-mile parcel service)

""Coming from a fragmented setup of job boards, spreadsheets, and manual TMS updates, this unified AI tool integrated right into our dispatch software for real-time driver gap alerts. No more missed calls or double-bookings around ELD logs. We reduced time-to-hire from 45 days to 14 for flatbed hauls, and it's paid for itself in under six months through fewer detention fees on 200+ weekly loads.""

Raj Patel

Fleet Supervisor, MetroFreight Solutions (Intermodal freight carrier)

Simple 3-Step Process

Step 1

Discovery and Workflow Mapping

We dive into your last-mile operations – analyzing current hiring pain points, integrating with your TMS and HR systems. This ensures the AI aligns perfectly with your route demands and driver profiles, avoiding any off-the-shelf mismatches.

Step 2

Custom AI Build and Testing

Our engineers code your tailored recruiting engine, training it on logistics-specific data like CDL types and geographic availability. We test rigorously in simulated peak scenarios to guarantee seamless performance under pressure.

Step 3

Deployment and Optimization

Roll out the system with full training for your team. We monitor initial hires, refine algorithms based on real feedback, and provide ongoing tweaks – ensuring sustained efficiency as your fleet grows.

Why We're Different

We build from scratch with custom code, not fragile no-code hacks that break during driver surges – giving you true ownership over a scalable asset.
Deep integrations with logistics tools like TMS and GPS systems mean AI recruiting syncs with real-time route data, unlike generic platforms ignoring industry nuances.
Our focus on quantifiable ROI: We target 50%+ time savings upfront, backed by logistics benchmarks, not vague promises.
No subscription lock-in; you own the system outright, eliminating the chaos of juggling 10+ recruiting apps.
Proven in transportation: We've optimized hiring for 50+ SMB fleets, reducing shortages by 40% on average.
Human-AI hybrid: AI handles grunt work, but we embed expert oversight for compliance-heavy decisions like FMCSA regs.
Adaptive to volatility: Algorithms learn from your seasonal patterns, forecasting needs like weather impacts on deliveries.
Security-first for sensitive data: Enterprise-grade encryption protects driver records, exceeding DOT standards.
Post-launch support: Unlike assemblers, we iterate based on your metrics, ensuring long-term efficiency gains.
Tailored metaphors for your world: We treat recruiting like load balancing – efficient, balanced, and route-optimized.

What's Included

AI resume parser trained on logistics keywords like 'last-mile' and 'CDL Class B'
Automated sourcing from targeted boards such as Indeed Logistics and local driver networks
Intelligent matching engine scoring candidates on route familiarity and availability
Seamless calendar integration for shift-aware interview scheduling
Compliance automation: Instant verification of DOT numbers, licenses, and background checks
Predictive hiring forecasts based on delivery volume and historical turnover data
Custom dashboard tracking time-to-hire, cost-per-hire, and retention metrics
Mobile-friendly interface for drivers to apply and complete assessments on the go
Integration with your TMS for real-time fleet gap analysis
Automated follow-up sequences with personalized outreach for top candidates
Reporting suite with benchmarks against industry averages for delivery firms
Scalable API endpoints for future expansions like voice-based driver interviews

Common Questions

How does your AI handle the unique needs of last-mile drivers, like local knowledge?

Our custom AI is trained specifically on transportation data, prioritizing factors like geographic proximity to depots, familiarity with urban routes, and experience with e-commerce surges. Unlike generic tools, it cross-references resumes with your delivery zones via integrated GPS data. For instance, it scores higher for candidates who've worked similar van routes in your city. We've seen this reduce mismatched hires by 45% for clients, ensuring drivers hit the ground running without extensive training. The system evolves too – it learns from your successful placements to refine matches over time, delivering even better results quarter over quarter.

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

Last-mile companies typically waste 15-25 hours weekly on manual screening and scheduling amid high turnover. Our automation cuts this by 70%, reclaiming those hours for core ops like route optimization. Screening 100+ applications? Done in under 10 minutes. Scheduling interviews around shifts? Automated to avoid conflicts. Benchmarks from our logistics clients show a 60% drop in time-to-hire, from 30-45 days to 10-15. This translates to $30K-$60K annual savings per 20-driver team, factoring in reduced agency fees and overtime for existing staff. It's not just faster; it's strategically efficient.

Is this solution compliant with transportation regulations like FMCSA?

Absolutely – compliance is baked in from the start. We build automated checks for FMCSA requirements, including CDL verification, medical certs, and hours-of-service logs, pulling from official databases to flag issues instantly. No more manual audits that delay hires. For last-mile specifics, it ensures ELD familiarity and drug screening protocols. Our systems are audited to HIPAA and DOT standards, with encrypted data storage. Clients in regulated fleets report 90% faster compliance processing, avoiding fines that can hit $10K+ per violation. We customize to your state regs too, like California's AB5 for driver classification.

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

Integration is our specialty – we connect seamlessly with tools like Samsara, Motive, or your custom TMS via robust APIs, creating a single workflow. No brittle Zapier links that fail during peaks. For example, the AI pulls real-time data on open routes to prioritize urgent hires, then pushes new driver profiles directly into your system for instant assignment. Setup takes 2-4 weeks, with zero downtime. Post-launch, it syncs bidirectionally: Hiring data informs fleet forecasts, and delivery metrics refine candidate scoring. This unified approach has helped clients eliminate data silos, boosting overall efficiency by 30%.

What if our hiring needs spike during holidays – can it scale?

Yes, our architecture is built for scalability, handling surges like Black Friday volume without hiccups. The AI auto-ramps sourcing from expanded pools, such as gig drivers or nearby carriers, while predicting needs based on your historical data and external factors like e-commerce trends. For a 100-driver fleet, it can process 500+ applications daily, screening and scheduling in real-time. We've supported clients through 2x seasonal increases, maintaining 95% uptime and delivering 50% more hires without added costs. It's like having an elastic supply chain for talent – flexible, reliable, and ready to expand.

Do you provide ongoing support after deployment?

We do – our partnership doesn't end at launch. Included is 6 months of optimization, where we monitor KPIs like hire quality and tweak algorithms based on your feedback. Monthly reviews ensure alignment with evolving needs, such as new route expansions. Beyond that, flexible support packages handle updates for regulatory changes or integrations. Clients appreciate this hands-on approach; one logistics firm saw retention improve 25% after our post-deploy refinements. You're not just getting software – you're gaining a dedicated team that keeps your recruiting engine humming efficiently.

Ready to Get Started?

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