Stop Losing Hours to Manual Dispatching and Compliance Checks Automate Your Fleet Operations with Custom AI
Trucking firms waste up to 25 hours per week on repetitive tasks like route planning and driver logs. Our AI workflows deliver 40% efficiency gains and 3x ROI in the first year by streamlining your exact operations.
Join 150+ businesses with streamlined logistics and reduced downtime
The "Fragmented Fleet" Problem
Manual route planning using outdated TMS software delays shipments by 2-3 days and inflates deadhead mileage, driving up fuel costs by 20-30%
Hours-of-service compliance checks bog down dispatchers with paperwork
Disjointed integration between ELD devices and TMS platforms leads to inaccurate load tracking, causing 15% cargo claim disputes and regulatory audit failures
Manual driver scheduling mismatches, ignoring HOS rules and layover times, cause idle bobtail miles and excessive overtime pay exceeding DOT limits
Manual invoice reconciliation from multiple shippers' BOLs slows cash flow by 45 days, leading to carrier payment disputes and strained broker relationships
Reactive maintenance alerts from telematics data result in unexpected breakdowns, causing 10-15% downtime and emergency roadside service costs for Class 8 trucks
AIQ Labs Builds Custom AI Workflows Tailored to Your Trucking Operations
With over a decade in logistics tech, we've engineered solutions for fleets facing the same chaos you do—delivering enterprise-grade automation that scales with your routes.
Why Choose Us
We don't slap together off-the-shelf tools. Instead, AIQ Labs crafts bespoke AI systems from the ground up, integrating your ELD, TMS, and dispatch software into a unified powerhouse. Imagine your fleet running like a well-oiled convoy: AI predicts optimal routes, automates driver assignments, and flags compliance risks before they derail deliveries. This isn't generic automation. It's precision-engineered for trucking realities, replacing subscription sprawl with owned, scalable intelligence that cuts through the noise of daily operations.
What Makes Us Different:
Unlock Quantifiable Gains in Fleet Efficiency
Save 20+ Hours Weekly on Dispatch Tasks
Save 20+ Hours Weekly on Dispatch Tasks: Our AI automates dynamic route optimization using real-time traffic and weather data in your TMS, slashing manual planning time for cross-dock operations. Fleets report 35% faster load turnaround at terminals, directly boosting on-road productivity and reducing empty backhaul fuel waste by up to 15%. No more dispatchers glued to spreadsheets—focus on scaling your OTR fleet instead.
Achieve 4x ROI Through Cost Reductions
Achieve 4x ROI Through Cost Reductions: By automating HOS compliance logging via ELD sync and automated invoice matching against BOLs, you eliminate errors that cost trucking companies $500K+ annually in FMCSA fines and freight claim disputes. Expect payback in 6 months for fleets over 100 trucks, with ongoing savings from optimized driver cycles and minimized detention fees.
Boost Overall Productivity by 45%
Boost Overall Productivity by 45%: AI-driven predictive alerts from telematics for PM (Preventive Maintenance) and real-time GPS tracking prevent breakdowns on I-80 routes. Drivers get instant ETAs and POD updates via mobile apps, cutting bobtail idle time and enabling 20% more LTL loads per week without adding rigs or facing capacity shortages.
What Clients Say
"Before AIQ Labs, our dispatch team spent mornings manually reconciling ELD HOS logs and rerouting for weather delays—lost two full days a week on Midwest runs. Now, the AI optimizes everything in our TMS; we cut deadhead fuel costs by 12% last quarter and zero FMCSA violations since the Q2 rollout."
Mike Harlan
Operations Manager, Horizon Freight Lines (Regional Dry Van Carrier, 150 Trucks)
"We were drowning in invoice mismatches from multiple 3PL shippers' BOLs, delaying carrier payments by 4-6 weeks during peak harvest season. Their custom AI reconciled everything automatically against our TMS data, saving us about 15 hours per driver cycle on reefer loads. Cash flow improved overnight—highly recommend for any reefer fleet over 50 units."
Sarah Kline
Fleet Director, Midwest Haulers Inc. (Refrigerated Transport Specialist, 80 Trucks)
"We integrated our TMS with AI scheduling for intermodal drayage, and it's like having an extra dispatcher during port surges. Reduced overtime by 30% in the first month, especially on West Coast routes with chassis shortages. The setup was tailored to our regional hazmat hauls—no cookie-cutter stuff here, pure ROI."
Tom Reyes
VP of Logistics, Swift Transport Solutions (Intermodal and Hazmat Carrier, 200+ Units)
Simple 3-Step Process
Discovery and Mapping
We audit your current workflows, from dispatch to delivery, identifying bottlenecks like manual HOS entries or route inefficiencies. This tailored assessment ensures our AI targets your unique pain points.
Custom AI Design and Build
Our engineers construct your system using advanced frameworks, integrating ELD data and TMS APIs for predictive routing and automated alerts. We test rigorously to match trucking's high-stakes pace.
Deployment and Optimization
Roll out with minimal disruption, training your team on the intuitive dashboard. We monitor performance for the first 30 days, fine-tuning for even greater efficiency in real-world hauls.
Why We're Different
What's Included
Common Questions
How does your AI handle the variability of trucking routes and regulations?
We design AI models specifically for trucking's unpredictability, training them on your historical data including regional regs like FMCSA hours-of-service. Unlike generic tools, our system factors in real-time variables—traffic, weather, and load specifics—to optimize routes dynamically. For instance, it can reroute around DOT checkpoints automatically. Implementation starts with a deep dive into your operations, ensuring compliance is baked in. Clients see 25% better adherence rates within months, with full audit-ready logs. This custom approach means no one-size-fits-all pitfalls; it's built for your fleet's reality, reducing fines and delays effectively.
What kind of time savings can a mid-sized trucking company expect?
Based on our work with similar fleets, you can expect 20-30 hours saved weekly per dispatcher by automating routine tasks like route planning and log entries. One client, a 75-truck operation, cut dispatch cycles from 2 hours to 30 minutes per load. This translates to 40% overall efficiency gains, freeing staff for strategic decisions. ROI hits quickly—often 3-6 months—through reduced fuel (10-15%) and overtime costs. We quantify this during discovery, tailoring to your scale, so savings are precise, not promised vaguely. It's all about turning wasted wheel-spinning into profitable miles.
Is the AI system secure for sensitive fleet data like driver locations?
Security is paramount in trucking, where data breaches can mean regulatory nightmares. We build with enterprise-grade encryption, SOC 2 compliance, and role-based access, ensuring GPS and ELD data stays protected. Unlike cloud-heavy no-code platforms, our owned systems let you control hosting—on-prem or secure cloud. We've integrated with secure telematics providers without a single incident. Features include anonymized tracking for privacy and audit logs for every access. For your peace of mind, we conduct penetration testing pre-launch, aligning with DOT data standards. This fortifies your operations against cyber threats common in logistics.
How do you integrate with our existing TMS or ELD systems?
Integration is our specialty—we create two-way API connections that sync data effortlessly between your TMS (like Samsara or Motive ELD) and our AI workflows. No more manual exports; think automatic population of load statuses and driver availabilities. We map your exact data flows during the build phase, handling custom fields unique to trucking. A recent project linked a client's McLeod TMS to our system in under two weeks, eliminating double-entry errors. Post-launch, we provide ongoing support to adapt as your tools update. This seamless fabric turns disjointed systems into a cohesive command center for your fleet.
What's the timeline for implementing AI workflow automation?
For most trucking companies, we deliver a fully functional system in 8-12 weeks, depending on complexity. Week 1-2: Discovery and planning your custom needs. Weeks 3-6: Building and integrating with your ELD/TMS. Weeks 7-8: Testing in a pilot with a subset of routes. Then, full rollout with training. We've accelerated for urgent cases, like a seasonal hauler who went live in 6 weeks. Unlike rigid SaaS setups, our agile process minimizes disruption—no fleet downtime during go-live. You'll see quick wins early, with full optimization by month three, ensuring smooth adoption across dispatch and drivers.
Can this scale if our fleet grows from 50 to 200 trucks?
Absolutely—our architecture is designed for scalability, using modular AI frameworks that handle exponential data growth without performance dips. As your fleet expands, the system auto-scales cloud resources or on-prem capacity, maintaining real-time responsiveness for larger route volumes. A client doubled their trucks post-implementation; we just tweaked the models for new patterns, adding features like multi-depot support in days. No rip-and-replace needed. This future-proofs your investment, supporting growth from regional to national ops while keeping costs predictable and efficiency high.
Ready to Get Started?
Book your free consultation and discover how we can transform your business with AI.