Stop Wasting Hours on Low-Quality Freight Leads Prioritize High-Value Shippers with Custom AI Lead Scoring
In the trucking industry, where margins hover at 3-5% and fuel costs eat 30% of revenue, ineffective lead pursuit drains profits. Our tailored AI solutions boost close rates by 40%, turning data into dollars for your fleet.
Join 150+ businesses with 35% faster sales cycles
The "Lead Overload" Problem
Chasing unqualified shippers floods dispatchers with dead-end leads, wasting hours on low-volume spot market opportunities that don't align with your OTR fleet capacity
Seasonal demand spikes in peak harvest or holiday freight overwhelm teams without scoring to prioritize hot lanes like Midwest reefer routes
Inaccurate carrier ratings from FMCSA data lead to risky partnerships with high-claim brokers and delayed factoring payments
Manual vetting of broker leads ignores hidden patterns in freight volume history, such as recurring LTL shipments from e-commerce shippers
Fragmented data from load boards like DAT and CRM systems causes missed opportunities in regional hauls, especially backhauls from port drayage
Fuel price volatility demands quick pivots to high-margin lanes, but generic tools can't score leads fast enough for dynamic flatbed or hazmat freight
Tailored Lead Scoring Built for Your Trucking Workflow
With over a decade in logistics AI, we've engineered solutions that cut through the noise of off-the-shelf tools
Why Choose Us
Generic lead scoring platforms treat every shipper like a generic cargo box—stacked without regard for weight or fragility. We build custom AI models from the ground up, trained on your historical data from TMS systems like McLeod or TMW. This isn't assembly-line software. It's a precision instrument, scoring leads based on factors unique to trucking: lane profitability, shipper credit scores, load consistency, and even detention time risks. Short hauls become smart pursuits. Your team focuses on what moves the needle—closing deals that fill trailers and fuel growth.
What Makes Us Different:
Unlock Efficiency in Your Lead Pipeline
Prioritize Profitable Lanes
Prioritize Profitable Lanes: Our AI identifies shippers with consistent volume and high margins in reefer or dry van segments, reducing empty miles by 25%—for instance, optimizing backhauls from Chicago to Dallas that boost your lane density without additional deadhead runs.
Accelerate Close Rates
Accelerate Close Rates: Sales teams close 40% more deals by focusing on scored high-potentials from broker RFPs, shortening the typical 45-day trucking sales cycle to under 30 days and ensuring quicker load tenders for steady revenue cycles.
Cut Operational Waste
Cut Operational Waste: Eliminate 60% of manual lead reviews for TMS-integrated data, freeing dispatchers for route optimization in ELD-tracked fleets—industry benchmarks show $150K annual savings on admin, often reinvested in IFTA compliance or driver retention incentives.
What Clients Say
"Before AIQ's system, we were buried under 200 leads a week from brokers on the DAT load board, half of which ghosted us after tentative booking. Now, scoring filters out the noise based on payment terms—we're booking 15% more reefer loads per month, and our AR days dropped from 60 to 42. It's like having a co-pilot for our sales team during peak season rushes."
Mike Harlan
Operations Director, Midwest Freight Haulers Inc., specializing in cross-dock LTL services
"Integrated this with our Samsara ELD data last quarter, and it's transformed how we chase regional dry van work in the Southeast. No more wasting time on spot market duds from Truckstop.com; we're hitting 85% utilization on targeted lanes like Atlanta to Charlotte backhauls. Saved us from hiring another sales rep, too, by automating RFP responses."
Sarah Kline
VP of Business Development, Apex Trucking Co., focused on intermodal regional hauls
"We run reefer hauls across the Midwest for produce, and volatile shippers were killing our margins with frequent detention fees. The custom scoring now flags reliable ones based on past 204/214 EDI patterns and payment history—our on-time delivery rate jumped to 98%, and we're turning leads into contracts in under 30 days, even during volatile fuel swings."
Tom Reyes
Fleet Manager, ChillRoute Logistics LLC, managing temperature-controlled Midwest routes
Simple 3-Step Process
Discovery and Data Mapping
We audit your current lead sources, TMS integrations, and historical freight data to pinpoint scoring criteria tailored to your routes and fleet size. This sets the foundation for a model that understands your unique pain points.
Custom Model Development
Our engineers build and train the AI using your data, incorporating trucking-specific variables like lane density and carrier ratings. We iterate until it predicts conversions with 90% accuracy, tested against your past deals.
Seamless Deployment and Training
We integrate the system into your CRM and dashboards, with hands-on training for your team. Go live in weeks, not months, and monitor performance with built-in analytics to refine as your operations evolve.
Why We're Different
What's Included
Common Questions
How does your lead scoring handle seasonal fluctuations in trucking demand?
Our custom models incorporate historical seasonality data from your operations, such as summer produce peaks or winter hazmat restrictions. We train the AI on patterns like Q4 e-commerce surges, adjusting scores dynamically to prioritize stable shippers during volatile periods. For instance, if your fleet focuses on refrigerated hauls, it weighs factors like historical load volumes and weather impacts. This ensures your team targets resilient leads, reducing empty backhauls by up to 30%. We also include manual overrides for sudden events, like port strikes, keeping the system flexible for your workflow.
What data sources does the system integrate with for trucking companies?
We pull from your core tools: TMS platforms like McLeod or Oracle, load boards including DAT and 123Loadboard, and CRM systems such as HubSpot. Additional enrichment comes from public sources like SaferWatch for carrier safety ratings and UCC filings for shipper financials. This creates a comprehensive profile without manual input. For a mid-sized fleet, setup takes 2-4 weeks, syncing data in real-time to score leads on metrics like payment terms and lane profitability. No more siloed info—everything feeds into one unified score.
Can this be scaled for a growing trucking fleet with multiple terminals?
Absolutely. Our architecture is built modular, handling fleets from 20 to 500 trucks across regions. We segment scoring by terminal or division—for example, scoring West Coast intermodal leads differently from Midwest flatbed ones. As you add drivers or expand routes, the system auto-scales via cloud infrastructure, processing 5,000+ leads daily without lag. Clients like regional haulers have grown 50% in capacity post-implementation, with the AI adapting seamlessly. We include performance monitoring to flag when retraining is needed, ensuring it keeps pace with your expansion.
How secure is the lead data in your custom AI system?
Security is paramount in logistics, where shipper details can involve sensitive contracts. We use enterprise-grade encryption (AES-256) for data at rest and in transit, with SOC 2 compliance and role-based access controls. Integrations follow OAuth standards, and we conduct regular audits to meet FMCSA guidelines. For trucking specifics, we anonymize route data to prevent competitive leaks. Your data stays in your owned system—no third-party sharing. In one deployment, we protected 10,000+ lead records during a cyber threat simulation, with zero breaches, giving you confidence in pursuing high-value deals.
What's the ROI timeline for implementing lead scoring in trucking?
Most clients see payback within 3-6 months. By focusing on high-scoring leads, you cut pursuit time by 50%, boosting close rates from the industry average of 20% to 35%. For a 100-truck operation, that's an extra $200K in annual revenue from optimized loads, minus our build cost. We track metrics like cost-per-lead and miles-per-gallon impact post-launch. One partner recouped investment in 90 days by reducing broker defaults, turning scored insights into immediate wins. Your exact timeline depends on fleet size, but our proven track record in logistics ensures quick value.
Do you offer training for non-technical trucking staff?
Yes, we prioritize user-friendly onboarding. Dispatchers and sales reps get hands-on sessions, focusing on practical use—like interpreting scores for a new reefer load. We provide custom guides with trucking examples, such as scoring a broker's flatbed offer against your empty miles data. Virtual and on-site options last 4-8 hours, with follow-up support. No coding required; it's dashboard-driven. Teams at similar firms report 80% adoption within a week, empowering them to make faster decisions without IT involvement.
Ready to Get Started?
Book your free consultation and discover how we can transform your business with AI.