Stop Wasting Time on Low-Value Freight Leads Prioritize Shippers Who Actually Convert
In the high-stakes world of freight brokerage, 80% of leads never yield a load, according to industry benchmarks from Transport Topics. Our custom lead scoring system changes that, boosting conversion rates by up to 35% for efficiency-focused operations like yours.
Join 150+ businesses with streamlined freight pipelines
The "Lead Overload" Problem
Sifting through unqualified shipper inquiries amid fluctuating spot market rates and volatile fuel surcharges
Manual vetting of freight brokers eating into peak-season dispatch capacity for OTR and regional hauls
Missing high-value dedicated lanes because low-priority leads clog your TMS-integrated CRM
Inaccurate scoring from generic tools ignoring carrier-specific metrics like lane density and equipment utilization rates
Delayed conversions during tight capacity windows on high-demand corridors, leading to empty backhauls and deadhead miles
Over-reliance on outdated RFP responses that don't predict actual booking intent for LTL or FTL shipments
Tailored Lead Scoring Built for Your Freight Workflow
With over a decade in logistics AI, we've engineered systems that have optimized lead pipelines for 50+ freight firms, delivering measurable ROI in under 90 days.
Why Choose Us
One-size-fits-all scoring tools treat every lead like a standard pallet. But in freight, that's a recipe for inefficiency—like dispatching a flatbed for an LTL job. At AIQ Labs, we build a custom predictive model from the ground up, trained on your unique data: historical bookings, lane preferences, shipper volumes, and even seasonal surges. This isn't assembly-line software. It's a precision instrument, scoring leads in real-time based on conversion likelihood. Your team gets a unified dashboard that flags hot prospects, integrates with your TMS, and adapts as your routes evolve. Efficiency skyrockets. Results follow.
What Makes Us Different:
Unlock Freight Efficiency Like Never Before
Precision Prioritization of High-Volume Shippers
Precision Prioritization of High-Volume Shippers: Imagine your sales team zeroing in on leads with 70%+ conversion potential for reefer and dry van loads, based on benchmarks from Armstrong & Associates. Our system analyzes behavior signals—like RFP engagement, lane matches, and historical tender acceptance rates—to rank prospects, slashing time on cold calls by 40% and filling your capacity gaps on key Midwest corridors faster.
Boosted Revenue from Optimized Lane Coverage
Boosted Revenue from Optimized Lane Coverage: Generic tools miss the nuances of your carrier network, including backhaul pairing and drop-and-hook efficiency. We customize scoring to highlight backhaul opportunities and seasonal peaks in hazmat or flatbed freight, driving a 28% uplift in booked loads per our client data within the first quarter. No more empty miles—your operations run like a well-oiled convoy across intermodal hubs.
Real-Time Adaptability to Market Shifts
Real-Time Adaptability to Market Shifts: Freight markets turn on a dime with sudden surges in import volumes or carrier capacity crunches. Our AI evolves with your data, rescoring leads daily to account for spot rate fluctuations, detention fees, and real-time ELD-tracked availability. Clients report 35% faster deal cycles on cross-border lanes, turning potential disruptions into competitive edges during peak seasons like Q4 holiday rushes.
What Clients Say
"Before AIQ, our team was buried under 200 broker inquiries a week for our reefer fleet, but only 15% turned into actual FTL bookings. After implementing their custom scoring tailored to our lane density metrics, we're hitting 40% conversions on targeted high-volume shippers, and our dispatchers aren't chasing ghosts on empty backhauls anymore. Saved us about 20 hours a week during harvest season peaks."
Mike Harlan
Operations Manager, Midwest Freight Brokers Inc., specializing in temperature-controlled Midwest routes
"We handle dry van and reefer loads across the Midwest, including tricky backhauls from Chicago to St. Louis, and generic CRM scoring just didn't cut it for our lane-specific needs. AIQ built a system that factors in our historical equipment utilization and tender rejection data—bookings jumped 25% in three months, and we're finally optimizing those regional routes without the guesswork, even during fuel price spikes."
Sarah Kline
Sales Director, TransLink Logistics LLC, focused on intermodal and regional trucking
"Spot market volatility was killing our lead follow-up on West Coast import lanes. Their AI now predicts which shipper inquiries will stick, even during peak holiday surges with detention and demurrage risks. We've reduced no-shows by half, filled more capacity on our flatbed trailers, and cut deadhead miles—it's like having an extra broker on the team who never sleeps through rate tender deadlines."
Tom Reyes
VP of Business Development, Horizon Carriers Group, managing Pacific Northwest freight networks
Simple 3-Step Process
Discovery and Data Mapping
We dive into your freight operations—reviewing TMS data, historical loads, and shipper interactions—to map out what defines a winning lead for your network.
Custom Model Development
Our engineers build and train the AI using your metrics, testing against real scenarios like lane imbalances to ensure accuracy from day one.
Integration and Launch
Seamless rollout into your workflow with a tailored dashboard, plus training so your team hits the ground running on prioritized leads.
Why We're Different
What's Included
Common Questions
How does your lead scoring handle the unique variables in freight like lane-specific rates?
We customize the model to weigh factors critical to freight, such as historical lane profitability, shipper volume reliability, and distance metrics. Unlike generic tools, ours ingests data from your TMS to score leads on conversion likelihood tailored to your routes. For instance, a high-volume LTL shipper on your core Midwest lane might score 90/100, while a sporadic long-haul gets 40. This setup has helped clients like regional brokers increase targeted outreach by 45%, directly tying scores to your operational realities. Implementation starts with a data audit to ensure accuracy from launch.
What data sources do you use to build the scoring model for our freight company?
We pull from your internal goldmines: CRM records of past inquiries, TMS load data, email interactions, and even external benchmarks like DAT rate trends. No assumptions—everything's calibrated to your operation. For a typical freight firm, this means analyzing 6-12 months of bookings to identify patterns, like which shipper types book during off-peak. The result? A model that's 85% accurate out of the gate, per our deployment stats, and it evolves as you feed it more data. We prioritize secure, compliant integration to keep your carrier info protected.
How long does it take to see results from a custom lead scoring system?
Most freight clients see initial wins in 4-6 weeks post-launch, with full optimization by month three. We kick off with a quick data sync and model training, then roll out a beta dashboard for testing on live leads. Early feedback loops let us tweak for your workflow—say, prioritizing reefer over dry van. One broker reported a 22% uptick in conversions within the first month, as their team focused on scored hot leads instead of spraying emails. It's not overnight magic, but the efficiency gains compound quickly in fast-moving logistics.
Can this integrate with our existing TMS and CRM without disrupting operations?
Absolutely—disruption-free is our standard. We use robust, two-way APIs to connect with platforms like McLeod, TMS360, or Salesforce, ensuring leads flow automatically without manual entry. For example, a scored lead from your inbox triggers a TMS alert for available capacity. Our engineers handle the heavy lifting, testing integrations in a sandbox first to avoid downtime. Clients in high-volume ops report zero interruptions, and the unified view cuts cross-system checks by 60%. It's built to slot into your daily rhythm, not overhaul it.
What makes your lead scoring different from off-the-shelf tools like HubSpot for freight?
Off-the-shelf solutions apply blanket algorithms that ignore freight nuances, like backhaul potential or carrier matching. We engineer a bespoke model using your data—think scoring a lead higher if it aligns with your empty miles data. This custom fit delivers 30-40% better precision, based on our benchmarks. Plus, you own it outright, no recurring fees eating into margins. For a mid-sized broker, this meant shifting from 15% to 42% conversion rates by focusing on logistics-specific signals. We're builders, not resellers, so it scales with your growth without hidden limits.
How do you ensure the AI stays accurate as our freight market changes?
Adaptability is core—we design the system with continuous learning loops, retraining quarterly on fresh data like seasonal volume shifts or rate index updates. You provide ongoing inputs via simple uploads, and our AI auto-adjusts scores without manual intervention. In volatile markets, this has kept client accuracy above 82%, even during events like the 2023 port strikes. We also include audit tools so you can review and refine rules, ensuring it always reflects your current lanes and shipper dynamics. It's proactive, not reactive, keeping your pipeline ahead of the curve.
Ready to Get Started?
Book your free consultation and discover how we can transform your business with AI.