Built for VPs of Logistics, Operations Managers, and 3PL coordinators running intermodal networks across rail, road, and barge. Every outbound load gets a probability-weighted return-leg match the moment the POD photo lands. No load-board scrolling. No deadhead home.
Craig and Michael have spent 10+ years aggregating the complex for 1,000+ organizations. In intermodal logistics, the complex shows up as dispatchers scrolling three load boards after the drop, single-mode tools that miss the rail-to-barge return leg, and 300-mile deadheads burning fuel and HOS for zero revenue. Truzer.ai is what they built so the operators living with that reality every day stop running trucks home empty.
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Sam Thompson, the Operations Manager, is about to experience the relief of having costly Empty Legs Eliminated.
Monitors post-dispatch for escalations back to the hub. Needs quick visibility into issues to reassign if needed.
Navigates en route, reporting/responding to updates hands-free. Wants intuitive visuals and minimal distractions.
Oversees the entire ecosystem for performance and risks. Requires holistic views to maintain KPIs.
Tracks their delivery in real-time, providing/receiving updates as needed. Expects transparency and flexibility.
PROBLEM → OUTCOME
And how Truzer turns the empty leg into a revenue leg.
Dispatchers scroll three load boards to find a return leg the cube tool never planned for. Truzer's ontology matches every outbound load to a probability-weighted return leg before the truck leaves the dock
The dispatcher solves for trucks. The rail desk solves for rail. The return leg sits in the gap between them. Truzer triangulates across rail, road, and barge in one ontology and finds the match the single-mode operator misses.
A 300-mile deadhead burns fuel, consumes the driver's HOS, and earns zero revenue. Truzer scores every triangulation alternative against fuel cost, CO2, compliance, and modal compatibility before the dispatcher commits.
Pre-departure backhaul matching for intermodal triangulation.
Mike sends pic of POD to Truzer ontology. It auto-detects his location, truck type, and availability.
The AI queries Truzer’s ontology-grounded database for intermodal matches (e.g., return container loads or multi-mode loops) against real-time data from carriers, rail schedules, and marketplaces and shares backhaul opportunities with Sarah Jenkins, at Dock & Roll’s
Truzer finds a backhaul: a compatible 40-foot container of electronics needing truck transport from Chicago back to Detroit. Projected savings: $600 in avoided deadhead + revenue from the new leg.
Triangulation alternative: Mike picks up a partial load in Milwaukee via short truck haul, connects to a barge to Chicago, then rail to Detroit for another opportunity. Pop-up details: capacity (e.g., 80% container space), ETAs, fuel/CO2 estimates, compliance and AI offers its rationale: “94% match score — ontology confirms ISO container compatibility and modal efficiency.”
Sarah reviews and selects the backhaul option for fastest asset return and best client value. She asks Truzer to simulates impacts on the client’s overall freight costs, calculating a $800 cost saving for the customer and $300 additional revenue for Dock & Roll.
Emily receives a simple text and email update which becomes part of the ontology: “Your shipment is on track. We’ve optimized the return leg to cut costs by ~15% and reduce emissions — no action needed from you.”
Mike accepts the match via simple text message; Dock & Roll handles paperwork which weaves back into the ontology.
The shipment completes successfully. Post-trip metrics: near-zero empty miles, 92% utilization.
Again, Emily receives ontology woven information through simple text and email: “Intermodal optimization saved $550 on this move through efficient backhaul matching. Your total freight cost reduced; sustainability improved.”
reduction in delivery exceptions when using Truzer.ai
Two ways to run intermodal logistics in 2026. One of them rolls home empty.
Backhaul matching
Mode coverage
Trip economics
Driver communication
Audit trail
Deployment
Commitment
48 hours from now, your next intermodal move is either still rolling home empty or it is matched to a revenue leg.
Every business we've transformed over the past decade was inflicted with the same limitations. Here's how we fix yours.
Your TMS, ERP, telematics, IoT, EDI, rail and barge schedules. All of it. Truzer aggregates the complex and maps it into a single unified ontology. No rip-and-replace. No 18-month implementation. Your systems keep running.
Right away you're immersed into a complete visual experience. Seeing every truck, every container, every return-leg opportunity in real time. Your whole operation, stupidly visible. Not yesterday's report. Not a dashboard silo. The truth, live, now.
The ontology doesn't just show your data. It maps how every load, lane, asset, driver, and constraint connects to each other. When one shipment finishes, you already know the next return-leg match. All truth. No fiction.
AI agents monitor your operation continuously. They flag empty-leg risks, surface triangulation opportunities, send proactive customer updates, and lock in backhaul matches before the truck leaves. Grounded in your ontology. Not hallucinated from generic training data.
No rip-and-replace. Truzer reads your TMS, ELD, EDI, and rail and barge schedules in place, weaves them into the ontology, and writes decisions back where your team already works.
Truzer connects to McLeod, MercuryGate, SAP TM, Manhattan, Trimble, and any homegrown TMS via read-only credentials, an API key, or an EDI feed. The TMS keeps running. Your team keeps working. The ontology fills the gap between transaction records and operational reality.
Most logistics operations bleed margin in the gap between what the TMS knows and what the spreadsheet knows. Here is the seven-discipline framework that closes it
Truzer.AI offers native integrations with 50+ leading TMS platforms. Our team handles the entire setup process, typically completing integration within 48 hours.
Absolutely. We use enterprise-grade encryption, SOC 2 Type II compliance, and never share your data with third parties. Your logistics data remains yours.
Most customers see measurable improvements within the first week. Our AI learns your specific patterns and optimizes continuously, with peak performance reached within 30 days.
Not at all. Our platform is designed for logistics professionals, not engineers. If you can use email, you can use Truzer.AI.
Book a call with Craig and Michael. Walk through your stack. See your own outbound load, your own triangulation match, your own trip trail, running on Truzer.
