AI-powered route optimization, predictive maintenance, and driver performance systems for Midwest fleet operators running I-70, the river port, and everything in between.
Diesel is expensive. Breakdowns are unpredictable. DOT audits are relentless. If you're managing a fleet without AI systems, you're competing against carriers who are, and they're undercutting you on every lane.
Fuel typically represents 35–45% of operating costs for a trucking or logistics operation. Inefficient routing, excessive idle time, aggressive driving behavior, and poor load planning compound daily. A 50-truck fleet wasting even 5% on fuel is burning $100,000+ per year before you've touched anything else.
A truck that breaks down on I-70 at 2 AM doesn't just cost the tow and the repair, it costs the load delay, the customer relationship, the driver hours, and the emergency shop rate. Reactive maintenance is the most expensive maintenance model in the industry, and it's entirely preventable.
Hard braking, excessive speed, sharp cornering, and phone distraction aren't just safety hazards, they're fuel costs, accelerated wear, insurance premiums, and liability exposure. Most fleet managers have no objective data on driver behavior until something goes wrong.
Hours-of-Service violations, missing inspection records, and FMCSA audit failures can sideline trucks and cost six figures in fines. Manual compliance tracking across a fleet of 20+ vehicles is a full-time job, and it's still error-prone.
Dispatchers making routing decisions based on experience and Google Maps are leaving significant efficiency on the table. Real-time traffic, fuel price variation by corridor, vehicle load capacity, and delivery window constraints should be handled by software, not tribal knowledge.
Customers expect real-time tracking. Shippers require proof of delivery and temperature logs. Insurers want cargo condition records. Without automated tracking, you're fielding "where's my load" calls all day, every day, while manually assembling documentation you should have generated automatically.
We don't sell fleet software. We build custom AI systems on top of your existing telematics data, ELD data, and dispatch workflows. You get capabilities your off-the-shelf TMS can't provide.
Our routing systems go beyond Google Maps. They factor in real-time diesel prices by corridor, construction delays, weight restrictions, customer delivery windows, driver HOS availability, and vehicle fuel efficiency profiles simultaneously. The result: every route your dispatcher sends is already the most cost-efficient option available at that moment. Savings average 12–22% on fuel per optimized route.
We connect your existing telematics and engine diagnostic data to a predictive model trained on OEM failure data and your fleet's specific maintenance history. The system identifies components trending toward failure, injectors, DPF systems, brake lining wear, coolant anomalies, days or weeks before the roadside call happens. Alerts route directly to your fleet manager and preferred shop for pre-scheduled service.
Build an objective, data-driven driver scorecard that measures hard braking events, acceleration patterns, idle time, speed compliance, and HOS discipline. The system generates weekly coaching reports for each driver and fleet-wide benchmarks for your safety manager. Good drivers get recognized. High-risk behaviors get addressed with data, not guesswork, reducing your insurance EMR over time.
Automated HOS monitoring, DVIR aggregation, inspection record management, and IFTA mileage reporting in one system. When an audit request comes in, you generate the complete compliance package in minutes, not days. The system flags potential violations before they become FMCSA findings, and your CSA score reflects a carrier that has its house in order.
Dispatch AI that matches available capacity to freight based on location, vehicle type, driver availability, delivery windows, and lane profitability simultaneously. Reduces empty miles, improves driver utilization, and gives your dispatch team a recommendation engine instead of a guesswork-driven process. Integrates with your existing TMS or replaces manual dispatch boards entirely.
A single command center view of every asset in your fleet, location, load status, HOS remaining, maintenance alerts, fuel level, and delivery ETA, updated live. Customers get automated status notifications. Your dispatcher sees exceptions only, not a 40-truck monitoring task. Built for desktop and mobile so your ops team can manage from anywhere.
These aren't features in a product demo. They're working systems deployed in real fleet operations that your team will use every day.
The system identifies idling patterns by driver, time of day, and location. Excessive idling alerts go to drivers via cab display and to fleet managers weekly. A 50-truck fleet cutting average idle from 90 minutes to 30 minutes per day saves over $80,000 annually at current diesel prices.
Know which lanes and customers are actually profitable after fuel, driver time, and maintenance cost. The system calculates true per-mile profitability by lane, flags unprofitable contracts at renewal time, and identifies expansion opportunities in high-margin corridors.
Driver turnover costs the industry $8,000–$12,000 per driver. Our retention models identify at-risk drivers based on behavioral signals, hours patterns, and route assignment data before they give notice, giving managers time to intervene with schedule adjustments or direct conversations.
Planning an electric fleet transition? We model your current route patterns, charging infrastructure availability, and range requirements to give you an objective analysis of which routes and vehicles are EV-ready today and which aren't yet, so your capital investment lands in the right place.
Temperature deviations, impact events, door opens in unauthorized locations, and delivery time windows at risk all trigger instant alerts. Your operations team knows about problems in real time, not after an angry customer call. Chain-of-custody documentation is automatic.
Customer arrival and departure events trigger automated notifications, proof-of-delivery records, and CRM updates without driver input. Geofence-based yard management tracks trailer positions, reduces detention time, and eliminates the "where's my trailer" call to your dispatcher.
We've built our process around the reality that fleets can't take downtime for an IT implementation. We integrate with your existing telematics and go live in phases without disrupting operations.
We review your current telematics setup, TMS, maintenance records, and dispatch workflow to identify the highest-value AI opportunities and any data gaps that need to be filled before we can build.
We connect your existing data sources, ELD systems (Samsara, KeepTruckin, Omnitracs), TMS, maintenance records, and fuel cards, into a unified data layer. No hardware changes required in most cases.
AI models are trained on your fleet's specific data, not generic industry averages. Your vehicles, your routes, your failure patterns. This is what makes predictive maintenance actually predictive instead of just a scheduled reminder system.
Phased rollout starting with the highest-ROI module. We train your dispatch team, fleet manager, and safety officer, then stay engaged for 90 days to tune model accuracy on live data and address anything that doesn't perform as expected.
St. Louis sits at the crossroads of I-70 and I-55, making it one of the most significant logistics hubs in the country. From river port drayage operations moving containers from the Terminal Railroad to Amazon distribution centers in Edwardsville and Hazelwood, to regional LTL carriers running Midwest lanes, we understand the specific routing, compliance, and operational pressures of operating out of this market. We've also built systems for specialized fleets: refrigerated carriers, flatbed operators, and tanker companies have meaningfully different telematics and compliance requirements, and we build to those specifics, not generic templates.