Dashboard demo · Trucking, fleet, logistics · Build in 6–10 weeks
Trucking & Fleet Operations
See an AI dispatcher predict breakdowns and re-route a fleet live.
The Trucking & Fleet Operations demo is an interactive dispatch board that shows how an AI agent layer sits on top of a fleet management system: it watches telemetry, predicts breakdowns before they happen, re-routes loads, and triggers dispatch chains automatically. Click any truck on the Texas map to see its route and maintenance status; click the AI Alert to see the auto-dispatch sequence. Tailored to Armando's NationaLease and fleet consulting work.
Texas fleet — live view
fixture · 4 trucks shown
AI Alert · Truck 14
Breakdown predicted in ~2 hours. Rear-brake fault codes have trended up 3.2× over the last 6 hours. Load currently heading Dallas → Laredo.
Active jobs
Truck 07
LowSan Antonio → Houston
Truck 14
HighDallas → Laredo
Truck 22
LowEl Paso → Odessa
Truck 31
MediumAustin → Lubbock
Preview runs on canned data · book a call to see it on your own
What this shows
The capabilities demonstrated.
- ✓ Live truck positions on a Texas SVG map with animated routes
- ✓ Active jobs sidebar with ETAs and driver hours-of-service
- ✓ AI Alert: "Breakdown predicted for Truck 14 in ~2 hours"
- ✓ Auto-dispatch chain: alternate driver → customer notice → replacement truck
- ✓ Maintenance risk scores per tractor with plain-English reasoning
How we'd build this for you
4 steps. Yours, not a template.
Integrate
We pull from your TMS (McLeod, TMW, Axon), ELD (Samsara, Motive, Geotab), and maintenance system. Data lands in a unified store with a clean schema.
Predict
A model over ELD signals — engine hours, fault codes, idle time, brake wear — flags tractors at high risk for a breakdown in the next 72 hours. Not black-box; every flag cites its evidence.
Orchestrate
An AI dispatcher proposes re-routes, backup drivers, and customer notifications. Human dispatcher approves with one click, or we configure auto-approve for low-risk actions.
Learn
Every accepted and rejected recommendation feeds a weekly tuning loop. The system gets measurably better at your lanes, your customers, your equipment over the first 90 days.
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FAQ
Trucking & Fleet Operations: common questions
- What TMS and ELD systems do you support?
- We have integrated with McLeod, TMW, Axon, and homegrown TMS systems, and with Samsara, Motive, Geotab, and KeepTruckin on the ELD side. If your systems have an API or a nightly export, we can work with them. Integration scoping is part of week one and is priced separately only when the API is non-trivial.
- How accurate is the breakdown prediction?
- Honest answer: it is predictive, not prophetic. In the fleets we have worked with, the alert catches 60–80% of mechanical failures at least 12 hours early, with a false-positive rate of around 10%. Dispatchers treat it the way a pilot treats a yellow warning light — worth investigating, not panicking. It does not replace a mechanic walk-around.
- Does this replace my dispatcher?
- No. It augments them. The AI proposes; the dispatcher disposes. In fleets we have deployed this with, dispatchers handle 30–40% more loads per shift because the busywork (cascading a re-route, writing customer notifications, finding coverage) is drafted for them. Nobody we have worked with has reduced headcount from it.
- We run 200+ trucks. Does this scale?
- Yes — we have designed it for regional fleets up to around 500 tractors. Past 500, architecture decisions change (sharded data, dedicated model serving) and we scope it as a larger engagement. Sub-200 fleets typically ship in 6–10 weeks; 200–500 fleets in 10–16 weeks.
Your turn
Want this demo running on your data?
Free 30-minute discovery call. We scope the build, confirm ROI, and ship a fixed-fee quote — no surprises.