Estimate your fleet savings with MyTruck.AI
Tell us a few things about your operation. We'll show how much you would save and how much your uptime would improve — using coefficients derived from a validation study of 5,172 commercial vehicles with a ~24-day average failure lead time.
Long-haul: highway-dominant routes, high annual mileage. Switching presets the inputs below.
Improves data capture and model precision.
Estimated net annual savings
$210,626
Gross savings $228,626 − MyTruck.AI $18,000/yr
ROI
12.7×
Payback
0.9 mo
Breakdowns avoided / year
19
Downtime days avoided
49
Liters of diesel saved
50,160
CO₂ avoided (tons)
134
Estimate only. See methodology & data sources ↓
Where the numbers come from
Every coefficient below is conservative within the range observed during the validation of the underlying technology. We expose them so you can sanity-check the model against your own operation.
AI platform for fault prognosis in commercial vehicles, developed as part of Rômulo Gonçalves Lins' PhD research in partnership with the commercial vehicle industry.
- 5,172 commercial vehicles in the training/validation set
- 99.0% precision under 5-fold cross-validation
- ~24-day average lead time before critical failures
- −35%
Unplanned breakdowns
observed range 25–45%
- −30%
Downtime per event
scheduled vs. emergency repair
- −25%
Cost per event
planned shop work vs. roadside
- +4%
Fuel efficiency
range 2–6%, via injector/filter/NOx/brake alerts
- ×1.10
Telemetry uplift
applied when fleet already has telemetry
- Brazil operates ~3.6M commercial vehicles (Sindipeças + ANTT, as cited in the underlying academic research proposal).
- Roadside breakdown cost and days-down defaults reflect typical figures in the predictive-maintenance literature referenced by the same study.
- CO₂ factor: 2.68 kg per liter of diesel (EPA / UK DEFRA emission factors).
- Plan cost: MyTruck.AI graduated per-truck pricing — $50 (1–30) / $45 (31–200) / $40 (201+), 5-truck minimum.
An estimate, not a guarantee. Actual results depend on your operation mix, fleet age, onboard data quality and maintenance process maturity.
All calculations run entirely in your browser. No fleet data is sent to our servers from this page.
