Karvia

Case study · Commercial fleets

Less downtime, fuel under control — with proof

How a 24-vehicle delivery fleet uses the 360° Vehicle Health Score and an AI copilot to prioritize maintenance and close out incidents — with an estimated ROI, not a promised one.

Illustrative composite case. Figures are annualized with the same methodology as the exposure calculator (conservative caps). This is not a named customer or a contractual guarantee — we recalculate it in the demo with your real data.

Profile
Last-mile delivery / regional distribution
Vehicles
24
Horizon
12 months (annualized model)
Channel
Web dashboard + inbox

The operational problem

Operations was reacting to roadside breakdowns and group chats with no engine context. GPS answered “where is it”, but never “is it healthy” or “was it actually fixed”. The hidden cost sat in unplanned downtime, corrective maintenance, and fuel spend nobody could verify.

Reactive downtime

Fault codes and battery drift caught late → tow truck and a missed window.

Opaque fuel spend

No link between driving behavior and OBD anomalies per vehicle.

Fragmented follow-up

Alerts landed in chat with no verification from OBD readings or fault codes.

Rollout in four steps

  1. 01
    Initial assessment

    Baseline the 360° Health Score (compliance · mechanical · driving · maintenance), list vehicles with open fault codes, and measure how long unstructured follow-up actually takes.

  2. 02
    Morpheus Key rollout

    Plug-and-play OBD-II install across 24 vehicles, pairing to the web dashboard and routing alerts into the operations inbox.

  3. 03
    Copilot + closed loop

    Morpheus AI sends actionable context with a recommended next step; operations closes it in the inbox and engine signals confirm the issue is resolved.

  4. 04
    Continuous tuning

    Health Score per vehicle, geofences, and shop scheduling ranked by risk — less unplanned downtime and less unexplained fuel spend.

What changed day to day

Health Score in the open

Every vehicle carries a 0–100 score built from four real pillars (savings is not one of them).

AI copilot

Alerts arrive with context and a recommended action, assigned to a person instead of a group chat.

Closed-loop verification

An alert does not end when it is sent: OBD and fault-code data confirm the fix where applicable.

Capped assumptions

Savings modeled from the Karvia quote methodology ($81.85/vehicle/month).

Estimated potential savings (illustrative)

Same quote methodology: 24 × $81.85 = $1,964.40/month. Year 1 investment = OBD hardware ($149/unit) + subscription ($39/device/month, 11–25 tier).

Potential savings / year
$23,573
Year 1 investment (OBD + Pro)
$14,808
Estimated net benefit
$8,765
Fuel
Idling, speeding, and efficient driving
Exp. $172,800
$10,541
6.1%
Maintenance
Predictive alerts, fault codes, and failure prevention
Exp. $72,000
$2,232
3.1%
Downtime
Early warnings and continuous operation
Exp. $72,000
$10,800
15% of fleet per year

Rerun the numbers for your own fleet size in the exposure calculator. The investment covers the OBD device plus 12 months of subscription; cameras, insurance premiums, and GPS recovery are not quantified here.

“We already had GPS. What we were missing was knowing which vehicle was about to fail — and confirming, with OBD readings and fault codes, that the repair actually worked.”

Synthesis of the composite case operating profile · Fleet operations management

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