Example Use Case:
Target fleet savings of $0.10/km travelled using connected data analytics to drive decisions.
Unlocking Fleet Profitability
A data-driven breakdown of how Conifr's Operational Intelligence platform delivers significant, measurable savings for large-scale transport operators.
1. The Anatomy of Your Current Cost per Kilometre
For a fleet of 100 prime movers, each travelling ~100,000 km/year (10,000,000 km total), the operational costs are substantial. Here's a conservative breakdown:
| Cost Category | Unit Cost (/km) | Notes |
|---|---|---|
| Fuel | $0.70 – $0.90 | 0.4–0.45 L/km @ $1.80–$2.00 /L |
| Maintenance | $0.08 – $0.12 | Scheduled services, repairs, tyres |
| Labour (Drivers) | $0.50 – $0.65 | $35–$45 /hr @ ~60 km/hr |
| Insurance | $0.12 – $0.18 | $20,000–$30,000 per truck/year |
| Admin & Overheads | $0.03 – $0.07 | Fleet admin, compliance, reporting |
| Total Annual Cost | $1.43 – $1.92 /km ⇒ ~$14M – $19M per year | |
A $0.10 /km saving translates to approximately $1,000,000 in annual bottom-line impact.
2. How Conifr Delivers the Savings
Fuel-Cost Anomalies & Efficiency
- Automated fuel-invoice ingestion (or from existing FMS key data) tags cost per vehicle and builds a detailed time-series.
- Anomaly detection flags spikes (idle time, off-route fill-ups, larger than possible fills) to curb unauthorised use.
- Fleet benchmarking (based on efficiency metrics) identifies worst performers for targeted training or route changes.
Impact: 5–10% fuel reduction → $0.035–$0.090 /km
Proactive Maintenance Scheduling
- Maintenance-log/job automation links service records and costs to each vehicle/component.
- Predictive alerts warn when repair spend/km climbs above the fleet mean for timely preventive works.
- Downtime is reduced through fewer breakdowns and better leverage of warranty repairs.
Impact: 5–8% maintenance cut → $0.004–$0.010 /km
Labour & Admin Efficiency
- Timesheet & docket ingestion automates the reconciliation of hours worked vs. billed work.
- Back-office admin workload is slashed by up to 90% for manual data entry and reporting tasks.
Impact: ~$200,000/year admin saving → $0.02 /km
Insurance & Risk Optimisation
- Centralised claims data correlates incidents by vehicle, driver, route, and insurer.
- Leverages safety and performance data to negotiate lower premiums with insurers.
Impact: 5–10% premium reduction → $0.015–$0.025 /km
3. Visualizing the Aggregate Savings Potential
When combined, these individual gains stack up to create a significant reduction in your total cost per kilometre. This chart illustrates the potential range of savings across each category.
Fuel
Maintenance
Admin
Insurance
A conservative combined saving of $0.06 /km is achievable, with stacked gains reaching or exceeding $0.10 /km.
4. Is a $0.10/km Saving Too Ambitious?
The path to significant savings is a phased approach, de-risked at every step:
- Start with a focused fuel-efficiency pilot (ingesting fuel invoices and telematics data).
- Scale across all vehicles once the initial gains are proven and the ROI is clear.
- Phase in maintenance and administrative efficiencies for further financial uplift.
For any transport operator under margin pressure, a 5–7% improvement in total cost-per-km is a game-changer. Conifr is designed to deliver exactly that.