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iWantFuel Asset Intelligence

About the Vehicle Asset Dashboard

The Vehicle Asset Dashboard gives you a clear view of how each vehicle in your fleet is performing. It helps you compare fuel efficiency, track fuel cost, measure variance against targets, identify high-risk assets, and spot vehicles that may require attention, investigation, or corrective action.

What this dashboard is for

This dashboard is built to help users understand vehicle fuel performance at an asset level. Instead of only looking at total litres or total spend, it gives you deeper insight into whether a vehicle is performing in line with expectations.

It is useful for:

  • Comparing vehicle fuel efficiency across your fleet
  • Identifying high-consumption vehicles
  • Measuring actual usage against expected fuel targets
  • Finding vehicles with unusually high cost per kilometre
  • Highlighting assets that may need maintenance, review, or operational intervention

Filter Section

The filters allow you to control exactly what data you want to review.

  • Vehicle Registration Number: View one specific vehicle or all vehicles
  • Minimum KM: Exclude very small samples or low-usage records
  • Start Date / End Date: Focus on a selected period
  • Performance Filter: Show best-performing or worst-performing vehicles
  • Number of Vehicles: Control how many vehicles appear in the results

Why filters matter

Good filtering helps you improve the quality of your analysis. For example, a vehicle with very low kilometres may not give a fair performance picture, while date filters help you compare specific operational periods.

A smaller, cleaner dataset usually gives a more meaningful result than a large mixed dataset.

KPI Summary Cards

The KPI cards at the top of the dashboard provide a quick summary of the selected fleet data.

  • Total Vehicles: Number of vehicles included in the current filter set
  • Total KM Travelled: Combined distance travelled
  • Total Fuel Used: Combined litres consumed
  • Expected Fuel: Estimated litres that should have been used based on target performance
  • Variance (L): Difference between actual fuel used and expected fuel
  • Variance (R): Rand value of the variance
  • Total Fuel Cost: Total fuel spend
  • Avg Cost per KM: Average operating fuel cost per kilometre
  • Avg KM per Litre: Average vehicle fuel efficiency
  • Avg Litres per 100KM: Standard fuel consumption view
  • Refuels: Total number of recorded refuels
  • Valid Periods: Number of valid reporting periods included in the results

Understanding expected fuel and variance

One of the most powerful parts of this dashboard is the comparison between actual fuel used and expected fuel used.

Expected fuel is calculated using the vehicle’s target km per litre. This gives you a benchmark for what the vehicle should ideally have used over the distance travelled.

  • Positive variance: The vehicle used more fuel than expected
  • Negative or lower variance: The vehicle performed at or better than expected

Variance in litres tells you the volume difference. Variance in rands shows you the financial impact of that difference.

Vehicle Risk Alerts

The dashboard automatically creates alerts for vehicles that may need attention. These alerts are intended to help users quickly identify assets that stand out from the norm.

Alerts may include:

  • High fuel consumption
  • High cost per kilometre
  • Low fuel efficiency
  • Period anomalies
  • Variance loss against target

Alerts do not always mean there is a fault. They highlight vehicles that deserve a closer look.

Top 10 Vehicles by KM per Litre

This chart highlights the most fuel-efficient vehicles in the selected data. It helps you quickly identify which assets are delivering the best economy.

Worst 10 Vehicles by Litres per 100KM

This chart highlights the highest-consuming vehicles. It is useful for spotting assets that may need review, driver intervention, route assessment, or mechanical inspection.

Highest 10 Vehicles by Cost per KM

This chart shows which vehicles are costing the most to run from a fuel perspective. It helps you identify where cost pressure is highest across the fleet.

Top Vehicle Highlights

This summary table gives a quick snapshot of the leading vehicles, including class, target km per litre, actual km per litre, fuel variance, rand variance, and refuel count.

It is ideal for management-level review when you want a fast summary without going into the full leaderboard.

Full Vehicle Leaderboard

The full vehicle leaderboard is the detailed analysis section of the dashboard. It shows each ranked vehicle with all the major performance figures in one place.

This includes:

  • Vehicle ranking
  • Vehicle class
  • Target km per litre
  • Total kilometres travelled
  • Total litres used
  • Expected litres
  • Variance in litres and rands
  • Total cost
  • Average price per litre
  • Average cost per kilometre
  • Average km per litre
  • Average litres per 100km
  • Total refuels
  • First fill and last fill dates

How to use this dashboard properly

  • Start with the KPI cards to understand the overall fleet picture
  • Use the filters to isolate the vehicles or period you want to review
  • Check the alerts for immediate problem vehicles
  • Use the charts to quickly identify best and worst performers
  • Use the Top Vehicle Highlights for a fast summary
  • Use the Full Vehicle Leaderboard when you need full operational detail

What this dashboard helps you improve

This dashboard helps users improve fuel control, identify waste, reduce unnecessary fuel spend, and better understand vehicle-level performance. It turns raw fleet data into a practical decision-making tool.

In simple terms, it helps you answer questions like:

  • Which vehicles are performing best?
  • Which vehicles are costing too much to run?
  • Which vehicles are over-consuming fuel?
  • Where am I losing money against target performance?

Important note

Vehicle performance should always be interpreted together with vehicle type, load, route, terrain, traffic conditions, and operating environment. This dashboard is a powerful analytical tool, but it should be used together with operational knowledge.

The goal is not only to identify poor performance, but to understand why it is happening.