What it means
A fuel card used at a station far from the assigned vehicle is the classic trigger for a review. Fleet fuel card transaction exception rate measures the share of fuel transactions that trigger defined verification rules, such as vehicle-card mismatch, volume anomaly or missing odometer.
It is a screening measure, not a fraud verdict, and Geotab's documentation of fuel transaction records and exception reconciliation, including matching transactions with telematics information, does not establish that an exception proves misconduct. Start by defining the rules: location mismatch, fuel type, quantity, time and repeated purchases may each warrant review, and the links between card, driver, vehicle and allowed purchases must be kept current.
Context often explains a flag, such as a vehicle in service or on a different route, a volume above tank capacity that reflects separate containers or a data error, or a diesel swipe on a petrol-only vehicle that actually fills an assigned generator. Documented emergency fuel under company policy and shared vehicles whose driver mapping changes during shifts are also legitimate causes.
Data quality creates many false positives. Local time zones, delayed card posting and delayed telematics feeds can create false mismatches, so set a reasonable matching window, and remember that missing GPS points make a location match inconclusive.
A missing or implausible odometer reading can reflect a keypad error rather than an unauthorised purchase, a minor amount difference can come from tax, exchange rate or settlement adjustments, and a miscoded station category should be investigated before assuming a restricted purchase. Count transactions, not alerts.
One purchase that triggers several rules is one flagged transaction in the overall rate, and the denominator should be eligible posted transactions in the audit period, including those after settlement, with the point-in-time rate preserved. Check reversals against the card statement before treating a voided purchase as a net cost, reconcile the card provider's bill to accounting postings before assigning responsibility, and link itemised receipts so fuel can be told apart from snacks or vehicle-care products.
Separate open exceptions from confirmed loss, because the rate counts flags while investigation results need their own categories such as valid, error, policy exception and unresolved. Track severity and age, since a large-volume outlier and a missing odometer should not be treated identically, and a high closure rate can still conceal one costly case open for months.
Report the amount ultimately established as an unauthorised or erroneous charge only after investigation, separately from the gross value of transactions initially flagged, which avoids describing unresolved exposure as a realised loss. Protect due process and keep the rules useful.
Do not accuse a driver from an automated rule alone, use a second reviewer for sensitive findings when employment consequences could follow, and link any supervisor approval or maintenance note to the original transaction instead of substituting for it. Do not reward fewer flags by turning off useful rules; test false positives, update thresholds as new vehicle types and fuel suppliers appear, compare fleets carefully because capacity, geography and fuelling arrangements differ, and restrict location and driver details to authorised reviewers.
In practice
Real-world examples.
Example
A diesel purchase on a card assigned to a petrol-only car is flagged for review. The supervisor checks the receipt and the vehicle record before drawing any conclusion. The result is recorded as a valid, error or unresolved disposition.
Example
A purchase at a distant station turns out to match an approved replacement vehicle that was covering a route in another region. The flag is closed as explained, and the original alert remains visible for audit.
Example
Two rule alerts on the same purchase, for example a quantity outlier and a missing odometer, count as one flagged transaction in the overall rate. The reviewer still sees both reasons so the case is not understated.
Formula
Calculation
Exception rate = eligible posted transactions flagged by at least one rule / all eligible posted fuel-card transactions x 100. Show confirmed loss separately.
Worked example. An invented fleet has 2,400 eligible posted fuel-card transactions in a month. The rules raise 108 alerts, but several purchases triggered two rules, so only 96 distinct transactions are flagged.
- Exception rate = 96 / 2,400 x 100 = 4%.
- The 96 flagged transactions total $20,000 in value. After review, 6 are confirmed as unauthorised, totalling $1,500, so the confirmed share of flagged value is 1,500 / 20,000 x 100 = 7.5%.
The 4% rate describes the review workload, while the $1,500 is the only amount that can be described as a confirmed loss.Case study
Seen in the real world.
This entirely fictional case follows Riverway Delivery. Its fuel report flagged a large purchase for one van. The supervisor checked the receipt and found an authorised auxiliary tank fill for a field generator. The flag was marked explained, while the original transaction and review remained visible.
Riverway then looked at why the rule had fired. The generator fills were routine but had never been recorded against the van, so the same flag appeared every few weeks. The fleet manager added an approved-purchase category for generator fuel and kept the volume rule in place for every other vehicle. This case implies no wrongdoing by a real person.
Watch out
Common mistakes.
- Calling every flagged purchase fraud.
- Counting one purchase three times because it triggered three rules.
- Ignoring reversals and delayed transaction posting.
Questions
People also ask.
Is the exception rate a fraud rate?
No. It shows transactions needing review, not confirmed misuse.
Should explained flags disappear?
No. Keep the review outcome and original alert.
What if GPS is missing?
Treat location evidence as inconclusive and seek another source.
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