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Results

Real operators. Real numbers. Real before-and-after.

Every result below is measured from real operations not a pilot, not a projection. We measure what changed and by how much.

$12M+
Total annual savings across all operators
47+
Stations managed live today
99.7%
Average inventory accuracy
Average close-speed improvement
FEATURED CASE STUDY
NF
Northgate Fuels
7 stations · Fuel

5× faster month-end close

Reduced close from 5 days to under 5 hours across 7 stations. Marcus Halverson, owner-operator of Northgate Fuels, was managing a 5-day month-end close across 7 stations using a combination of spreadsheets, three disconnected tools, and a lot of Saturday morning catch-up. Fuel One changed that in week one.

“We went from a five-day month-end close to a five-hour close. I got my Saturdays back, and our CFO got a daily P&L for the first time in 12 years.”

Marcus Halverson · Owner-Operator · Northgate Fuels
$2.4M
Annual savings

Operational cost reduction in year one, including labour and shrink recovery.

Close speed

Month-end close went from 5 days to under 5 hours across all 7 stations.

99.7%
Inventory accuracy

Tank-level accuracy after 30 days of automated reconciliation.

24/7
Anomaly coverage

23 variance incidents flagged before they hit the P&L, in the first 6 months.

More operator results

RG
3 stations
$840K
Annual savings
Riverside Group

Eliminated manual inventory counting and caught $840K in shrink variances.

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SE
12 stations
99.8%
Inventory accuracy
Summit Energy

Tank-level accuracy went from 96.1% to 99.8% within 30 days of deployment.

Read full case study
BR
4 stations
40 min
Payroll processing
Bluegas Retail

Four-station payroll processing automated end-to-end. No more time-card chasing.

Read full case study
HS
2 stations
+3.6 pts
Margin improvement
Harbor & Sons

Daily P&L surfaced pricing decisions that added 3.6 margin points in 90 days.

Read full case study
KF
9 stations
23
Incidents caught early
Kinetik Fuels

AI detection flagged 23 variance incidents before they hit the P&L.

Read full case study
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