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Toll leakage: wrong class, overpaid crossings

Toll leakage is a silent revenue loss. A wrong vehicle class on file = overpayment every crossing. HGS/OGS + EU toll bills carry 5–12% error rates (Aon Eurasia Risk Report 2024).

Reason: the toll bill arrives, gets paid, never questioned. No one matches it to trip data — who’s going to manually review thousands of lines?

Trip + class + toll-bill triple matching

For each toll line, Lognari combines 3 sources:

CheckSource
Toll point crossedGPS location + timestamp
Vehicle classFleet record (axles, emission, weight)
Charged tariffToll provider CSV/API

Any deviation > 0% raises a flag.

TripToll crossedVehicle classExpectedChargedΔ
#5821DE-A2 km 380Euro 6 / 5-axle€68.40€68.400 ✅
#5823AT-A1 km 142Euro 6 / 5-axle€34.20€38.10+€3.90 🚩
#5827PL-A2 km 220Euro 6 / 5-axle EMPTY€0€22.50+€22.50 🚩

Pattern analysis: same toll, same deviation → systemic error. Refund request.

Impact by fleet size

FleetAnnual toll spend5–12% errorAnnual refund
100 trucks€350K–€500K5-12%€18K-€60K
300 trucks€1M–€1.5M5-12%€50K-€180K
1,000 trucks€3.5M–€5M5-12%€175K-€600K

Pilot — 220-truck EU export fleet

At pilot start: €780K annual toll spend. 6 months of audit:

  • 47 systematic errors detected (wrong axle class on file)
  • 12 spot errors detected (double-charge, wrong night tariff)
  • Refund requests submitted to providers

Result:

  • €34,700 refunded over 6 months
  • Annualised savings €69,400
  • Vehicle-class records corrected (future patterns avoided)

What’s next

If your annual toll spend is €200K+ and audit is manual, 5–12% error is likely. A 30-day pilot audits all toll bills.

Reach out via the contact section — reply within one business day.

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