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Case Study: Fleet and Fuel Controls Audit for a Cold-Chain Logistics Operator

Reducing fuel leakage through vehicle-level benchmarking, GPS tracking and data-driven controls

By Pratham Sharma•September 24, 2026•4 MIN READ•₹19 Crore
Client & Engagement
Cold-Chain Logistics Operator
Industry Sector
Cold-Chain Logistics
Jurisdiction & Geography
India
Practice Leadership
Risk Management & Internal Controls
Mandate Performance Metrics
Vehicles Audited28Fleet covered by the controls review
Annual Fuel Spend₹1.8 CrPre-audit annual diesel expenditure
Benchmark Variance22%Fuel spend above the fleet benchmark
Annual Savings₹32 LakhReduction in annual fuel expenditure

Executive Mandate Summary

A ₹19 crore cold-chain logistics operator engaged Northrop to investigate fuel costs that were 22% above fleet benchmarks across 28 vehicles. Northrop established vehicle-level fuel benchmarks, identified excessive consumption and investigated route, fuelling and maintenance anomalies. Following GPS tracking, fuel-card controls and monthly variance monitoring, annual fuel spend reduced from ₹1.8 crore to ₹1.48 crore, generating ₹32 lakh in annual savings.

Key Transaction & Governance Challenges

  • •
    Fuel claims were approved based on route and vehicle type without measuring expected fuel consumption against actual performance.
  • •
    Vehicle movements and non-business kilometres could not be independently verified.
  • •
    Drivers submitted fuel receipts for reimbursement without fuel-card reconciliation or automated validation.
  • •
    8 of 28 vehicles were consuming 18%–35% more fuel than their calculated benchmark, requiring investigation.

Northrop Execution Architecture & Methodology

1
Build vehicle-specific fuel consumption benchmarks using manufacturer specifications, vehicle age, route distance and refrigerated-load requirements.
2
Compare actual fuel claims against expected consumption and classify vehicles by variance level.
3
Conduct driver interviews, route observations and transaction-level verification for vehicles showing excessive variance.
4
Implement GPS tracking, fuel cards, monthly efficiency monitoring, exception thresholds and maintenance-linked fuel KPIs.

Executive Mandate Overview

A 28-vehicle cold-chain logistics operator was spending approximately ₹1.8 crore annually on diesel. The fleet had no GPS tracking, no fuel-card reconciliation and no vehicle-level fuel-efficiency benchmark.

Fuel claims were supported primarily by driver-submitted receipts and approved by the fleet supervisor based on route and vehicle type.

The absence of independent route verification and consumption benchmarking meant that excessive fuel usage could continue without a clear exception mechanism.

Northrop was engaged to assess the fleet's fuel controls, identify unexplained consumption variances and establish a measurable control framework.

Establishing the Fuel Consumption Benchmark

Northrop first established an expected fuel-consumption model for each vehicle.

The model incorporated manufacturer specifications, vehicle age, route distance and the additional fuel requirements associated with refrigerated vehicles.

Actual monthly fuel claims were then compared against the expected consumption for each vehicle.

The analysis classified the fleet into three variance bands:

  • 8 vehicles: within 5% of benchmark
  • 12 vehicles: 5%–15% above benchmark
  • 8 vehicles: 18%–35% above benchmark

The final group represented the primary investigation population.

Investigating the High-Variance Vehicles

Northrop conducted driver interviews and accompanied three drivers on delivery routes to independently observe vehicle and fuelling behaviour.

The investigation identified multiple causes behind the excessive consumption.

Two drivers were using company vehicles for personal travel during delivery routes, adding approximately 15–20 kilometres of non-business travel per day.

A separate fuel claim showed a discrepancy between the quantity stated on receipts and the observed fuel-meter reading at a station connected to the driver. A subsequent fill at another station provided an additional consumption comparison.

One vehicle had a clogged fuel filter that was contributing to approximately 25% excess fuel consumption. The maintenance issue had not been reported through the existing process.

From Trust-Based Approval to Data-Based Controls

Northrop recommended replacing receipt-driven fuel reimbursement with a data-led fleet control framework.

GPS tracking was installed across all 28 vehicles at a one-time cost of ₹1.4 lakh, with an ongoing monthly cost of ₹28,000.

Fuel cards were introduced to eliminate cash-based fuel reimbursement.

Each vehicle was assigned a monthly fuel-efficiency benchmark, with actual consumption monitored against expected performance.

A variance exceeding 10% became an automatic investigation trigger.

The vehicle maintenance schedule was also linked to fuel efficiency, making abnormal consumption an operational maintenance indicator rather than solely a finance exception.

Verifiable Institutional Outcomes & Value Realized

  • Annual fuel expenditure declined from ₹1.8 crore to ₹1.48 crore following implementation of the control framework.
  • Vehicle routes and business kilometres became independently verifiable.
  • Fuel consumption was monitored against vehicle-specific expected efficiency rather than relying solely on receipts.
  • Fuel variances exceeding 10% triggered investigation within the same month.
P

Pratham Sharma

Director•Risk & Controls Advisory
Private Mandate Advisory Desk

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