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FRAUD AND CORRUPT PRACTICES IN THE TRANSPORTATION AND LOGISTICS SECTOR

An article grounded in Field Experience at top leadership level, for investigation purposes

by Lt. Col. Amit Sharma, SM (retd.) Introduction


The transportation and logistics sector, valued at approximately USD 228 billion in 2024 and projected to reach USD 357 billion by 2030, remains one of the most fraud prone industries in the subcontinent. Despite its organized corporate facade, the grassroots reality is one of widespread systemic fraud perpetuated by drivers, contractors, branch managers, warehouse staff, finance teams and in some instances, C suite executives and external auditors.



This aricle synthesises approximately fifty distinct fraud typologies observed across the Indian transport ecosystem with corroborating evidence from open source data including reports mainly by the the National Highways Authority of India (NHAI) and the Logistics Sector Skill Council of India and peerreviewed academic literature. Only those fraud typologies and case studies for which sufficient independent corroboration exists are highlighted.


The article concludes that estimated annual losses to fraud and corruption range between 5% to 7% of revenues, a figure consistent with global estimates. A framework of anti fraud interventions, including technology deployment, process controls, employee vetting and active management commitmentis proposed to contain these losses.

 

1. The Indian Logistics Sector


India's freight and logistics industry is a vital artery of the national economy. According to the Logistics Sector Skill Council of India, the sector is valued at USD 354 billion and contributes approximately 13-18% to national GDP. The industry encompasses road, rail, air and sea freight, warehousing and ancillary services. Road transport alone accounts for nearly 66% of total logistics expenditure.


Despite its scale, the sector remains fundamentally unorganised. The Logistics Sector Skill Council confirms that over 99% of logistics operations are accounted for by the unorganised sector, primarily small truck operators, brokers and informal warehouse players. Over 70% of India's 3.5 million truck operators own fewer than five trucks (IBEF, 2023). This extreme fragmentation creates enormous governance gaps that are routinely exploited.

Indicator

Value / Estimate

Source

India Logistics Market Size (2024)

USD 228-317 billion

Grand View Research / Statista 2024

Projected Market Size (2030)

USD 357-484 billion

Grand View Research / Mordor Intelligence

Logistics Cost as % of GDP

13-16%

IBEF / Statista 2024

Share of Unorganised Sector

99%

Logistics Sector Skill Council

Number of Trucks in India (FY2024)

12.5 million

BlackBuck Industry Report FY2024

Number of Truck Operators

3.5 million

BlackBuck Industry Report FY2024

Operators with < 5 Trucks

>70%

IBEF, 2023

Annual CAGR (2025-2030)

7.7% - 8.8%

Grand View Research / Statista

Table 1: Key Indicators This extreme fragmentation, informality and limited digital oversight create structural conditions that are routinely exploited for fraudulent gain across every level of the supply chain. This article maps and validates the dominant fraud categories.

 

2. Global Fraud Context


The ACFE Occupational Fraud 2024: A Report to the Nations, the world's largest study of occupational fraud, analysed 1,921 cases from 138 countries and territories. Its key findings are directly applicable to the Indian transport sector:-

  • Organisations globally lose an estimated 5% of annual revenues to occupational fraud.

  • The median loss per fraud case was USD 145,000 in 2024, a 24% increase from the 2022 report.

  • Asset misappropriation (theft of cash, inventory, fuel) accounted for 89% of all cases.

  • Corruption (kickbacks, bribes, extortion) featured in 48% of all investigated cases.

  • Tips were the leading fraud detection method, accounting for 43% of all detected cases, more than three times the next most common method. Of all tips received, 52% originated from employees within the organisation.

  • 86% of fraudsters had never previously been punished for fraud by their employer.

  • More than half of cases were enabled by a lack of internal controls or management override of controls.

 

Separately, TransUnion's 2022 Global Digital Fraud Trends Report documented a 780.5% YoY increase in shipping fraud, with organized theft in the logistics sector rising more than 1,500% between 2019 and 2021. The Transportation Intermediaries Association (TIA) 2025 State of Fraud report further confirms that truckload freight is identified as the most fraud prone mode by 97% of respondents, with 22% of surveyed firms losing more than USD 200,000 to freight fraud in a single six-month period.


In India specifically, estimated logistics costs attributable to theft, damage and hidden inefficiencies were assessed by McKinsey at USD 45 billion annually, equivalent to 4.3% of GDP, a significant portion of which is driven by fraud related losses along the supply chain.

 

3. Driver Level Fraud


The conduct of the driver is the fulcrum upon which operational ethics in Indian transport either holds or collapses. Structurally, drivers operate under conditions that are conducive to fraud, they are often poorly paid (many on daily wages or trip based incentives rather than fixed salaries), geographically remote from supervisors and equipped with inadequate support systems. A 2024 industry analysis noted that attrition among long haul drivers reached 38%, driven by arduous schedules and poor roadside amenities, while fatigue contributed to 12% of truck-related accidents (Mordor Intelligence, 2024).


3.1 Fuel Fraud


Fuel is the single largest variable cost in trucking operations, and the studies suggest that fuel theft can account for up to 6% of a fleet's total fuel cost. In the Indian context, the mechanisms are well established, drivers receive either a cash advance or a petrol card to refuel at company authorised pumps. In cash scenarios, drivers frequently fill less than the authorised quantity and pocket the difference. In card based scenarios, collusion between drivers and pump attendants allows off the books fuel to be dispensed, with incentives and rebates diverted away from company accounts.


The International Road Transport Union (IRU) documents that fuel theft accounts for a significant and growing portion of cargo related theft globally, with incidents increasing 90% in 2022 and a further 77% in 2023 (WEX/IRU Fleet Fuel Report, 2023-2024). In India, the January 2019 tripartite MoUs between NHAI and oil marketing companies (IOC, BPCL, HPCL) enabling FASTag linked petrol pump payments were partly introduced to reduce such diversions. However, field reports consistently note that operators bypass these controls entirely.


3.2 Toll Booth and Permit Fraud


Prior to the mandatory nationwide rollout of FASTag in February 2021, toll booth fraud was endemic. Drivers would deviate from assigned routes, blaming GPS failure, road blocks or network outages, to pocket toll allocations by producing counterfeit receipts or by passing through unmanned single lane roads in forested or village areas. These deviations simultaneously increased accident risk and maintenance costs.


In a well documented case reported by multiple Indian news outlets in 2024, a 35 year old MCA graduate and former toll plaza employee, Alok Kumar Nath, created illegal parallel software that intercepted FASTag payments across 42 toll plazas in 14 Indian states. The software recorded only 5% of collections in the NHAI system while diverting 95% to personal accounts. At the Mirzapur Atraula Toll Plaza alone, NHAI's daily average loss was estimated at INR 45,000 (Aseem Juneja, 2024 / STF Uttar Pradesh Investigation). The scam ran for two years before being uncovered by the Special Task Force.


The FASTag system, when properly implemented, materially reduces route deviation fraud as it digitally logs toll plaza crossings. However, the paper's source material notes that some senior managers actively circumvent FasTag compliance to avoid a 0.75%-1% increase in operational costs, a short term saving that demonstrably produces larger downstream losses through accidents, delays and reputational damage.


3.3 Maintenance and Repair Fraud


Drivers are frequently provided funds for roadside emergency repairs on submission of invoices. In practice, the absence of real time approval mechanisms creates fertile ground for abuse. Drivers, in collusion with roadside mechanics and company maintenance personnel, submit inflated or fabricated bills for tyres, batteries, welding and recovery operations. In large fleet operations, these small per incident frauds aggregate into substantial losses.


The ACFE 2024 Report confirms that billing fraud, the submission of false or inflated invoices, is one of the most prevalent sub types of asset misappropriation, which itself accounts for 89% of all occupational fraud cases. In the Indian transport context, the near total absence of invoice verification systems at branch level amplifies this risk considerably.


3.4 Accident Related Fraud


Unauthorised route deviations to evade toll taxes materially increase accident probability. When accidents occur, the fraud ecosystem expands, roadside repair and recovery bills are inflated, bribery payments to administrative officials are concealed under legitimate cost headings, cargo loss claims are exaggerated and third party settlement amounts are manipulated. In some instances, drivers have been documented using OEM vehicles in transit to transport goods or passengers illegally for personal gain, with or without the knowledge of the Branch Manager.

 

4. Driver Contractor Fraud


Driver contractors in the Indian subcontinent occupy a uniquely powerful and legally ambiguous position. Typically former drivers themselves, they serve as guarantors of driver conduct and cargo safety. Many develop local political connections that insulate them from corporate accountability. Their fraudulent practices include:-


  • Withholding vehicles short of destination as a negotiating tactic with corporate management.

  • Pilfering cargo to create leverage or for direct financial gain.

  • Surreptitiously recording conversations, a sophisticated tradecraft documented in operational reviews, to create coercive material against corporate officials.

  • Coercing drivers under their supervision into participating in fuel, toll and permit frauds, often under threat of withdrawal of employment.

  • The contractor layer is one of the most resilient nodes of fraud in Indian trucking because its leverage derives partly from informal social capital (political connections, community networks) rather than formal authority, making it resistant to standard corporate anti fraud controls.

 

5. Branch Manager and Regional Management Fraud

Branch Managers (BMs) and Regional/Zonal Managers in Indian transport companies wield disproportionate operational authority relative to the oversight mechanisms applied to them. The documented patterns of fraud at this level include:-


5.1 Inflated Bribes, Commissions and Kickbacks

BMs routinely inflate the actual amounts paid as bribes (to regulatory officials, road transport officers, police) and pocket the difference. They also receive undisclosed commissions from aggregators, vendors, fuel pump operators and OEM dealerships in exchange for business directed to them. ACFE's 2024 Report establishes that corruption, including kickbacks and bribery, featured in 48% of all investigated occupational fraud cases globally, with a median loss of USD 200,000 per case.

5.2 Proof of Delivery (PoD) Management Fraud

PoD fraud at the branch level involves deliberate delay or loss of delivery confirmation documents, enabling BMs (in collusion with drivers and billing teams) to conceal unauthorised returns, avoid recovery of the remaining 20-30% trip payment balances and extract financial favours from clients by shouldering blame onto drivers. This practice is particularly prevalent in market loaded (multi-drop) consignments where PoD chains are inherently more complex.

5.3 Unauthorised Use of Owner Vehicles

A documented fraud typology involves BMs directing the booking of reverse loads outside company accounts, exploiting either vacant cargo space after legitimate loading or arranging entirely separate loads and pocketing the proceeds. In one operational case cited by the source material, space remaining in a 40 foot trailer after loading seven tractors was used to transport an automobile, with revenues diverted to personal accounts rather than recorded in company books.

5.4 Deliberate Delivery Delays and Short Deliveries

In scenarios where the same dealer serves as both origin retailer and destination retailer, BMs and drivers collude to deliver OEM vehicles short of the original destination. The cost savings on route expenses, toll taxes and fuel for the undriven final segment are shared between the BM and driver. GPS and mobile tracking are deliberately disabled for the final leg of the journey to prevent detection by the corporate operations room.

 

6. Warehouse and Storage Fraud

6.1 Storage Space Agreement Fraud

Warehousing agreements in India are typically prepared by Original Equipment Manufacturers (OEMs) with minimal scope for amendment. Duration clauses, space utilization metrics and per square foot pricing are common loopholes. A documented case involved the payment of four additional months' rentals due to ambiguity in contract termination clauses, subsequently traced to a kickback arrangement between finance leads on both counterparty sides.

The warehousing sector in India has approximately 90% of its space controlled by unorganised players (Ken Research, 2024). Warehousing fraud begins at the agreement stage and permeates through staffing, security, housekeeping and vendor contracts, with kickbacks to executives for contract awards widely reported.

6.2 Service Level Agreement (SLA) Manipulation

Space utilization ambiguities within SLAs create systematic over billing opportunities. Discrepancies as small as a few paise per square foot across large warehousing spaces translate into material profit erosion at scale. The absence of independent space measurement audits enables this fraud to persist for the duration of agreements.

 

7. Human Resource and Payroll Fraud

The transportation sector's dependence on large, distributed and high-turnover workforces makes it structurally vulnerable to HR and payroll fraud. The ACFE 2024 Report to the Nations found payroll fraud present in approximately 10% of all occupational fraud cases examined, with a median loss of USD 50,000 per case and a monthly run rate of approximately USD 2,800 while undetected. Critically, payroll schemes typically persist for around 18 months before discovery, a long window of exposure in high turnover environments such as transport and warehousing.

7.1 Ghost Employees

Ghost employee fraud involves fictitious workers enrolled on company payrolls, with salaries diverted to fraudsters' accounts. In the Indian transport context this encompasses both fabricated identities and the continued payment of departed or deceased employees. The scheme typically requires HR payroll collusion and is most prevalent where a single person controls both payroll entry and disbursement approval.

Industry sources cite that as many as 29% of businesses globally may be affected by ghost employee fraud (Truein, 2024).

High turnover industries including warehousing and transportation are identified by forensic specialists as especially vulnerable to ghost employee schemes due to fragmented oversight and manual HR processes (Aprio Forensic Services, 2025).

7.2 Payroll Manipulation and Attendance Fraud

Documented schemes include, payments for unauthorised absenteeism, salary diversion to fraudsters' accounts in collusion with employees, kickbacks received by HR staff for enrolling acquaintances and payments made to ghost contractors. These schemes are particularly difficult to detect in organisations where the same clerk processes driver attendance and authorises payroll disbursements, a fundamental segregation of duties failure.

 

8. Finance Team and Corporate Office Fraud

Finance department fraud in Indian transport companies is characterised by its sophistication and its capacity to remain undetected over extended periods. Documented schemes include:-

  • False and inflated billing for procurement with kickbacks from vendors.

  • Ghost vendor codes created to generate bills that are then encashed personally.

  • Commissions received from vendors for delayed payment authorisation, a practice that financially benefits the finance official at the direct expense of vendor relationships and company credibility.

  • Diversion of a portion of card payment incentives from affiliated petrol pumps into personal accounts.

  • Commissions received for onboarding specific petrol pump affiliates.

  • Deliberate lack of transparency in financial reporting to operations teams, a practice that creates informational asymmetries enabling further manipulation.

  • Facilitation of banking and financial statement fraud by external auditors to conceal poor results or inflate balance sheet asset values for loan procurement.

The ACFE 2024 Report confirms that financial statement fraud, while the least common scheme (5% of cases), produces the highest median losses at USD 766,000 per case, nearly 30% higher than the 2022 report. Critically, the most common controls at victim organisations included external audits (84% of cases), yet these audits failed to prevent the fraud, often because auditors themselves were complicit, as documented in the source material.

 

9. Project and C-Suite Level Fraud

Fraud at the leadership level in transport companies presents particular governance challenges because it is often sanctioned by authority, rationalised by performance pressure and concealed through audit manipulation. Three documented patterns are identified:-


9.1 Conflict of Interest in Project Procurement

Overzealous Vice Presidents or Project Heads pressuring organisations to award contracts to specific private entities, in cases where the executive received kickbacks from prior business arrangements with the same entity. In one instance, an executive directed two consecutive projects to different vendor entities, both of which resulted in significant losses, one vendor subsequently declaring bankruptcy.


9.2 Engaging Clients with Dubious Payment Credentials


A documented case involves a finance lead pressuring management to accept a project from a client with a known history of SLA violations and delayed payments, despite past breach of trust. The executive assured management of competitive project delivery, with the actual motivation being a personal financial incentive tied to project award. The resulting payment delays jeopardised the entire operational cycle.


9.3 Cash Bribery for Project Acquisition


Board Members disbursing large cash amounts to secure prestigious contracts, without adequate due diligence or CFO oversight, is documented, resulting in quarterly cash flow crises affecting employee salary disbursements for Q3 and Q4. This typology illustrates the cascading operational damage caused by C-suite ethical failures.

 

10. Fraud Risk Summary and Financial Impact

Fraud Category

Prevalence (Global Evidence)

Median Loss / Impact

Detection Method

Fuel Theft / Card Fraud

Up to 6% of fleet fuel cost (NAFA)

Cumulative; high in large fleets

Fuel audits, telemetry

Toll & Route Deviation

Widespread pre FASTag; FasTag system fraud documented

INR 45,000/day (documented case)

GPS tracking, FasTag logs

Maintenance Overbilling

Common; linked to asset misappropriation (89% of ACFE cases)

Moderate high; fleet size dependent

Invoice verification, 3-way match

Ghost Employees

29% of businesses affected globally (Truein, 2024)

USD 187,600 (Indian Railways case)

Payroll, HR reconciliation

Payroll Fraud

10% of occupational fraud cases (ACFE 2024)

Median USD 50,000/case; ~USD 2,800/month undetected

Surprise audits, segregation

Contractor Kickbacks & Billing

Corruption in 48% of all fraud cases (ACFE 2024)

Median USD 200,000 (ACFE 2024)

Vendor vetting, tip lines

PoD / Delivery Fraud

Sector specific; widespread in India

20-30% unpaid trip balances

Digital PoD systems

Financial Statement Fraud

5% of cases; highest loss (ACFE 2024)

Median USD 766,000 (ACFE 2024)

Independent audit oversight

Warehouse SLA Fraud

Common in unorganised sector (90% of Indian warehousing)

Per sq ft discrepancy x large areas

Independent space audit

C-Suite / Project Fraud

Corruption at all org. levels; harder to detect

Operational / reputational damage

Board-level oversight, whistleblower

Table 2: Fraud Risk Summary

 

11. Anti Fraud Framework


The ACFE 2024 Report establishes that organisations with anti fraud controls experience fraud losses that are 50% smaller than those without. Specific controls with the highest empirical impact include:-

Control

Evidence of Effectiveness

Application to Indian Transport

Anonymous Fraud Reporting Hotlines

Fraud losses 50% smaller at orgs with hotlines (ACFE 2024)

Deploy multilingual hotlines; protect whistleblowers legally

Surprise Audits

Significant fraud deterrent (ACFE 2024)

Conduct unannounced route, fuel, and payroll audits

Segregation of Duties

Controls absence in 50%+ of fraud cases (ACFE 2024)

Separate payroll entry, approval, and disbursement functions

GPS / Geo fencing Technology

Documented toll fraud reduction post-FasTag

Mandate real time GPS; disable override capability

Digital PoD Systems

Eliminates document loss / manipulation

Mobile based PoD with geo tagged timestamp

Fixed Salary Structures

Reduces incentive for trip/fuel fraud

Transition drivers from trip based to monthly salary + incentive

Employee Background Verification

Contractor collusion risk mitigation

Mandatory BGV for drivers, contractors, finance staff

Management Review and Training

Detected 13% of fraud (ACFE 2024)

Regular operations review with anti-fraud training modules

Vendor and Petrol Pump Audit

Kickback / commission control

Annual third party audit of affiliated fuel stations

Board Level Anti Fraud Commitment

Tone at top critical for culture (ACFE 2024)

Formal anti fraud policy ratified and communicated by Board

Table 3: Evidence Based Anti Fraud Controls


12. Conclusion


Fraud and corruption in the transportation and logistics sector represent a systemic, multidimensional risk that erodes profitability, reputation, and long term viability.


This article has documented approximately fifty distinct fraud typologies across the full operational hierarchy, from drivers and contractors to branch managers, warehouse staff, finance teams, and C-suite executives and has corroborated key typologies with open source global and Indian evidence.


Management must actively commit to anti fraud strategies. Their intentions must be clearly communicated to all employees and defaulters without ambiguity.

 

References and Sources


1. Association of Certified Fraud Examiners (ACFE). (2024). Occupational Fraud 2024: A Report to the Nations. Austin, TX: ACFE. Available at: https://acfe.com/RTTN

2. BlackBuck. (2024). India Trucking and Logistics Industry Report FY2024. Available at: https://bb-website-public-assets.s3.ap-south-1.amazonaws.com/legal-assets/pdf/Industry+Report.pdf

3. Grand View Research. (2025). India Logistics Market Size & Share 2024-2030. Available at: https://www.grandviewresearch.com/horizon/outlook/logistics-market/india

4. IBEF (India Brand Equity Foundation). (2023). India's Growing Logistics Sector. Available at: https://www.ibef.org/blogs/the-transformation-of-the-transportation-and-logistics-industry

5. Juneja, A. (2024). The FASTag Scam: How a Software Developer Masterminded Toll Fraud Across India. Available at: https://aseemjuneja.in/the-fastag-scam-how-a-software-developer-masterminded-toll-fraud-across-india/

6. Ken Research. (2024). India Logistics Market Report, Major Players, Size, Share & Trends. Available at: https://www.kenresearch.com/industry-reports/india-logistics-market

7. Logistics Sector Skill Council of India. (2024). Logistics Industry Overview. Available at: https://lsc-india.com/logistics-industry-overview

8. McKinsey & Company. (2010). Building India -- Transforming the Nation's Logistics Infrastructure [baseline logistics cost estimate; figures reflect pre-2010 analysis]. Available at: https://www.mckinsey.com/industries/travel-logistics-and-infrastructure

9. Mordor Intelligence. (2026). India Freight and Logistics Market Size & Share 2031. Available at: https://www.mordorintelligence.com/industry-reports/india-freight-logistics-market

10. National Association of Fleet Administrators (NAFA) / WEX Inc. (2024). How to Stop Fuel Theft in Its Tracks. Available at: https://www.wexinc.com/resources/blog/how-to-stop-fuel-theft-in-its-tracks/

11. NHAI / Wikipedia. (2025). FASTag -- Electronic Toll Collection System in India. Available at: https://en.wikipedia.org/wiki/FASTag

12. Statista / Economic Times. (2024). Size of Logistics Market in India in 2024 with Forecast for 2029. Available at: https://www.statista.com/statistics/1288177/india-size-of-logistics-market/

13. TransUnion. (2022). 2022 Global Digital Fraud Trends Report. Available at: https://newsroom.transunion.com/shipping-fraud-increased-nearly-800-worldwide-in-the-past-year/

14. Transportation Intermediaries Association (TIA). (2025). 2025 State of Fraud in the Industry Report. Referenced in: Inbound Logistics. Available at: https://www.inboundlogistics.com/articles/risky-business-inside-the-freight-fraud-surge/

15. Truein. (2024). Ghost Employees: What It Is, How To Prevent & Detect It? Available at: https://truein.com/blogs/ghost-employees

16. Aprio Forensic Services. (2025). Unmasking Ghost Employees: How Forensic Specialists Help Organizations Detect, Investigate, and Recover from Payroll Fraud. Available at: https://www.aprio.com/insights-events/unmasking-ghost-employees-ins-article/

17. Springer Nature. (2022). Freight Traffic Impacts and Logistics Inefficiencies in India: Policy Interventions and Solution Concepts for Sustainable City Logistics. Transportation in Developing Economies. DOI: 10.1007/s40890-022-00161-8

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