Tax compliance, customs, process audits and financial performance management for road, maritime, air and integrated logistics operations.
Industry risks
Key areas of risk
We assess tax, audit, social security and operational compliance in the context of your industry.
Fuel and operating costs
Fuel prices, maintenance expenses, fleet aging, inefficient routes and driver costs may directly affect operating margins.
Customs and foreign trade compliance
Errors in declarations, origin, tariff classification, transit procedures, import-export documents and delivery terms may result in penalties.
Foreign exchange and financing risk
Foreign-currency freight charges, vehicle investments, leasing obligations, insurance and international operating expenses create exposure to exchange-rate fluctuations.
Contract and service-level risk
Provisions relating to delivery times, damage, delays, contractual penalties, storage and third-party logistics may create risks of commercial disputes and lost revenue.
Tax documentation deficiencies
Deficiencies in e-invoices, e-delivery notes, freight invoices, expense recharges, documentation and expense records may create risks during tax audits.
Common needs
The needs businesses encounter
Operating profitability analysis
Monitoring profitability by transport lane, customer, vehicle, route, warehouse and service supports strategic pricing and capacity decisions.
Tax and customs advisory
VAT, withholding tax, corporate income tax, customs and foreign trade obligations in domestic and international transportation should be properly managed.
Internal audit and control
Controls over fuel consumption, fleet use, warehouse movements, documentation flows, collections and supplier processes should be strengthened.
Financial reporting
Accurate accounting for leases, depreciation, foreign exchange differences, insurance, maintenance expenses and service revenue ensures financial transparency.
Process improvement
Route planning, warehouse operations, delivery performance, damage management and customer reconciliation processes should be optimized using a data-driven approach.