A Process Optimization on End-to-End Invoice Documentation in Global Freight Operations: A Study of DahNAY Logistics

Mohamed Afridi B, Dr. G. Amutha

Freight Forwarding; End-to-End Documentation; Invoicing; Supply Chain Efficiency; Agentic AI; Customs Clearance; Digital Logistics; Process Optimization

This study examines the efficiency of end-to-end documentation and invoicing within the global freight forwarding operations of DahNAY Logistics, Chennai, and proposes process improvements for accuracy, compliance, and operational performance. Design/methodology/approach: A descriptive research design is adopted, integrating insights from the company’s operational workflows and inter-departmental coordination practices with secondary data from peer-reviewed academic literature, industry benchmarks, and global logistics reports for the period 2024–2026. Findings: The analysis demonstrates that operational bottlenecks at DahNAY Logistics arise primarily from manual documentation, invoicing errors, and gaps in inter-departmental coordination. Adoption of Agentic AI, OCR/Intelligent Document Processing, blockchain, and digital twin–enabled control towers can reduce manual paperwork by up to 60%, cut customs clearance times by 75%, and raise on-time in-full performance toward the 95% global benchmark. Originality/value: The paper offers a firm-level synthesis of emerging logistics technologies and standardisation practices for a mid-sized Indian freight forwarder, and proposes a practical roadmap for transitioning from linear documentation processing toward AI-orchestrated, human-centred motion-control logistics.

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