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The logistics sector serves as a vital artery in global trade, with freight forwarders facilitating the movement of goods from source to destination. However, the accuracy of freight billing remains a persistent challenge, attributed to factors like tariff rate fluctuations, environmental variables, and fuel costs. Manual auditing of freight bills is prone to errors and inefficiencies, potentially leading to overpayments by organizations. This paper introduces a solution named Logistic Audit Assistance, which leverages the Hadoop MapReduce framework to streamline the auditing process for freight bills. By harnessing the capabilities of big data processing and analysis offered by Hadoop, Logistic Audit Assistance aims to deliver reliable, accurate, and consistent auditing outcomes, empowering stakeholders to make well-informed decisions and optimize future logistics operations.

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Enhancing Freight Auditing Efficiency: Leveraging Hadoop MapReduce for Logistic Audit Assist

  • 会议论文

  • 发表日期：

    2025年

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  • Navya Francis,
  • Anooja Ali

摘要

The logistics sector serves as a vital artery in global trade, with freight forwarders facilitating the movement of goods from source to destination. However, the accuracy of freight billing remains a persistent challenge, attributed to factors like tariff rate fluctuations, environmental variables, and fuel costs. Manual auditing of freight bills is prone to errors and inefficiencies, potentially leading to overpayments by organizations. This paper introduces a solution named Logistic Audit Assistance, which leverages the Hadoop MapReduce framework to streamline the auditing process for freight bills. By harnessing the capabilities of big data processing and analysis offered by Hadoop, Logistic Audit Assistance aims to deliver reliable, accurate, and consistent auditing outcomes, empowering stakeholders to make well-informed decisions and optimize future logistics operations.