Developing a Financial Analytics Framework for End-to-End Logistics and Distribution Cost Control

@article{1709013,
      author = {John Oluwaseun Olajide, Bisayo Oluwatosin Otokiti, Sharon Nwani, Adebanji Samuel Ogunmokun, Bolaji Iyanu Adekunle; Joyce Efekpogua Fiemotongha},
      title = {Developing a Financial Analytics Framework for End-to-End Logistics and Distribution Cost Control},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {3},
      number = {7},
      pages = {253-261},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1709013.pdf},
      abstract = {In an era marked by increasing logistical complexity and economic volatility, effective cost control across supply chains has become paramount. This paper presents a comprehensive financial analytics framework designed to enhance cost visibility, operational efficiency, and strategic decision-making within logistics and distribution networks. Drawing on existing literature and industry best practices, the framework integrates financial data sources, such as transportation, warehousing, fuel, and labor costs, into a unified analytics system that interfaces with enterprise resource planning, transportation management, and warehouse management systems. A structured methodological design introduces key performance indicators, including cost-to-serve and delivery cost per unit, enabling organizations to monitor, predict, and optimize logistics expenditures. The framework is demonstrated through a case analysis that reveals actionable insights using dashboards, trend visualizations, and variance tracking tools. Additionally, the paper discusses operational and technological challenges, including data integration and user adoption. It concludes by outlining the practical implications for supply chain managers, financial officers, and logistics professionals, while identifying future research opportunities in AI-driven forecasting and real-time analytics integration. This study contributes a scalable and adaptable model that transforms financial oversight in logistics from a reactive process to a strategic enabler of cost control.},
      keywords = {Financial Analytics, Logistics Cost Control, Supply Chain Management, Distribution Networks, Predictive Analytics, Transportation Management Systems},
      month = {January},
  }