Logistics analysis demonstrates enhanced shipping lead time and route efficiency tracking in commercial distribution, suggesting improved data-driven supply chain decision-making.
This research paper presents a complete analytical approach for evaluating factory-to-customer shipping efficiency at Nassau Candy Distributor. The project converts raw order and shipment records into logistics intelligence by measuring shipping lead time, route volume, geographic performance, factory contribution, and ship mode behavior. The work combines spreadsheet review, Python programming, statistical preparation, visualization, and interactive web application development. The resulting process provides a reusable framework for analyzing shipping efficiency and supporting data-driven logistics decisions
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Chandani Bharti (2026) studied this question.
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