STREAMLINING INTERNATIONAL SHIPPING LOGISTICS

Mangayarkarasi, S. and Abu Azam, R. (2026) STREAMLINING INTERNATIONAL SHIPPING LOGISTICS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD), 11 (5). pp. 287-293. ISSN 2456-4184

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Abstract

International shipping logistics involve handling large quantities of shipment data, shipment schedules, and transportation
processes across various regions. The current project aims to develop a data-centric solution to optimize logistics processes using
the DataCo Supply Chain dataset and database tools. The developed system is based on Python and SQLite database tools to
effectively manage and analyze shipment data. The key features and functionalities of the developed system include goods tracking,
shipment time analysis, cost optimization, and detection of delayed shipment alert. The system analyzes actual and scheduled
shipment times to minimize shipment delays and optimize shipment efficiency.

Item Type: Article
Subjects: Computer Science > Database Management System
Domains: Computer Science
Depositing User: Mr IR Admin
Date Deposited: 07 Sep 2026 11:05
Last Modified: 07 Sep 2026 11:05
URI: https://ir.vistas.ac.in/id/eprint/22710

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