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Machine learning-powered shipment tracking: Enhancing logistics efficiency

Year: 2025

Type: article

Abstract: The integration of Artificial Intelligence (AI) and Machine Learning (ML) into shipment tracking is revolutionizing logistics and supply chain management by improving real-time visibility, predictive analytics, and overall operational efficiency. This article delves into how AI-powered technologies—including IoT, data analytics, and cloud computing—enhance route optimization, inventory management, and demand forecasting, leading to reduced costs and faster deliveries. While AI drives automation and predictive maintenance, challenges such as data security, regulatory compliance, and seamless system integration remain. The discussion also explores practical industry applications, underscoring AI’s pivotal role in creating a smarter, more efficient, and interconnected supply chain ecosystem.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17773540

Author: Kumar, Milan

Language: English

Topic: Impact of AI and Big Data on Business and Society

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W7108212919

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