Machine learning-powered shipment tracking: Enhancing logistics efficiency
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.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-09-30
- DOI
- https://doi.org/10.5281/zenodo.17773540
- Primary Topic
- Impact of AI and Big Data on Business and Society
- Type
- article
- Field-Weighted Citation Impact
- 0.00